Package: afni-atlases Source: afni-data Version: 0.20180120-1.1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 109419 Homepage: http://afni.nimh.nih.gov Priority: extra Section: science Filename: pool/main/a/afni-data/afni-atlases_0.20180120-1.1_all.deb Size: 98215048 SHA256: b7b30ce4345671d92cb08f939b76de42f81a6839abe3d47dba1db0620fe64e0c SHA1: 792d6506cc866acfa54fc71475f823e686f169f7 MD5sum: deaddf5e6992face9b5edeb62644187c Description: standard space brain atlases for AFNI AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provide AFNI's standard space brain templates in HEAD/BRIK format. Package: bats Version: 0.4.0-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest Homepage: https://github.com/sstephenson/bats Priority: optional Section: shells Filename: pool/main/b/bats/bats_0.4.0-1~nd14.04+1+nd14.10+1_all.deb Size: 14480 SHA256: 8bd04a0f09068dbf97979d9bc10c6be8a2ec6dab1712e0017d23009bce099b16 SHA1: a90462920736299be45615515d7b1d5dc0dd78a0 MD5sum: f83dea9f477048fbaabad963d2c4c32d Description: bash automated testing system Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. Bats is most useful when testing software written in Bash, but you can use it to test any UNIX program. Package: btrbk Version: 0.20.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, perl, libdate-calc-perl, btrfs-tools (>= 3.14) Suggests: openssh-client Homepage: http://www.digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.20.0-1~nd14.10+1_all.deb Size: 32946 SHA256: 54b2ca8bfba9e9658be18d776addbf85ce3b93688c4652a7e67c20f2c22f9eaa SHA1: 6635582dd60653076239ed7e1b069a08c59e980a MD5sum: 9a958e98c14ecede94095cce05294f16 Description: backup tool for btrfs volumes Backup tool for btrfs volumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations at once, with ssh and configurable retention support (daily/weekly/monthly). Package: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 21 Depends: neurodebian-popularity-contest, htcondor Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_all.deb Size: 14700 SHA256: 16196247a8183f8d9d1fd58ef1c0c9c7067f34f00fabde9b76c7e61acf71441d SHA1: 391f0f900cb32700a98629f1484344c7880c52db MD5sum: 66f888b1c54c87fdfa5ecb64d4a09c8f Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-dbg Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 21 Depends: neurodebian-popularity-contest, htcondor-dbg Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dbg_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_all.deb Size: 14710 SHA256: 991111c45d3d8576ea8f515ad4d1d889d971c11d98eb41220268734d5dcf600f SHA1: be40b4b889ac57c37fe1943413351e28aa555e3e MD5sum: 6540be29947ee071a5c5a1f6392e91a1 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-dev Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 21 Depends: neurodebian-popularity-contest, htcondor-dev Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-dev_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_all.deb Size: 14706 SHA256: 372c9df44dfc729eeabb5f4f1f7c237c5828c1eeb6b2b479d5b23ae4ab3c5728 SHA1: 9310e96d85a5d7af152239458130423871a7f63a MD5sum: c673933a44f624b2c9c982da2be7cd95 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: condor-doc Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 21 Depends: neurodebian-popularity-contest, htcondor-doc Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: oldlibs Filename: pool/main/c/condor/condor-doc_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_all.deb Size: 14706 SHA256: b7a81e2db3f35b8f9732d3e4cd573461879f746b87bfeba7f261ea22e1834503 SHA1: acc08b93211d0da1ff8e293e57183b8a27af7342 MD5sum: 3e2c4a8714b31a9c1ad1e780ed278b72 Description: transitional dummy package This package aids upgrades of existing Condor installations to the new project and package name "HTCondor". The package is empty and it can safely be removed. Package: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 224 Depends: neurodebian-popularity-contest, python3-datalad (= 0.17.5-1~nd+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container, datalad-crawler, datalad-neuroimaging Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_0.17.5-1~nd+1_all.deb Size: 187092 SHA256: dcfab5ab31ab85c685b4439648c3095efb236b34c92eb2f870fc1376dd0dbab1 SHA1: e8a088bc96e73f10444588eede93689410943c07 MD5sum: a4020bc221d05979fe1738d432660717 Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) Package: eeglab11-sampledata Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd11.10+1+nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8109 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd11.10+1+nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 7074250 SHA256: dbcc47c654539aba1f6c35bab391a77daa74386fa9b8723eeda1d7c3c8e0bd4e SHA1: 60b98605fac58844f0402f6aa8d2fda8628d31a8 MD5sum: c44a9aaba0021a425a98a7655461a42c Description: sample EEG data for EEGLAB tutorials EEGLAB is sofwware for processing continuous or event-related EEG or other physiological data. . This package provide some tutorial data files shipped with the EEGLAB distribution. Package: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1 Depends: neurodebian-popularity-contest, freeipmi-common (= 1.4.9-1~nd14.10+1), freeipmi-tools, freeipmi-ipmidetect, freeipmi-bmc-watchdog Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi_1.4.9-1~nd14.10+1_all.deb Size: 1238 SHA256: 7ee07a50d90cdb60d731850c73a993d86c93eb59b8e4f2ecba30e65175822756 SHA1: a978de2878ce22f9b2a75b881ff9f9c27f0f81a8 MD5sum: b58bcbe0648d8b9ea2040c1e62bdcc82 Description: GNU implementation of the IPMI protocol FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This metapackage depends on all separate modules of freeipmi. Package: freeipmi-common Source: freeipmi Version: 1.4.9-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 305 Pre-Depends: dpkg (>= 1.15.7.2~) Depends: neurodebian-popularity-contest Suggests: freeipmi-tools Homepage: http://www.gnu.org/software/freeipmi/ Priority: extra Section: admin Filename: pool/main/f/freeipmi/freeipmi-common_1.4.9-1~nd14.10+1_all.deb Size: 189268 SHA256: c6f0829c0e8b5c3291b99fa7bb49d2c111b83cfb4d2bd32388aee9f6d288b8bb SHA1: e693cf6ffa6449b508f184cf25959e3eec7d4d3a MD5sum: c8c4396d9f0b40c6bb98f8e878f8fc15 Description: GNU implementation of the IPMI protocol - common files FreeIPMI is a collection of Intelligent Platform Management IPMI system software. It provides in-band and out-of-band software and a development library conforming to the Intelligent Platform Management Interface (IPMI v1.5 and v2.0) standards. . This package provides configuration used by the rest of FreeIPMI framework and generic documentation to orient the user. Package: gcalcli Version: 3.3.2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1739 Depends: neurodebian-popularity-contest, python, python-dateutil, python-gflags, python-googleapi Recommends: gxmessage, python-parsedatetime, python-simplejson, python-vobject Homepage: https://github.com/insanum/gcalcli Priority: extra Section: utils Filename: pool/main/g/gcalcli/gcalcli_3.3.2-1~nd14.10+1_all.deb Size: 1669898 SHA256: 695748be5687783e175e808b550b0eb6cdc5ab9fdf7c4d912eece3e71bb969ac SHA1: a4fe4d292297230cc659bdb494f4e9440065e217 MD5sum: a774376dacd20f637d2a0f9b2fda9356 Description: Google Calendar Command Line Interface gcalcli is a Python application that allows you to access your Google Calendar from a command line. It's easy to get your agenda, search for events, and quickly add new events. Additionally gcalcli can be used as a reminder service to execute any application you want. Package: git-annex-remote-rclone Version: 0.5-1~ndall+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest, git-annex | git-annex-standalone, rclone Homepage: https://github.com/DanielDent/git-annex-remote-rclone Priority: optional Section: utils Filename: pool/main/g/git-annex-remote-rclone/git-annex-remote-rclone_0.5-1~ndall+1_all.deb Size: 7842 SHA256: 0b1d65c740ce1073ecdae6db121d304fe02c4bb95df552326894118a65b38319 SHA1: 34a2323c4387e61c4a69617150c463f9a7b772c5 MD5sum: 00c5a0407a998eba72d4f5eb0ad71189 Description: rclone-based git annex special remote This is a wrapper around rclone to make any destination supported by rclone usable with git-annex. . Cloud storage providers supported by rclone currently include: * Google Drive * Amazon S3 * Openstack Swift / Rackspace cloud files / Memset Memstore * Dropbox * Google Cloud Storage * Microsoft One Drive * Hubic * Backblaze B2 * Yandex Disk . Note: although Amazon Cloud Drive support is implemented, it is broken ATM see https://github.com/DanielDent/git-annex-remote-rclone/issues/22 . Package: golang-github-ncw-rclone-dev Source: rclone Version: 1.41-1~ndall0 Architecture: all Maintainer: Debian Go Packaging Team Installed-Size: 2492 Depends: golang-bazil-fuse-dev, golang-github-aws-aws-sdk-go-dev, golang-github-mreiferson-go-httpclient-dev, golang-github-ncw-go-acd-dev, golang-github-ncw-swift-dev, golang-github-pkg-errors-dev, golang-github-pkg-sftp-dev, golang-github-rfjakob-eme-dev, golang-github-skratchdot-open-golang-dev, golang-github-spf13-cobra-dev, golang-github-spf13-pflag-dev, golang-github-stacktic-dropbox-dev, golang-github-stretchr-testify-dev, golang-github-tsenart-tb-dev, golang-github-unknwon-goconfig-dev, golang-github-vividcortex-ewma-dev, golang-golang-x-crypto-dev, golang-golang-x-net-dev, golang-golang-x-oauth2-google-dev, golang-golang-x-sys-dev, golang-golang-x-text-dev, golang-google-api-dev Homepage: https://github.com/ncw/rclone Priority: optional Section: devel Filename: pool/main/r/rclone/golang-github-ncw-rclone-dev_1.41-1~ndall0_all.deb Size: 399416 SHA256: 528b53f3312375d31d5cebb95472a57272cf242e14a92cfdf99c45be2ff5511d SHA1: 75f8871fd668e815023267a857b37ad60b9d1c2f MD5sum: a87865eafe10185420838e2e4ffd7b55 Description: go source code of rclone Rclone is a program to sync files and directories between the local file system and a variety of commercial cloud storage providers. . This package contains rclone's source code. Package: htcondor-doc Source: condor Version: 8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 5570 Depends: neurodebian-popularity-contest Breaks: condor-doc (<< 8.0.5~) Replaces: condor-doc (<< 8.0.5~) Homepage: http://research.cs.wisc.edu/htcondor Priority: extra Section: doc Filename: pool/main/c/condor/htcondor-doc_8.2.3~dfsg.1-6~nd14.04+1+nd14.10+1_all.deb Size: 1016992 SHA256: 1a98a6781d620c61ae372de5c77c509354226bf21676a544e1da2a802f10fc6d SHA1: 11bb6b004200e33ed4593e0c89ada66563ffbda6 MD5sum: 4c1d926e852baf591f3807e0aaf0883d Description: distributed workload management system - documentation Like other full-featured batch systems, HTCondor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to HTCondor; HTCondor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing systems, HTCondor can also effectively harness wasted CPU power from otherwise idle desktop workstations. HTCondor does not require a shared file system across machines - if no shared file system is available, HTCondor can transfer the job's data files on behalf of the user. . This package provides HTCondor's documentation in HTML and PDF format, as well as configuration and other examples. Package: incf-nidash-oneclick-clients Source: incf-nidash-oneclick Version: 2.0-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 28 Depends: neurodebian-popularity-contest, python (>= 2.5.0), python-dicom, dcmtk, python-httplib2 Homepage: http://xnat.incf.org/ Priority: extra Section: science Filename: pool/main/i/incf-nidash-oneclick/incf-nidash-oneclick-clients_2.0-1~nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 9256 SHA256: 30230789a6350ff5d79a299e2bd6586dfa41a47846e852fcc69bd7212def7cbc SHA1: 0c9eacc13dbe8664d76ac03761a9b3463ab9e5e1 MD5sum: 5b9839355d2c7a8af60c773bbe37963d Description: utility for pushing DICOM data to the INCF datasharing server A command line utility for anonymizing and sending DICOM data to the XNAT image database at the International Neuroinformatics Coordinating Facility (INCF). This tool is maintained by the INCF NeuroImaging DataSharing (NIDASH) task force. Package: insighttoolkit4-examples Source: insighttoolkit4 Version: 4.7.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2836 Depends: neurodebian-popularity-contest Suggests: libinsighttoolkit4-dev Conflicts: insighttoolkit-examples Replaces: insighttoolkit-examples Homepage: http://www.itk.org/ Priority: optional Section: devel Filename: pool/main/i/insighttoolkit4/insighttoolkit4-examples_4.7.0-1~nd14.10+1_all.deb Size: 2500536 SHA256: ee50657c5f25f4548e3a5b6900ae179ae257038d0f7115aeeef25338157a6f23 SHA1: bad8f77f88b1c1c304e900a1a1bb0b2c64de6122 MD5sum: dab9e84b04f9d8e6db5158e35f74b017 Description: Image processing toolkit for registration and segmentation - examples ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. . This package contains the source for example programs. Package: libfreenect-doc Source: libfreenect Version: 1:0.5.2+git6-g5455843+dfsg-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 647 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.5.2+git6-g5455843+dfsg-1~nd14.10+1_all.deb Size: 90102 SHA256: 6ea272e5df38a1d119dd40b1ccbd9dadc66d72519bdede8a624d265c73cb922e SHA1: 3563a980547ef7dba79d7081b198c5fe05179d12 MD5sum: abbd5557ecf46a61fcc6107c0d0eec63 Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libmia-2.0-doc Source: mia Version: 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15020 Depends: neurodebian-popularity-contest, libjs-jquery Enhances: libmia-2.0-dev Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/libmia-2.0-doc_2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 1146960 SHA256: d0c11d07baf644415382b1421eb82cca1b48c0000191fd1a11e4821badbef2ee SHA1: adbf1ca4739c05a6db3ef88140b6c0cb7848fa4b MD5sum: b0e2386fe558cfe24e23574ae7eaa515 Description: library for 2D and 3D gray scale image processing, documentation libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the apropriate plug-ins. This package provides the Doxygen generated API reference. Package: libnifti-doc Source: nifticlib Version: 2.0.0-2~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1657 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_2.0.0-2~nd14.04+1+nd14.10+1_all.deb Size: 138662 SHA256: cdce52c9c1bb782bc43fd94989d104f7c423c1b0d9cb3421a76c48a5e7bb388a SHA1: 17d8e2d7c2b66a7df4e11b5cf57c3a3bad4fd2e1 MD5sum: e4c9adbf2aef823be616be5deed7e525 Description: NIfTI library API documentation Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the library API reference documentation. Package: libopenwalnut1-doc Source: openwalnut Version: 1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48193 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://www.openwalnut.org Priority: extra Section: doc Filename: pool/main/o/openwalnut/libopenwalnut1-doc_1.4.0~rc1+hg3a3147463ee2-1~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 2692260 SHA256: b7585ce8baac0b86359c6c14c6e57b8fea15b5a047a3977d805b7e3391a6326f SHA1: 70570afa642d5596cc627880c48e160e73012619 MD5sum: 7db259d96a72c9eeb553fac5327e3944 Description: Developer documentation for the OpenWalnut visualization framework OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API documentation of OpenWalnut. Package: mia-tools-doc Source: mia Version: 2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1138 Depends: neurodebian-popularity-contest Enhances: mia-tools Homepage: http://mia.sourceforge.net Priority: optional Section: doc Filename: pool/main/m/mia/mia-tools-doc_2.0.13-1~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 72218 SHA256: e377338d99c9bc9de6d90b9a3e39b299268885b7d8d523bcb3548e488aed97cc SHA1: dfcde5856712a45467b359d7cfed7010c4535e08 MD5sum: c801c1bb9a2f6022a4aa65ff6224ac48 Description: Cross-referenced documentation of the MIA command line tools Cross referenced documentation of the command line tools and plug-ins that are provided by the MIA gray scale image processing tool chain. These lines tools to provide the means to run general purpose image processing tasks on 2D and 3D gray scale images, and basic operations on triangular meshes interactively from the command line. Supported image processing algorithms are image filtering, combining, image registration, motion compensation for image series, and the estimation of various statistics over images. Package: mricron-data Source: mricron Version: 0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1676 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron-data_0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1_all.deb Size: 1658412 SHA256: c88e74257d9ac6c22989d52222629074156730eb683ad7943df5496a5e59d2fa SHA1: 58a9f106b4750f7bbede0a46608b321d05f8a52e MD5sum: ca5020395547dce7dd727fdb19a14261 Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides data files for MRIcron, such as brain atlases, anatomy, and color schemes. Package: mricron-doc Source: mricron Version: 0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 980 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: doc Filename: pool/main/m/mricron/mricron-doc_0.20140804.1~dfsg.1-1~nd14.04+1+nd14.10+1_all.deb Size: 577382 SHA256: 04bf87a57bc2d04e0c6faa5049beac2e1c98a5d9246ec6dc9e9f131f93e9ae37 SHA1: ad8140b44d55bdb25474cf205a95e1a88b26b292 MD5sum: dc6738db3ffaf03ad9c785cc48b62625 Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides documentation for MRIcron in HTML format. Package: netselect-apt Source: netselect Version: 0.3.ds1-25~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 26 Depends: neurodebian-popularity-contest, wget, netselect (>= 0.3.ds1-17) Recommends: curl Suggests: dpkg-dev Enhances: apt Homepage: http://github.com/apenwarr/netselect Priority: optional Section: net Filename: pool/main/n/netselect/netselect-apt_0.3.ds1-25~nd14.04+1+nd14.10+1_all.deb Size: 16834 SHA256: 44d02360c63d92dfa3c07d6457f493d7a166ab3feb81b1981824055faa65af2d SHA1: 639099f2f68a414cf67f331748013b793b13fa79 MD5sum: b9f84fa5556a4472ddc5a5eb8954e4c0 Description: speed tester for choosing a fast Debian mirror This package provides a utility that can choose the best Debian mirror by downloading the full mirror list and using netselect to find the fastest/closest one. . It can output a sources.list(5) file that can be used with package management tools such as apt or aptitude. Package: neurodebian Version: 0.37.2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 71 Depends: python, wget, neurodebian-archive-keyring, debconf (>= 0.5) | debconf-2.0 Recommends: netselect Suggests: neurodebian-desktop, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian_0.37.2~nd14.10+1_all.deb Size: 33406 SHA256: a93289f29a1b34b6f54feb08df4c8235848e8d1bc59ea5b697f1f39c4c7b569c SHA1: 2fa4d868d63f469b2609752f7b20018fc7313ee6 MD5sum: 7a09c2b1de06888958aef8f3da977931 Description: neuroscience-oriented distribution - repository configuration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package enables the NeuroDebian repository on top of a standard Debian or Ubuntu system. Package: neurodebian-archive-keyring Source: neurodebian Version: 0.37.2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11 Breaks: neurodebian-keyring (<< 0.34~) Replaces: neurodebian-keyring (<< 0.34~) Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-archive-keyring_0.37.2~nd14.10+1_all.deb Size: 10074 SHA256: c2e7af8bed48709e9f73bbd41c6741dcf384b79dfcb46e6f7f0c18ba39d59293 SHA1: ebb0cc5d4b808de6d5aba76fdac2652994fb67c3 MD5sum: 2c0179ac2ef55e3f86d610aee91f02a5 Description: neuroscience-oriented distribution - GnuPG archive keys The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-desktop Source: neurodebian Version: 0.37.2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 147 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.37.2~nd14.10+1_all.deb Size: 115946 SHA256: 1e4f128e2c0521bcccb4f011b3fc4cec574b0c255a8aeeb6650bc33f95ad7a43 SHA1: d78355c496a6ca5e769c55277f30c0a8359e18f4 MD5sum: f4a02d17d45eacea6679b480a7d6df7a Description: neuroscience-oriented distribution - desktop integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring the most popular neuroscience tools, which will be automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.37.2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 83 Depends: devscripts, neurodebian-archive-keyring Recommends: python, zerofree, moreutils, time, ubuntu-keyring, debian-archive-keyring, apt-utils, cowbuilder Suggests: virtualbox-ose, virtualbox-ose-fuse Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.37.2~nd14.10+1_all.deb Size: 32260 SHA256: eb66e306bbc1bc85dbc27f6af237c65b3aa3b33705e9d8d2f94303138ccfae09 SHA1: 9820dbe2f064af6eb5242e3b30b8c6c7e9d983ab MD5sum: b425b955fdf25713642b0e785601f728 Description: neuroscience-oriented distribution - development tools The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package provides sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.37.2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.37.2~nd14.10+1_all.deb Size: 12164 SHA256: ac29a264790f3c0b81b7815784bfcbc204c145d32227367d15040d38d340bfef SHA1: 9750ade65fd9acc86008a3aeb2ae9349130c1bb0 MD5sum: dea8a66eb8cd99d03673bcfdccc5099c Description: neuroscience-oriented distribution - popcon integration The NeuroDebian project integrates and maintains a variety of software projects within Debian that are useful for neuroscience (such as AFNI, FSL, PsychoPy, etc.) or generic computation (such as HTCondor, pandas, etc.). . This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (either Debian or Ubuntu) popcon server. . Participating in popcon is important for the following reasons: * Popular packages receive more attention from developers; bugs are fixed faster and updates are provided quicker. * It ensures that support is not dropped for a previous release of Debian or Ubuntu while there are active users. * User statistics may be useful for upstream research software developers seeking funding for continued development. . This requires that popcon is activated for the underlying distribution (Debian or Ubuntu), which can be achieved by running "dpkg-reconfigure popularity-contest" as root. Package: nuitka Version: 0.5.14+ds-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2463 Depends: neurodebian-popularity-contest, g++-4.9 | g++-4.8 | g++-4.7 | g++-4.6 (>= 4.6.1) | g++-4.5 | g++-4.4 | clang (>= 3.0), scons (>= 2.0.0), python-dev (>= 2.6.6-2), python:any (>= 2.6.6-7~) Recommends: python-lxml (>= 2.3), python-qt4 (>= 4.8.6), strace Suggests: ccache Homepage: http://nuitka.net Priority: optional Section: python Filename: pool/main/n/nuitka/nuitka_0.5.14+ds-1~nd14.10+1_all.deb Size: 570788 SHA256: 5242d1e8d6e154a36fde600434428069cc2db41e0523948218a3b0a45c049df9 SHA1: 416e34b6022e1c755cfc76a04e62b35843f12dda MD5sum: 58e244f5500bab9a6e1580123d25634d Description: Python compiler with full language support and CPython compatibility This Python compiler achieves full language compatibility and compiles Python code into compiled objects that are not second class at all. Instead they can be used in the same way as pure Python objects. Package: psychopy Version: 1.82.02.dfsg-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14481 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk3.0, python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-imaging, python-serial, python-pyo, python-psutil, python-gevent, python-msgpack, python-yaml, python-xlib, python-pandas, libavbin0, libxxf86vm1, ipython Suggests: python-iolabs, python-pyxid Conflicts: libavbin0 (= 7-4+b1) Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.82.02.dfsg-1~nd14.10+1_all.deb Size: 6063706 SHA256: 9e4efd031d309ffa7be5334414c8287098fdd6947489871e37bb5f7c2230c9d4 SHA1: e837bb0a2abb710442306068d828bd0de7314961 MD5sum: f306dda299084f6998271b1f38a9492f Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.7 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.12.20150725.dfgs1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 233284 Depends: neurodebian-popularity-contest Recommends: subversion Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.12.20150725.dfgs1-1~nd14.10+1_all.deb Size: 23805018 SHA256: 84bcf0a66980b933f02857c2f8aaf08170c53e58c8de700070478a6dc219988e SHA1: 3b1e99186188025f1054538e8c36e9b8b54e33f8 MD5sum: baa1b9e298cefc4f1f51c960dfd3572e Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: python-citeproc Source: citeproc-py Version: 0.3.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 727 Depends: neurodebian-popularity-contest, python:any (>= 2.7.5-5~), python-lxml, python:any (<< 2.8) Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python-citeproc_0.3.0-1~nd14.10+1_all.deb Size: 80534 SHA256: cdb7e17975dd55a938248ef49aead68280c739b03770a8f42c2e2168f3ac54ba SHA1: 59f492b130f25751c400a6ec48db651e7a62d65e MD5sum: 015b08b44187cb7a8c0518b8423989da Description: Citation Style Language (CSL) processor for Python Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python modules. Package: python-dicom Source: pydicom Version: 0.9.9-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1522 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8) Recommends: python-numpy, python-imaging Suggests: python-matplotlib Homepage: http://pydicom.org/ Priority: optional Section: python Filename: pool/main/p/pydicom/python-dicom_0.9.9-1~nd14.04+1+nd14.10+1_all.deb Size: 357754 SHA256: 73cfe1add618a43641c61e40689bb4a2e2e8ca3a75d79ae1d87faffc437b7711 SHA1: c3ee99c29a95595fe09becbfe2a06215f2a62999 MD5sum: 89f2ab9058ed226e84b3b983377fe48c Description: DICOM medical file reading and writing pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. Package: python-dipy Source: dipy Version: 0.9.2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4609 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-dipy-lib (>= 0.9.2-1~nd14.10+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel, python-tables Suggests: ipython Provides: python2.7-dipy Homepage: http://nipy.org/dipy Priority: optional Section: python Filename: pool/main/d/dipy/python-dipy_0.9.2-1~nd14.10+1_all.deb Size: 2340154 SHA256: dd10a35a7b251fb3dc267bcac302c01ec4fda2055bf088845ce7e7eff915b27d SHA1: d0cbe966ca4e6d30e69b4de2b92dc3c3114d57fa MD5sum: 88985d6e97bdf8f635d1871357c56e9a Description: toolbox for analysis of MR diffusion imaging data Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. It features: - Reconstruction algorithms, e.g. GQI, DTI - Tractography generation algorithms, e.g. EuDX - Intelligent downsampling of tracks - Ultra fast tractography clustering - Resampling datasets with anisotropic voxels to isotropic - Visualizing multiple brains simultaneously - Finding track correspondence between different brains - Warping tractographies into another space, e.g. MNI space - Reading many different file formats, e.g. Trackvis or NIfTI - Dealing with huge tractographies without memory restrictions - Playing with datasets interactively without storing Python-Version: 2.7 Package: python-dipy-doc Source: dipy Version: 0.9.2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12494 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://nipy.org/dipy Priority: optional Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.9.2-1~nd14.10+1_all.deb Size: 10228258 SHA256: dea3bc2cbba1c8fdf654b91f78452a3c9d38852f69c041044e35d4256107fe8b SHA1: 457d10577dc53054e5d7a9e201e6f6bb99f11416 MD5sum: c7c02b0b897226a3407c68b661ea9db6 Description: toolbox for analysis of MR diffusion imaging data -- documentation Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-expyriment Version: 0.7.0+git34-g55a4e7e-3~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2388 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-support (>= 0.90.0), python-pygame (>= 1.9.1~), python-opengl (>= 3.0.0), ttf-freefont, libjs-jquery, libjs-underscore Recommends: python-serial (>= 2.5~), python-numpy (>= 1.3.0~) Suggests: python-parallel (>= 0.2), python-pyxid Homepage: http://www.expyriment.org Priority: optional Section: science Filename: pool/main/p/python-expyriment/python-expyriment_0.7.0+git34-g55a4e7e-3~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 697330 SHA256: 96be86d6872471783be85b3e608a9e97766be8880c142768e3f6763eedbd0603 SHA1: a3eb4d68ea1095e76326d74cadf2679f8bd40300 MD5sum: 9d8be3b3d7269ab4187430a2586ce51b Description: Python library for cognitive and neuroscientific experiments Expyriment is a light-weight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments. The major goal is to provide a well-structured Python library for a script-based experiment development with a high priority on the readability of the resulting programme code. Due to the availability of an Android runtime environment, Expyriment is also suitable for the development of experiments running on tablet PCs or smart-phones. Package: python-git Version: 1.0.1+git137-gc8b8379-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1498 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-gitdb (>= 0.6.4), git (>= 1:1.7) | git-core (>= 1:1.5.3.7), libjs-jquery Suggests: python-smmap Homepage: https://github.com/gitpython-developers/GitPython Priority: optional Section: python Filename: pool/main/p/python-git/python-git_1.0.1+git137-gc8b8379-1~nd14.10+1_all.deb Size: 304734 SHA256: 0c260a561a8a48891d05f895292116c92499f98c7caf91e18988ddb5f8ef6fe9 SHA1: bda243023c61f8305db7ff9a1675ed51fda4e1e5 MD5sum: e3e8820dae26670a58966511ba34615c Description: Python library to interact with Git repositories python-git provides object model access to a Git repository, so Python can be used to manipulate it. Repository objects can be opened or created, which can then be traversed to find parent commit(s), trees, blobs, etc. Python-Version: 2.7 Package: python-jdcal Source: jdcal Version: 1.0-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 27 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python-jdcal_1.0-1~nd14.04+1+nd14.10+1_all.deb Size: 7804 SHA256: 277f14017fcd5b5421271a9685e717c7ea0d9f02eb2ee7ea9e6ee7717fcc187b SHA1: ee00c68021b719b5b63becd9f66b65e57a0d9d7b MD5sum: c7a7e346c4e49d93f965c3996ac8df4b Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python-joblib Source: joblib Version: 0.8.4-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 255 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8) Recommends: python-numpy, python-nose, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.8.4-1~nd14.04+1+nd14.10+1_all.deb Size: 64444 SHA256: 73ae5532445cda12a8bae1268dec73a1611327e5babcb4ee27f50eff7ff0a484 SHA1: 77c48c46c8c367858747a7f69f193098f9ccfe4f MD5sum: c8f05a4e819cf14f781d05418e4e9e66 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 2 version. Package: python-mne Version: 0.8.6+dfsg-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7181 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-sklearn, python-matplotlib, python-joblib (>= 0.4.5), xvfb, xauth, libgl1-mesa-dri, help2man, libjs-jquery, libjs-jquery-ui Recommends: python-nose, mayavi2 Suggests: python-dap, ipython Provides: python2.7-mne Homepage: http://martinos.org/mne Priority: optional Section: python Filename: pool/main/p/python-mne/python-mne_0.8.6+dfsg-1~nd14.04+1+nd14.10+1_all.deb Size: 4023090 SHA256: 6924bb8cf834c40f1ded2738e42c5ecec5a9ae4e9619315beeeebad727ff22ef SHA1: ae91793e7673982ba3e9134486ebf98f881c2c2e MD5sum: e92df4275f65080c57caaa6700008a2e Description: Python modules for MEG and EEG data analysis This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics. Package: python-mvpa2 Source: pymvpa2 Version: 2.4.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7903 Depends: neurodebian-popularity-contest, python (<< 2.8), python (>= 2.7), python-numpy, python-mvpa2-lib (>= 2.4.0-1~nd14.10+1) Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2 Provides: python2.7-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.4.0-1~nd14.10+1_all.deb Size: 5034384 SHA256: 7cc9bd49b5f1df97a23765657ffa200276d1ae638e96372b192b26c59d9884d6 SHA1: 91599e0cf2c289248e66d2b46407afcbc8e4b99e MD5sum: 55731f6661097fafe02b0d7f08551419 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.7 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.4.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 29065 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2, python-mvpa2-tutorialdata, ipython-notebook Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.4.0-1~nd14.10+1_all.deb Size: 4638292 SHA256: 5f0df538f2c1617f513e956899b7c52947a0d9f734496321f8a35ff0e5c4fd3f SHA1: 705baf5c57e5194247e6288c98253c24e47f374c MD5sum: 952a22bd78c86a01a853d74b19ce66a7 Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.), and example scripts. In addition the PyMVPA tutorial is also provided as IPython notebooks. Package: python-nibabel Source: nibabel Version: 2.0.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63246 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy Recommends: python-dicom, python-fuse Suggests: python-nibabel-doc Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_2.0.1-2~nd14.10+1_all.deb Size: 1971062 SHA256: b5762ed688970845cabe43a6fd24e8a5419749867a54eed40b0eec6e846da0dd SHA1: 28f6ba00ceaaa28a500e9b12b91490229aabfac4 MD5sum: 0600afcc0b95e6e695540b4ae8fd2784 Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tools: . - dicomfs - FUSE filesystem on top of a directory with DICOMs - nib-ls - 'ls' for neuroimaging files - parrec2nii - for conversion of PAR/REC to NIfTI images Package: python-nibabel-doc Source: nibabel Version: 2.0.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5520 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-mathjax Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_2.0.1-2~nd14.10+1_all.deb Size: 2674962 SHA256: 1911e85a107cd202b6fe637fc107160e8ac26d5b676d5a27517e5595ec50b017 SHA1: fec2907357cb2ac6712cb08ece2e1b37142e4d91 MD5sum: 11a9de388a123c1de0986dac0a1082cc Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nilearn Source: nilearn Version: 0.1.4+git3-g60d2a1b~dfsg.1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1861 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.6), python-nibabel (>= 1.1.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-scipy (>= 0.9), python-sklearn (>= 0.12.1) Recommends: python-matplotlib Provides: python2.7-nilearn Homepage: https://nilearn.github.io Priority: extra Section: python Filename: pool/main/n/nilearn/python-nilearn_0.1.4+git3-g60d2a1b~dfsg.1-1~nd14.10+1_all.deb Size: 635686 SHA256: 8d8657ea7422b18b414fb3af44d887e3f41a0ba6ae63b88af58fbc2fa053b4a7 SHA1: 8c2bda1da4063cce756b3c2395739ef6b10800e1 MD5sum: c532796400fcf7ac4a91fdec52f992e1 Description: fast and easy statistical learning on neuroimaging data This Python module leverages the scikit-learn toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. Python-Version: 2.7 Package: python-nipy Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2953 Depends: neurodebian-popularity-contest, python-numpy (>= 1:1.2), python (>= 2.7), python (<< 2.8), python-scipy, python-nibabel, python-nipy-lib (>= 0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.7-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1_all.deb Size: 725114 SHA256: 1a77003966bd444bfb628bedf78ea68e980e4030226a85e8506085397b99b9d2 SHA1: 6f2a06371b9f30e640dcfd2d854e2e356100535d MD5sum: 18ef42027276010816c175440175de7f Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.7 Package: python-nipy-doc Source: nipy Version: 0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8010 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.3.0+git262-gbb838d7-1~nd14.04+1+nd14.10+1_all.deb Size: 1147150 SHA256: a412040cace45e5316a228d73535986684f7678a7b0fb9266595523b3592179a SHA1: 2bd622f540678464be342f7fc91fec7a1baa1329 MD5sum: 29e1e56f131a5d725dd8bef54432cbe5 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-openpyxl Source: openpyxl Version: 2.3.0~b2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1121 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-jdcal Recommends: python-pytest, python-pil, python-imaging, python-lxml Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_2.3.0~b2-1~nd14.10+1_all.deb Size: 192482 SHA256: 8efe062c21fa267893811204fe2f8125947ab12029900bd9693d2537755f322b SHA1: 52167dcdd2a46f7b68810b0bcbdb01c77afc8c9d MD5sum: ac759e47656a7aed2f8c5302172c312d Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-pandas Source: pandas Version: 0.16.2+git65-g054821d-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10573 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-dateutil, python-tz, python-numpy (>= 1:1.7~), python-pandas-lib (>= 0.16.2+git65-g054821d-1~nd14.10+1), python-six Recommends: python-scipy, python-matplotlib, python-tables, python-numexpr, python-xlrd, python-statsmodels, python-openpyxl, python-xlwt, python-bs4, python-html5lib, python-lxml Suggests: python-pandas-doc Provides: python2.7-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.16.2+git65-g054821d-1~nd14.10+1_all.deb Size: 1502642 SHA256: 9b3f2f565fe5fa7e4a7f5a4f6475569caa3414b419d6684f7ca3c052515870ca SHA1: 0e5f06fc8af98d21e238f85113b650f05da9f619 MD5sum: 1583d6097c1f70f3dda109831358065e Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. Package: python-pandas-doc Source: pandas Version: 0.16.2+git65-g054821d-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35311 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: doc Filename: pool/main/p/pandas/python-pandas-doc_0.16.2+git65-g054821d-1~nd14.10+1_all.deb Size: 5338550 SHA256: d7a3cd13b08f7c174b4f1ce579b80b47b11269cb9476078d350179317b8cf0d0 SHA1: 09aee085a4c3fa389bd25685af8e870eacc99b09 MD5sum: 00270d4d2e8d50f0e29329594d5f31b6 Description: documentation and examples for pandas This package contains documentation and example scripts for python-pandas. Package: python-patsy Source: patsy Version: 0.4.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 753 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-six, python-numpy Recommends: python-pandas, python-openpyxl Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python-patsy_0.4.0-1~nd14.10+1_all.deb Size: 168880 SHA256: 12e3e3facf57911e5e8b3513eae44139082311a10273515f881aa3f028e27773 SHA1: 653f77cb3c6436c5ae2f2f63ee5b17a6268c2bf5 MD5sum: 0c6f4a3a0a974f9b7fce963dbc323121 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 2 version. Package: python-patsy-doc Source: patsy Version: 0.4.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1328 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-patsy Homepage: http://github.com/pydata/patsy Priority: optional Section: doc Filename: pool/main/p/patsy/python-patsy-doc_0.4.0-1~nd14.10+1_all.deb Size: 356424 SHA256: 229987f7122f7a7ef435366057985d5b6ed7108acc8c263723f024890e7f5102 SHA1: a8b3f3ae687ff6cc2d572055f1608aca223515a4 MD5sum: d57517f60931ddf24ca8450fde7a8fc5 Description: documentation and examples for patsy This package contains documentation and example scripts for python-patsy. Package: python-pprocess Source: pprocess Version: 0.5-1+nd0~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 716 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Homepage: http://www.boddie.org.uk/python/pprocess.html Priority: optional Section: python Filename: pool/main/p/pprocess/python-pprocess_0.5-1+nd0~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 81916 SHA256: 94d23362986b973162bd51d1ce7a9ea2a805ba11633f3c6d36c46a4ad80a97d0 SHA1: 74e36bc6d60b64516fd8e1325defca5fc029cd78 MD5sum: 2c005ec72528191e27513246f15a6788 Description: elementary parallel programming for Python The pprocess module provides elementary support for parallel programming in Python using a fork-based process creation model in conjunction with a channel-based communications model implemented using socketpair and poll. On systems with multiple CPUs or multicore CPUs, processes should take advantage of as many CPUs or cores as the operating system permits. Python-Version: 2.7 Package: python-py Version: 1.4.30-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 269 Depends: neurodebian-popularity-contest, python:any (>= 2.7.5-5~), python:any (<< 2.8), python-pkg-resources Suggests: subversion, python-pytest, python-pytest-xdist Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python-py_1.4.30-1~nd14.10+1_all.deb Size: 66778 SHA256: 499c2e1f2dfcd4486f56164786a9c0cb5d87a87266610bb72d9f44bf05e4a2a8 SHA1: 016148ac1319eb19fc1c1f320f153c7c4c433c5a MD5sum: 51b145a8be18072a423b2334b755375d Description: Advanced Python development support library (Python 2) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 2 modules. Package: python-pyepl-common Source: pyepl Version: 1.1.0+git12-g365f8e3-2~nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 813 Depends: neurodebian-popularity-contest, python Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl-common_1.1.0+git12-g365f8e3-2~nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 819446 SHA256: 361622ea80bc90c01667360e4b7f253bc756f23bdbe72e73485df62959812435 SHA1: de8f2e5f151e0d67671a43707c536a0a8495ccac MD5sum: 9fc9644a3800d3c3d38c65d1962a12ec Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides common files such as images. Package: python-pymc-doc Source: pymc Version: 2.3.4+ds-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1860 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Homepage: http://pymc-devs.github.com/pymc/ Priority: extra Section: doc Filename: pool/main/p/pymc/python-pymc-doc_2.3.4+ds-1~nd14.04+1+nd14.10+1_all.deb Size: 839966 SHA256: 85ef012bbb62d9b60a10fb8de353f0a7bc2683b9e3ac798bff131ff7ffb18ed8 SHA1: 562addbfff5429c9164bd794b9c6522530df0734 MD5sum: 23c0df6c1ab2060decad3986d7024748 Description: Bayesian statistical models and fitting algorithms PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics. . This package provides the documentation in HTML format. Package: python-pynn Source: pynn Version: 0.7.5-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 763 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Recommends: python-jinja2, python-cheetah Suggests: python-neuron, python-brian, python-csa Homepage: http://neuralensemble.org/trac/PyNN Priority: extra Section: python Filename: pool/main/p/pynn/python-pynn_0.7.5-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 123212 SHA256: 5aec823d5a5dac31e612eb7ae0a3f2de5a33d39414362763afbe247df86ae3a5 SHA1: bb88b654777bc5e4142ee1d390f9cdcd72b1613f MD5sum: 08215c079d68feb36667cb2814601ce8 Description: simulator-independent specification of neuronal network models PyNN allows for coding a model once and run it without modification on any simulator that PyNN supports (currently NEURON, NEST, PCSIM and Brian). PyNN translates standard cell-model names and parameter names into simulator-specific names. Package: python-pytest Source: pytest Version: 2.7.2-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 424 Depends: neurodebian-popularity-contest, python-pkg-resources, python-py (>= 1.4.29), python:any (>= 2.7.5-5~), python, python:any (<< 2.8) Suggests: python-mock (>= 1.0.1) Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python-pytest_2.7.2-2~nd14.10+1_all.deb Size: 102450 SHA256: aad3a05ca34b5684a11e4d33209dc097e617ef3c5b3299bfcfe2595adbfa5ebc SHA1: 595b79c27c3e5188137ee5a7ec699bdf439b34e7 MD5sum: 2021eab0787da967eb30cb23200b5f8c Description: Simple, powerful testing in Python This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. Package: python-pytest-doc Source: pytest Version: 2.7.2-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2879 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Recommends: python-pytest | python3-pytest Homepage: http://pytest.org/ Priority: optional Section: doc Filename: pool/main/p/pytest/python-pytest-doc_2.7.2-2~nd14.10+1_all.deb Size: 401862 SHA256: b45653894b0c54bf7714f02761f753803d2546068b07dcbbdf40fe97ff79b13c SHA1: d15c5e5770ffeb16f7f8e6ba0834ccc8f558df25 MD5sum: d2c268f009f9e88f46b961efd37b2d13 Description: Simple, powerful testing in Python - Documentation This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package contains the documentation for pytest. Package: python-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python-pytest, python-werkzeug (>= 0.10), python:any (>= 2.7.5-5~), python:any (<< 2.8) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python-pytest-localserver_0.3.4-1~nd14.10+1_all.deb Size: 18268 SHA256: 1dddf5032f11db9707ccea8392e212d5c58d2dc76b71728bc0d0d587e511fe72 SHA1: 35bc9303618ed91c77c7d4479003a8489cba2e4a MD5sum: 456bb12be494a5f6cda14efbb3cf0708 Description: py.test plugin to test server connections locally (Python 2) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 2. Package: python-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-tornado, python-pytest Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python-pytest-tornado_0.4.4-1~nd14.10+1_all.deb Size: 5748 SHA256: af76018796af07e26f9bbd898734efa0ac29285b807cdb2f55b56df9e26f83d8 SHA1: d6fddc284bf7d182f97735114078d72c22d53769 MD5sum: c23de8c96e4b24ea5656ba5c1ba68e55 Description: py.test plugin to test Tornado applications pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 2 code. Package: python-scikits-learn Source: scikit-learn Version: 0.16.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 51 Depends: neurodebian-popularity-contest, python-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.16.1-2~nd14.10+1_all.deb Size: 47872 SHA256: 368fb146a242572a44bd36ef222e4bffb27836d9542c3ab623bd540d01aa7fa4 SHA1: 1f9ebb8585891068323e0aa00d43abe3c0bde7e6 MD5sum: f86ed1aa53f15a5dbf3f8ac2f8b0071a Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-scrapy Version: 1.0.3-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 812 Depends: neurodebian-popularity-contest, python-boto, python-cssselect, python-libxml2, python-lxml, python-queuelib, python-twisted-conch, python-twisted-core, python-twisted-mail, python-twisted-web, python-w3lib (>= 1.8), python, python-openssl, python:any (>= 2.7.5-5~), python:any (<< 2.8), python-twisted, python-six, python-service-identity Recommends: ipython, python-django, python-guppy, python-imaging, python-mysqldb, python-pygments, python-simplejson | python (>= 2.6) Provides: python2.7-scrapy Homepage: http://scrapy.org/ Priority: optional Section: python Filename: pool/main/p/python-scrapy/python-scrapy_1.0.3-1~nd14.10+1_all.deb Size: 176666 SHA256: 6bfa4de5d630b62d19a355ec255bb19878fd46c4d0ba1529bd761d4bd72ad3d5 SHA1: 0dd41295ea26052a24995c191116f4b32f721c63 MD5sum: 3ddc64b984878299edeab922421fbcce Description: Python web scraping and crawling framework Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy script and modules. Package: python-scrapy-doc Source: python-scrapy Version: 1.0.3-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7045 Depends: neurodebian-popularity-contest Recommends: libjs-jquery, libjs-underscore Homepage: http://scrapy.org/ Priority: optional Section: doc Filename: pool/main/p/python-scrapy/python-scrapy-doc_1.0.3-1~nd14.10+1_all.deb Size: 1563280 SHA256: 8d0706544557de31c22c225e948f889d4f70eae4ac0b01908c5707dabbd8bf62 SHA1: e17c7e2047856e99fad0b588374c09678366e5af MD5sum: 8d7151ad57ba914e4b60973b0ab5ff28 Description: Python web scraping and crawling framework documentation Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. . This package provides the python-scrapy documentation in HTML format. Package: python-seaborn Source: seaborn Version: 0.6.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 676 Depends: neurodebian-popularity-contest, python:any (>= 2.7.5-5~), python:any (<< 2.8), python-numpy, python-scipy, python-pandas, python-matplotlib Recommends: python-statsmodels, python-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python-seaborn_0.6.0-1~nd14.10+1_all.deb Size: 117832 SHA256: bf1c7f05545bef21ac4a976a65a5692c54be712b01c4d29b2913185e2c9069f2 SHA1: 30c7c9c3b3c45a5f1f8652b11b21805865d939dc MD5sum: 1ffde2fd4cab629dc1b4e6cdcb332d1e Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 2 version of the package. Package: python-six Source: six Version: 1.9.0-3~bpo8+1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34 Depends: neurodebian-popularity-contest, python:any (>= 2.7.5-5~), python:any (<< 2.8) Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six_1.9.0-3~bpo8+1~nd14.10+1_all.deb Size: 11104 SHA256: 0b618d1534b0df58ca2c7ed9f523cdc65057309ffea15b65cbff7a7bbdf62f4a SHA1: 283a26e6128927f4160bf64fd34542035213c669 MD5sum: b3cba99dba5982d836994456e94e2786 Description: Python 2 and 3 compatibility library (Python 2 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 2 module path. It is complemented by python3-six. Package: python-six-whl Source: six Version: 1.9.0-3~bpo8+1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python-six-whl_1.9.0-3~bpo8+1~nd14.10+1_all.deb Size: 13322 SHA256: 1db888dd6a052b7703ab8305f3c16a7eb5ef8ddfae7bcfaf8de83bbf7327f717 SHA1: ed6f63c5ef851b306484160281f8b1a20af8e393 MD5sum: 18714212c5cdb6b07ce20aa9625661dc Description: Python 2 and 3 compatibility library (universal wheel) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six as a universal wheel. Package: python-sklearn Source: scikit-learn Version: 0.16.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4588 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-numpy, python-scipy, python-sklearn-lib (>= 0.16.1-2~nd14.10+1), python-joblib (>= 0.4.5) Recommends: python-nose, python-matplotlib Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.7-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.16.1-2~nd14.10+1_all.deb Size: 1112656 SHA256: 87b28aec160e429fe5cbf4ce64ed3e75823e3d106209f42373ab6d6eed5e6b11 SHA1: f16864c11d0dab7b35a7a027a3040b45d35c275b MD5sum: 6d125fcfe844271d258f584988bb1c37 Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Package: python-sklearn-doc Source: scikit-learn Version: 0.16.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23590 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.16.1-2~nd14.10+1_all.deb Size: 3967300 SHA256: 375985bb4219725fda828112a68a5f0e8fe80c2f241776703f7af8e6ca0c9373 SHA1: 6824b3972401332394b4b60057c7c4b0b584f04e MD5sum: 87601eb9e3baeab8d163083e6d6e0224 Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-smmap Version: 0.9.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8) Suggests: python-nose Provides: python2.7-smmap Homepage: https://github.com/Byron/smmap Priority: extra Section: python Filename: pool/main/p/python-smmap/python-smmap_0.9.0-1~nd14.10+1_all.deb Size: 20088 SHA256: 341c5fa5305cead651b6cd692c193861cfc54a547457af953e5042357cd956b1 SHA1: a9d80e005ecfa89203d39e33ba7ef3d226935e40 MD5sum: b5e990743061e08ebfe504200db22e66 Description: pure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. Package: python-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 332 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python:any (>= 2.7.5-5~), python:any (<< 2.8) Recommends: python-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python-sphinx-rtd-theme_0.1.8-1~nd14.10+1_all.deb Size: 117176 SHA256: a00e9a7789321536d4076cbd655f61d787a9add8101681d67e0419c243048986 SHA1: aa53a9597f94bc693b6b8b858b33004ffc48ab7c MD5sum: 79ac4792601caa9cf89ac9787c31d59b Description: sphinx theme from readthedocs.org (Python 2) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 2 version of the package. Package: python-surfer Source: pysurfer Version: 0.5-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 154 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-numpy, python-scipy, python-nibabel, python-pil | python-imaging, mayavi2, python-argparse Recommends: mencoder Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.5-1~nd14.04+1+nd14.10+1_all.deb Size: 38718 SHA256: 216a02d26692d1418db52af2896d8f9430f7da88e2d71864df87b518d2115df5 SHA1: 11e30cc73a3d6a3c0eb963cad9408b21d338bf42 MD5sum: d1ab44e37b2d05fb17e1f19b6898a758 Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.7 Package: python-w3lib Version: 1.11.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-six (>= 1.6.1) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python-w3lib_1.11.0-1~nd14.10+1_all.deb Size: 14192 SHA256: 7889fa0d4ffdcb5701756ede6d88baf798eddfb8c490fb99131113c64a7fffab SHA1: 720251e5fdc13a88795e0b99c5b1d417fd8a0a0e MD5sum: 98d684999a66701bddf93ef34ba6c38b Description: Collection of web-related functions for Python (Python 2) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 2 version of the package. Package: python-werkzeug Version: 0.10.4+dfsg1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 727 Depends: neurodebian-popularity-contest, python:any (<< 2.8), python:any (>= 2.7.5-5~), libjs-jquery Recommends: python-simplejson | python (>= 2.6), python-openssl, python-pyinotify Suggests: ipython, python-genshi, python-pkg-resources, python-lxml, python-greenlet, python-redis, python-pylibmc | python-memcache, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python-werkzeug_0.10.4+dfsg1-1~nd14.10+1_all.deb Size: 163390 SHA256: 432e41161a84102415e3104171fd1296fd8216b57f1d4ad47a656a474797ef9c SHA1: 245df3aa3a0aa83b8bfb0a61bd34f700f0e03ed6 MD5sum: 9593e658a01c070b54447de968f03695 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python-werkzeug-doc Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2559 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 1.0) Conflicts: python-werkzeug (<< 0.9.3+dfsg-2) Replaces: python-werkzeug (<< 0.9.3+dfsg-2) Homepage: http://werkzeug.pocoo.org/ Priority: extra Section: doc Filename: pool/main/p/python-werkzeug/python-werkzeug-doc_0.10.4+dfsg1-1~nd14.10+1_all.deb Size: 880258 SHA256: 102c000b1dec3006a499c68e8c163211be779a64776693c6e8a4554ba8e98fc5 SHA1: 460690e597f25478f734e356bd4e7181aa79e50d MD5sum: 80c74a8abe169a047746a44c8deb1797 Description: documentation for the werkzeug Python library Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: python3-citeproc Source: citeproc-py Version: 0.3.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 731 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3, python3-lxml Homepage: https://github.com/brechtm/citeproc-py Priority: optional Section: python Filename: pool/main/c/citeproc-py/python3-citeproc_0.3.0-1~nd14.10+1_all.deb Size: 82038 SHA256: d4ed393b012660ee0455f88099aad2cd672f196eadf1fb57a155aad32bee980a SHA1: 252d45eb46c5e9da64b106c057c199feb7b86804 MD5sum: eb511d73db4d05a2ea08c6eafe3eab4b Description: Citation Style Language (CSL) processor for Python3 Citeproc-py is a library that produces formatted bibliographies and citations from bibliographic databases following formatting instructions provided by XML style files written in the Citation Style Language (CSL). . Currently, BibTeX and JSON are supported as input database formats, and plain text, reStructuredText and HTML as output format. . This package contains the Python 3 modules and the CLI tool csl_unsorted. Package: python3-datalad Source: datalad Version: 0.17.5-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4665 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, p7zip-full, python3 (>= 3.7), python3-annexremote, python3-distro, python3-distutils | libpython3-stdlib (<= 3.6.4~rc1-2), python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3-importlib-metadata | python3 (>> 3.10), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-mock, python3-msgpack, python3-pil, python3-platformdirs, python3-requests (>= 1.2), python3-secretstorage, python3-simplejson, python3-six, python3-tqdm, python3-chardet, python3-packaging, python3:any Recommends: python3-boto, python3-exif, python3-html5lib, python3-httpretty, python3-jsmin, python3-libxmp, python3-lzma, python3-mutagen, python3-pytest, python3-pyperclip, python3-requests-ftp, python3-vcr, python3-whoosh Suggests: python3-duecredit, datalad-container, datalad-crawler, datalad-neuroimaging, python3-bs4, python3-numpy Breaks: datalad-container (<< 1.1.2) Homepage: https://datalad.org Priority: optional Section: python Filename: pool/main/d/datalad/python3-datalad_0.17.5-1~nd+1_all.deb Size: 958872 SHA256: 1f3e16c16863bab40ba92405109ab26c78f19e3e86e2b38733a035221c4e7744 SHA1: 873da190eb5ee83576ff519c2d564e1f841abe5b MD5sum: 7a97a6f55929cc103dd60d7783a9565e Description: data files management and distribution platform DataLad is a data management and distribution platform providing access to a wide range of data resources already available online. Using git-annex as its backend for data logistics it provides following facilities built-in or available through additional extensions . - command line and Python interfaces for manipulation of collections of datasets (install, uninstall, update, publish, save, etc.) and separate files/directories (add, get) - extract, aggregate, and search through various sources of metadata (xmp, EXIF, etc; install datalad-neuroimaging for DICOM, BIDS, NIfTI support) - crawl web sites to automatically prepare and update git-annex repositories with content from online websites, S3, etc (install datalad-crawler) . This package installs the module for Python 3, and Recommends install all dependencies necessary for searching and managing datasets, publishing, and testing. If you need base functionality, install without Recommends. Package: python3-jdcal Source: jdcal Version: 1.0-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23 Depends: neurodebian-popularity-contest Homepage: https://github.com/phn/jdcal Priority: optional Section: python Filename: pool/main/j/jdcal/python3-jdcal_1.0-1~nd14.04+1+nd14.10+1_all.deb Size: 7614 SHA256: cc3dcd93ddd416b1e50a2bddd1cd7b0316b2818085cec9d2c0c29384f62899a2 SHA1: 2978e517cafec28c92aeee6d67b895580ca628b8 MD5sum: 0ca065002880e278c4a0ab308eda75c9 Description: Julian dates from proleptic Gregorian and Julian calendars This module contains functions for converting between Julian dates and calendar dates. . Different regions of the world switched to Gregorian calendar from Julian calendar on different dates. Having separate functions for Julian and Gregorian calendars allow maximum flexibility in choosing the relevant calendar. Package: python3-joblib Source: joblib Version: 0.8.4-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 251 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~) Recommends: python3-numpy, python3-nose, python3-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python3-joblib_0.8.4-1~nd14.04+1+nd14.10+1_all.deb Size: 61598 SHA256: c6257f5316ed1f8483c54fe65a7249032db4ec43f81b23c87a94d14d11bff7db SHA1: 5fc42e9a72468b81fd19b73e37099a712dc2677d MD5sum: 6486bfc1af0cc66478ab1b708b590a11 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: . - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. . This package contains the Python 3 version. Package: python3-nibabel Source: nibabel Version: 2.0.1-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 63216 Depends: neurodebian-popularity-contest, python3-numpy, python3-scipy Suggests: python-nibabel-doc, python3-dicom, python3-fuse Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python3-nibabel_2.0.1-2~nd14.10+1_all.deb Size: 1962148 SHA256: 51264dee7064e2494cdc3b33870315c34761031ad7e44fd868f77223299f687f SHA1: ac775fe16541e1a133221088b8301e61f8ed9c1a MD5sum: 20334b8bb0f03c74f34e07d8a70aecfe Description: Python3 bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. Package: python3-openpyxl Source: openpyxl Version: 2.3.0~b2-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1115 Depends: neurodebian-popularity-contest, python3-jdcal, python3:any (>= 3.3.2-2~) Recommends: python3-pytest, python3-pil, python3-lxml Homepage: http://bitbucket.org/openpyxl/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python3-openpyxl_2.3.0~b2-1~nd14.10+1_all.deb Size: 190916 SHA256: 09c3c9146c0f27e5f8d75fb3b87b947f160a732f531ae67df5b1a9970dbc54bb SHA1: 5f6b25213881c30ba5ed5de58df9a163ff996dbb MD5sum: 4bb98d46abf4b5ecfcc64719d4730b4e Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python3-pandas Source: pandas Version: 0.16.2+git65-g054821d-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10556 Depends: neurodebian-popularity-contest, python3-tz, python3-dateutil, python3:any (>= 3.3.2-2~), python3-numpy (>= 1:1.7~), python3-pandas-lib (>= 0.16.2+git65-g054821d-1~nd14.10+1) Recommends: python3-scipy, python3-matplotlib, python3-numexpr, python3-tables, python3-bs4, python3-html5lib, python3-six, python3-lxml Suggests: python-pandas-doc Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python3-pandas_0.16.2+git65-g054821d-1~nd14.10+1_all.deb Size: 1499924 SHA256: 651fa11cea99ddbe06bff2e0214f22df9654c02c1569e74db34d35cd9afde2a6 SHA1: 648cba08334da04b40e141cf71eeaba1a4ed951e MD5sum: f66f08e07a6e60d9ffc612b61ad80a3d Description: data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python3-patsy Source: patsy Version: 0.4.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 751 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six, python3-numpy Recommends: python3-pandas Suggests: python-patsy-doc Homepage: http://github.com/pydata/patsy Priority: optional Section: python Filename: pool/main/p/patsy/python3-patsy_0.4.0-1~nd14.10+1_all.deb Size: 168322 SHA256: c48758942f1c9860a7d8aa282b8755343ce954df6dd1e776d0d2767d330a271c SHA1: 73529edd117758c0ba7491a5e038814e2c24f289 MD5sum: 3b7be5f6f7084696aae048d4b72ab431 Description: statistical models in Python using symbolic formulas patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. . This package contains the Python 3 version. Package: python3-py Source: python-py Version: 1.4.30-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 270 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-pkg-resources Suggests: subversion, python3-pytest Homepage: https://bitbucket.org/pytest-dev/py Priority: optional Section: python Filename: pool/main/p/python-py/python3-py_1.4.30-1~nd14.10+1_all.deb Size: 66826 SHA256: 8d17e4947c627b0015303edb3f107d3237f2e615df25cce628b03aef24b385c9 SHA1: e603dabb5dd3c11e783bea0ffaaf0371d047ed46 MD5sum: f6f0e6f6657e7939f4902f775b631709 Description: Advanced Python development support library (Python 3) The Codespeak py lib aims at supporting a decent Python development process addressing deployment, versioning and documentation perspectives. It includes: . * py.path: path abstractions over local and Subversion files * py.code: dynamic code compile and traceback printing support . This package provides the Python 3 modules. Package: python3-pytest Source: pytest Version: 2.7.2-2~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 424 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3-py (>= 1.4.29), python3:any (>= 3.3.2-2~), python3 Homepage: http://pytest.org/ Priority: optional Section: python Filename: pool/main/p/pytest/python3-pytest_2.7.2-2~nd14.10+1_all.deb Size: 102646 SHA256: c899d6709f2a71e93c53bbc469f33cde930397fbbcdd5a69709720178be0781a SHA1: 373225960ac2f24e861e099c955dc10be12278b4 MD5sum: 489a0e58e7e7d02523203ffbe6a34a0d Description: Simple, powerful testing in Python3 This testing tool has for objective to allow the developers to limit the boilerplate code around the tests, promoting the use of built-in mechanisms such as the `assert` keyword. . This package provides the Python 3 module and the py3.test script. Package: python3-pytest-localserver Source: pytest-localserver Version: 0.3.4-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Depends: neurodebian-popularity-contest, python3-pytest, python3-werkzeug (>= 0.10), python3:any (>= 3.3.2-2~) Homepage: https://pypi.python.org/pypi/pytest-localserver Priority: optional Section: python Filename: pool/main/p/pytest-localserver/python3-pytest-localserver_0.3.4-1~nd14.10+1_all.deb Size: 18346 SHA256: c3fb8104c0c91b0991bedbcc5091b7ef877b953665ad36ed36d9f601fecc0672 SHA1: 65c60e6a05274a57c5ce18d8d1e95f0be382e116 MD5sum: b01fc412ade13ad577e8031cc1180d51 Description: py.test plugin to test server connections locally (Python 3) pytest-localserver is a plugin for the Pytest testing framework which enables to test server connections locally. . This package contains the modules for Python 3. Package: python3-pytest-tornado Source: pytest-tornado Version: 0.4.4-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-tornado, python3-pytest Homepage: https://github.com/eugeniy/pytest-tornado Priority: optional Section: python Filename: pool/main/p/pytest-tornado/python3-pytest-tornado_0.4.4-1~nd14.10+1_all.deb Size: 5834 SHA256: 9feaada78d4610aee1ec55fc14fba0881836bf504f9f5874cc4750bb2b89631b SHA1: 0218b14d62d956011ed6dcbaa5a85d36c2babff0 MD5sum: 6758db6c9c237c2ff09028d74fc2e30d Description: py.test plugin to test Tornado applications (Python 3) pytest-tornado is a plugin for the Pytest testing framework which provides fixtures and markers to simplify testing of Tornado applications (Python web framework and ansynchronous networking library). . This package contains the plugin for Python 3 code. Package: python3-seaborn Source: seaborn Version: 0.6.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 676 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-numpy, python3-scipy, python3-pandas, python3-matplotlib Recommends: python3-patsy Homepage: https://github.com/mwaskom/seaborn Priority: optional Section: python Filename: pool/main/s/seaborn/python3-seaborn_0.6.0-1~nd14.10+1_all.deb Size: 117896 SHA256: 996f5c545f51c8b8796a5cc5342d8b277a9db56b81cbb75f4672984d5f8668b6 SHA1: 38f7841fbc8c22b8bbeff4703a171d985fe434b8 MD5sum: 6889e10e26d9d7ba9aec729736c4e4f8 Description: statistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 3 version of the package. Package: python3-six Source: six Version: 1.9.0-3~bpo8+1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 35 Depends: neurodebian-popularity-contest, python3:any (>= 3.4~) Multi-Arch: foreign Homepage: http://pythonhosted.org/six/ Priority: optional Section: python Filename: pool/main/s/six/python3-six_1.9.0-3~bpo8+1~nd14.10+1_all.deb Size: 11178 SHA256: 8c5a28fcdfced284a3054c1837b232cee715ad9e4f6fabdc835869b2a7c96a17 SHA1: 3271998bffbaf67fc72af41fb44e3793219e76b9 MD5sum: ae2189e3b18919bc2b68d353e03d3bd8 Description: Python 2 and 3 compatibility library (Python 3 interface) Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. . This package provides Six on the Python 3 module path. It is complemented by python-six. Package: python3-sphinx-rtd-theme Source: sphinx-rtd-theme Version: 0.1.8-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 332 Depends: neurodebian-popularity-contest, fonts-font-awesome, fonts-lato, libjs-modernizr, python3:any (>= 3.3.2-2~) Recommends: python3-sphinx Homepage: https://github.com/snide/sphinx_rtd_theme Priority: optional Section: python Filename: pool/main/s/sphinx-rtd-theme/python3-sphinx-rtd-theme_0.1.8-1~nd14.10+1_all.deb Size: 117356 SHA256: 172339f075dee569c6f4a793a5ac0ce09929461ffbc2b9694f020cc10c8af802 SHA1: 30e0e21162c8dc199cad6524d01ede4f7a52a20a MD5sum: e9f51b4a20e078e75fc03be5df02fa91 Description: sphinx theme from readthedocs.org (Python 3) This mobile-friendly sphinx theme was initially created for readthedocs.org, but can be incorporated in any project. . Among other things, it features a left panel with a browseable table of contents, and a search bar. . This is the Python 3 version of the package. Package: python3-w3lib Source: python-w3lib Version: 1.11.0-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), python3-six (>= 1.6.1) Homepage: http://pypi.python.org/pypi/w3lib Priority: optional Section: python Filename: pool/main/p/python-w3lib/python3-w3lib_1.11.0-1~nd14.10+1_all.deb Size: 14292 SHA256: 8ac66a2f945323bbdefc743b3b8ed327b3254ef12dfd78e64344e2cbfa7c69f4 SHA1: 35da05e2ae5edba95095d07089770e271debea4d MD5sum: c22b3c58943a3bb20e5be1494c821e6a Description: Collection of web-related functions for Python (Python 3) Python module with simple, reusable functions to work with URLs, HTML, forms, and HTTP, that aren’t found in the Python standard library. . This module is used to, for example: - remove comments, or tags from HTML snippets - extract base url from HTML snippets - translate entites on HTML strings - encoding mulitpart/form-data - convert raw HTTP headers to dicts and vice-versa - construct HTTP auth header - RFC-compliant url joining - sanitize urls (like browsers do) - extract arguments from urls . The code of w3lib was originally part of the Scrapy framework but was later stripped out of Scrapy, with the aim of make it more reusable and to provide a useful library of web functions without depending on Scrapy. . This is the Python 3 version of the package. Package: python3-werkzeug Source: python-werkzeug Version: 0.10.4+dfsg1-1~nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 727 Depends: neurodebian-popularity-contest, python3:any (>= 3.3.2-2~), libjs-jquery Recommends: python3-simplejson | python3, python3-openssl, python3-pyinotify Suggests: ipython3, python3-pkg-resources, python3-lxml, python-werkzeug-doc Homepage: http://werkzeug.pocoo.org/ Priority: optional Section: python Filename: pool/main/p/python-werkzeug/python3-werkzeug_0.10.4+dfsg1-1~nd14.10+1_all.deb Size: 163334 SHA256: 90b60c4481b54aaf15cf2e23ac6ad710a68585f4178c3df47c74882a45c56475 SHA1: c70aec313960ef4b46c9c3acdc19cd745e41b4e9 MD5sum: 2e50ce31c6c9800adad3bc8a702120b5 Description: collection of utilities for WSGI applications The Web Server Gateway Interface (WSGI) is a standard interface between web server software and web applications written in Python. . Werkzeug is a lightweight library for interfacing with WSGI. It features request and response objects, an interactive debugging system and a powerful URI dispatcher. Combine with your choice of third party libraries and middleware to easily create a custom application framework. Package: spm8-common Source: spm8 Version: 8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 18499 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 9751046 SHA256: eae78a38851873640a4bb696fffe8a3e8f8b24dbf2ddbdd3a9c08a9dbd39f3e4 SHA1: 91f196a570299e8b954da31769f9ef364602a9bc MD5sum: dea09a5e81f573cd2c86b9b0771ae85c Description: analysis of brain imaging data sequences Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the platform-independent M-files. Package: spm8-data Source: spm8 Version: 8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 72987 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 45499850 SHA256: a0225114bd9819417819ee216d7c713d5934c57a6e52bb8088c043877a59b8d6 SHA1: 002c5cb008c639ec8724ed73b8abc98c2d54098c MD5sum: 999a027bec248bc3eee7b24df2e42d4d Description: data files for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provide the data files shipped with the SPM distribution, such as various stereotaxic brain space templates and EEG channel setups. Package: spm8-doc Source: spm8 Version: 8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 9242 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 8935238 SHA256: 56c8b6a01f77cbd3447425f2fc126cafa3c733220dd8a594ebb06d0c1eabc4ee SHA1: b5a73113ad3b5456512e69bc3a830ce08940c5ab MD5sum: b3e4f06fa68c94bcf2cdbc6f9acb71ec Description: manual for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the SPM manual in PDF format. Package: spykeviewer Version: 0.4.2-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1122 Depends: neurodebian-popularity-contest, python (>= 2.7), python (<< 2.8), python-guidata, python-guiqwt (>= 2.1.4), python-spyderlib, python-spykeutils (>= 0.4.0), python-neo (>= 0.2.1), python-matplotlib, python-scipy, python-nose, python-sphinx, python-tables Recommends: libjs-jquery, libjs-underscore, ipython-qtconsole (>= 0.12) Homepage: http://www.ni.tu-berlin.de/software/spykeviewer Priority: extra Section: python Filename: pool/main/s/spykeviewer/spykeviewer_0.4.2-1~nd14.04+1+nd14.10+1_all.deb Size: 537210 SHA256: e2d542438b23bf2cdc670a92a7fb8f96e95577b6aa575213c9f6e6b10aa33e70 SHA1: 48c034b2573817266f86dd119ab2aac2e39358b2 MD5sum: caed1b92f7d4660cd52d212d3c243f50 Description: graphical utility for analyzing electrophysiological data Spyke Viewer is a multi-platform GUI application for navigating, analyzing and visualizing electrophysiological datasets. Based on the Neo framework, it works with a wide variety of data formats. Spyke Viewer includes an integrated Python console and a plugin system for custom analyses and plots. Package: stabilitycalc Version: 0.1-1~nd11.04+1+nd11.10+1+nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 119 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy, python-nifti Recommends: python-dicom Homepage: https://github.com/bbfrederick/stabilitycalc Priority: extra Section: science Filename: pool/main/s/stabilitycalc/stabilitycalc_0.1-1~nd11.04+1+nd11.10+1+nd12.04+1+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 22780 SHA256: 473177f3831b682baa05fec66ef8839addc3894c874621f91a5907a175ebaaf5 SHA1: b0da338b4735e5bf32dea8de66236cdd78863981 MD5sum: 21ba26275b3253f53e8995b3140abcb2 Description: evaluate fMRI scanner stability Command-line tools to calculate numerous fMRI scanner stability metrics, based on the FBIRN quality assurance test protocal. Any 4D volumetric timeseries image in NIfTI format is support input. Output is a rich HTML report. Python-Version: 2.7 Package: testkraut Version: 0.0.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 359 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, libjs-underscore, libjs-jquery, python-argparse Recommends: strace, python-scipy, python-colorama, python-apt Homepage: https://github.com/neurodebian/testkraut Priority: extra Section: python Filename: pool/main/t/testkraut/testkraut_0.0.1-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1_all.deb Size: 86234 SHA256: 9be9fd35fa97ca4e8e0a23eb96de002be01583a8ce33f713fc6855ca6facc66e SHA1: 6366524142a259711f79c95daa36a610984ea2f1 MD5sum: 61c0c765138ee630e3a63f86b920735e Description: test and evaluate heterogeneous data processing pipelines This is a framework for software testing. That being said, testkraut tries to minimize the overlap with the scopes of unit testing, regression testing, and continuous integration testing. Instead, it aims to complement these kinds of testing, and is able to re-use them, or can be integrated with them. . In a nutshell testkraut helps to facilitate statistical analysis of test results. In particular, it focuses on two main scenarios: . * Comparing results of a single (test) implementation across different or changing computational environments (think: different operating systems, different hardware, or the same machine before an after a software upgrade). * Comparing results of different (test) implementations generating similar output from identical input (think: performance of various signal detection algorithms). . While such things can be done using other available tools as well, testkraut aims to provide a lightweight, yet comprehensive description of a test run. Such a description allows for decoupling test result generation and analysis – opening up the opportunity to “crowd-source” software testing efforts, and aggregate results beyond the scope of a single project, lab, company, or site. Python-Version: 2.7 Package: youtube-dl Version: 2021.12.17-1~nd110+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5937 Depends: neurodebian-popularity-contest, python3-pkg-resources, python3:any Recommends: aria2 | wget | curl, ca-certificates, ffmpeg, mpv | mplayer, python3-pyxattr, rtmpdump, python3-pycryptodome Suggests: libfribidi-bin | bidiv, phantomjs Homepage: https://ytdl-org.github.io/youtube-dl/ Priority: optional Section: web Filename: pool/main/y/youtube-dl/youtube-dl_2021.12.17-1~nd110+1_all.deb Size: 1128692 SHA256: 75859d2f34a475fc0f199cd6d2b73e18c29cda44406530964890dcb790008eca SHA1: 09f85f2abc32eb5e9c2ccd6bfd1354ea332b6489 MD5sum: 6d04814be91bd9f85a7d3793ff2a2fb3 Description: downloader of videos from YouTube and other sites youtube-dl is a small command-line program to download videos from YouTube.com and other sites that don't provide direct links to the videos served. . youtube-dl allows the user, among other things, to choose a specific video quality to download (if available) or let the program automatically determine the best (or worst) quality video to grab. It supports downloading entire playlists and all videos from a given user. . Currently supported sites (or features of sites) are: . 1tv, 20min, 220.ro, 23video, 24video, 3qsdn, 3sat, 4tube, 56.com, 5min, 6play, 7plus, 8tracks, 91porn, 9c9media, 9gag, 9now.com.au, abc.net.au, abc.net.au:iview, abcnews, abcnews:video, abcotvs, abcotvs:clips, AcademicEarth:Course, acast, acast:channel, ADN, AdobeConnect, adobetv, adobetv:channel, adobetv:embed, adobetv:show, adobetv:video, AdultSwim, aenetworks, aenetworks:collection, aenetworks:show, afreecatv, AirMozilla, AliExpressLive, AlJazeera, Allocine, AlphaPorno, Amara, AMCNetworks, AmericasTestKitchen, AmericasTestKitchenSeason, anderetijden, AnimeOnDemand, Anvato, aol.com, APA, Aparat, AppleConnect, AppleDaily, ApplePodcasts, appletrailers, appletrailers:section, archive.org, ArcPublishing, ARD, ARD:mediathek, ARDBetaMediathek, Arkena, arte.sky.it, ArteTV, ArteTVEmbed, ArteTVPlaylist, AsianCrush, AsianCrushPlaylist, AtresPlayer, ATTTechChannel, ATVAt, AudiMedia, AudioBoom, audiomack, audiomack:album, AWAAN, awaan:live, awaan:season, awaan:video, AZMedien, BaiduVideo, Bandcamp, Bandcamp:album, Bandcamp:weekly, bangumi.bilibili.com, bbc, bbc.co.uk, bbc.co.uk:article, bbc.co.uk:iplayer:playlist, bbc.co.uk:playlist, BBVTV, Beatport, Beeg, BehindKink, Bellator, BellMedia, Bet, bfi:player, bfmtv, bfmtv:article, bfmtv:live, BibelTV, Bigflix, Bild, BiliBili, BilibiliAudio, BilibiliAudioAlbum, BiliBiliPlayer, BioBioChileTV, Biography, BIQLE, BitChute, BitChuteChannel, BleacherReport, BleacherReportCMS, blinkx, Bloomberg, BokeCC, BongaCams, BostonGlobe, Box, Bpb, BR, BravoTV, Break, brightcove:legacy, brightcove:new, BRMediathek, bt:article, bt:vestlendingen, BusinessInsider, BuzzFeed, BYUtv, Camdemy, CamdemyFolder, CamModels, CamTube, CamWithHer, canalc2.tv, Canalplus, Canvas, CanvasEen, CarambaTV, CarambaTVPage, CartoonNetwork, cbc.ca, cbc.ca:olympics, cbc.ca:player, cbc.ca:watch, cbc.ca:watch:video, CBS, CBSInteractive, CBSLocal, CBSLocalArticle, cbsnews, cbsnews:embed, cbsnews:livevideo, CBSSports, CCMA, CCTV, CDA, CeskaTelevize, CeskaTelevizePorady, channel9, CharlieRose, Chaturbate, Chilloutzone, chirbit, chirbit:profile, cielotv.it, Cinchcast, Cinemax, CiscoLiveSearch, CiscoLiveSession, CJSW, cliphunter, Clippit, ClipRs, Clipsyndicate, CloserToTruth, CloudflareStream, Cloudy, Clubic, Clyp, cmt.com, CNBC, CNBCVideo, CNN, CNNArticle, CNNBlogs, ComedyCentral, ComedyCentralTV, CommonMistakes, CondeNast, CONtv, Corus, Coub, Cracked, Crackle, CrooksAndLiars, crunchyroll, crunchyroll:playlist, CSpan, CtsNews, CTV, CTVNews, cu.ntv.co.jp, Culturebox, CultureUnplugged, curiositystream, curiositystream:collection, CWTV, DailyMail, dailymotion, dailymotion:playlist, dailymotion:user, daum.net, daum.net:clip, daum.net:playlist, daum.net:user, DBTV, DctpTv, DeezerPlaylist, defense.gouv.fr, democracynow, DHM, Digg, DigitallySpeaking, Digiteka, Discovery, DiscoveryGo, DiscoveryGoPlaylist, DiscoveryNetworksDe, DiscoveryVR, Disney, dlive:stream, dlive:vod, Dotsub, DouyuShow, DouyuTV, DPlay, DRBonanza, Dropbox, DrTuber, drtv, drtv:live, DTube, Dumpert, dvtv, dw, dw:article, EaglePlatform, EbaumsWorld, EchoMsk, egghead:course, egghead:lesson, ehftv, eHow, EinsUndEinsTV, Einthusan, eitb.tv, EllenTube, EllenTubePlaylist, EllenTubeVideo, ElPais, Embedly, EMPFlix, Engadget, Eporner, EroProfile, Escapist, ESPN, ESPNArticle, EsriVideo, Europa, EWETV, ExpoTV, Expressen, ExtremeTube, EyedoTV, facebook, FacebookPluginsVideo, faz.net, fc2, fc2:embed, Fczenit, filmon, filmon:channel, Filmweb, FiveThirtyEight, FiveTV, Flickr, Folketinget, FootyRoom, Formula1, FOX, FOX9, FOX9News, Foxgay, foxnews, foxnews:article, FoxSports, france2.fr:generation-what, FranceCulture, FranceInter, FranceTV, FranceTVEmbed, francetvinfo.fr, FranceTVJeunesse, FranceTVSite, Freesound, freespeech.org, FreshLive, FrontendMasters, FrontendMastersCourse, FrontendMastersLesson, FujiTVFODPlus7, Funimation, Funk, Fusion, Fux, Gaia, GameInformer, GameSpot, GameStar, Gaskrank, Gazeta, GDCVault, generic, Gfycat, GiantBomb, Giga, GlattvisionTV, Glide, Globo, GloboArticle, Go, GodTube, Golem, google:podcasts, google:podcasts:feed, GoogleDrive, Goshgay, GPUTechConf, Groupon, hbo, HearThisAt, Heise, HellPorno, Helsinki, HentaiStigma, hetklokhuis, hgtv.com:show, HiDive, HistoricFilms, history:player, history:topic, hitbox, hitbox:live, HitRecord, hketv, HornBunny, HotNewHipHop, hotstar, hotstar:playlist, Howcast, HowStuffWorks, HRTi, HRTiPlaylist, Huajiao, HuffPost, Hungama, HungamaSong, Hypem, ign.com, IGNArticle, IGNVideo, IHeartRadio, iheartradio:podcast, imdb, imdb:list, Imgur, imgur:album, imgur:gallery, Ina, Inc, IndavideoEmbed, InfoQ, Instagram, instagram:tag, instagram:user, Internazionale, InternetVideoArchive, IPrima, iqiyi, Ir90Tv, ITTF, ITV, ITVBTCC, ivi, ivi:compilation, ivideon, Iwara, Izlesene, Jamendo, JamendoAlbum, JeuxVideo, Joj, Jove, JWPlatform, Kakao, Kaltura, Kankan, Karaoketv, KarriereVideos, Katsomo, KeezMovies, Ketnet, khanacademy, khanacademy:unit, KickStarter, KinjaEmbed, KinoPoisk, KonserthusetPlay, KrasView, Ku6, KUSI, kuwo:album, kuwo:category, kuwo:chart, kuwo:mv, kuwo:singer, kuwo:song, la7.it, laola1tv, laola1tv:embed, lbry, lbry:channel, LCI, Lcp, LcpPlay, Le, Lecture2Go, Lecturio, LecturioCourse, LecturioDeCourse, LEGO, Lemonde, Lenta, LePlaylist, LetvCloud, Libsyn, life, life:embed, limelight, limelight:channel, limelight:channel_list, LineTV, linkedin:learning, linkedin:learning:course, LinuxAcademy, LiTV, LiveJournal, LiveLeak, LiveLeakEmbed, livestream, livestream:original, livestream:shortener, LnkGo, loc, LocalNews8, LoveHomePorn, lrt.lt, lynda, lynda:course, m6, mailru, mailru:music, mailru:music:search, MallTV, mangomolo:live, mangomolo:video, ManyVids, Markiza, MarkizaPage, massengeschmack.tv, MatchTV, MDR, MedalTV, media.ccc.de, media.ccc.de:lists, Medialaan, Mediaset, Mediasite, MediasiteCatalog, MediasiteNamedCatalog, Medici, megaphone.fm, Meipai, MelonVOD, META, metacafe, Metacritic, mewatch, Mgoon, MGTV, MiaoPai, minds, minds:channel, minds:group, MinistryGrid, Minoto, miomio.tv, MiTele, mixcloud, mixcloud:playlist, mixcloud:user, MLB, Mms, Mnet, MNetTV, MoeVideo, Mofosex, MofosexEmbed, Mojvideo, Morningstar, Motherless, MotherlessGroup, Motorsport, MovieClips, MovieFap, Moviezine, MovingImage, MSN, mtg, mtv, mtv.de, mtv:video, mtvjapan, mtvservices:embedded, MTVUutisetArticle, MuenchenTV, mva, mva:course, Mwave, MwaveMeetGreet, MyChannels, MySpace, MySpace:album, MySpass, Myvi, MyVidster, MyviEmbed, MyVisionTV, n-tv.de, natgeo:video, NationalGeographicTV, Naver, NBA, nba:watch, nba:watch:collection, NBAChannel, NBAEmbed, NBAWatchEmbed, NBC, NBCNews, nbcolympics, nbcolympics:stream, NBCSports, NBCSportsStream, NBCSportsVPlayer, ndr, ndr:embed, ndr:embed:base, NDTV, NerdCubedFeed, netease:album, netease:djradio, netease:mv, netease:playlist, netease:program, netease:singer, netease:song, NetPlus, Netzkino, Newgrounds, NewgroundsPlaylist, Newstube, NextMedia, NextMediaActionNews, NextTV, Nexx, NexxEmbed, nfl.com (CURRENTLY BROKEN), nfl.com:article (CURRENTLY BROKEN), NhkVod, NhkVodProgram, nhl.com, nick.com, nick.de, nickelodeon:br, nickelodeonru, nicknight, niconico, NiconicoPlaylist, Nintendo, njoy, njoy:embed, NJPWWorld, NobelPrize, NonkTube, Noovo, Normalboots, NosVideo, Nova, NovaEmbed, nowness, nowness:playlist, nowness:series, Noz, npo, npo.nl:live, npo.nl:radio, npo.nl:radio:fragment, Npr, NRK, NRKPlaylist, NRKRadioPodkast, NRKSkole, NRKTV, NRKTVDirekte, NRKTVEpisode, NRKTVEpisodes, NRKTVSeason, NRKTVSeries, NRLTV, ntv.ru, Nuvid, NYTimes, NYTimesArticle, NYTimesCooking, NZZ, ocw.mit.edu, OdaTV, Odnoklassniki, OktoberfestTV, OnDemandKorea, onet.pl, onet.tv, onet.tv:channel, OnetMVP, OnionStudios, Ooyala, OoyalaExternal, OraTV, orf:burgenland, orf:fm4, orf:fm4:story, orf:iptv, orf:kaernten, orf:noe, orf:oberoesterreich, orf:oe1, orf:oe3, orf:salzburg, orf:steiermark, orf:tirol, orf:tvthek, orf:vorarlberg, orf:wien, OsnatelTV, OutsideTV, PacktPub, PacktPubCourse, pandora.tv, ParamountNetwork, parliamentlive.tv, Patreon, pbs, PearVideo, PeerTube, People, PerformGroup, periscope, periscope:user, PhilharmonieDeParis, phoenix.de, Photobucket, Picarto, PicartoVod, Piksel, Pinkbike, Pinterest, PinterestCollection, Pladform, Platzi, PlatziCourse, play.fm, player.sky.it, PlayPlusTV, PlaysTV, Playtvak, Playvid, Playwire, pluralsight, pluralsight:course, podomatic, Pokemon, PolskieRadio, PolskieRadioCategory, Popcorntimes, PopcornTV, PornCom, PornerBros, PornHd, PornHub, PornHubPagedVideoList, PornHubUser, PornHubUserVideosUpload, Pornotube, PornoVoisines, PornoXO, PornTube, PressTV, prosiebensat1, puhutv, puhutv:serie, Puls4, Pyvideo, qqmusic, qqmusic:album, qqmusic:playlist, qqmusic:singer, qqmusic:toplist, QuantumTV, Qub, Quickline, QuicklineLive, R7, R7Article, radio.de, radiobremen, radiocanada, radiocanada:audiovideo, radiofrance, RadioJavan, Rai, RaiPlay, RaiPlayLive, RaiPlayPlaylist, RayWenderlich, RayWenderlichCourse, RBMARadio, RDS, RedBull, RedBullEmbed, RedBullTV, RedBullTVRrnContent, Reddit, RedditR, RedTube, RegioTV, RENTV, RENTVArticle, Restudy, Reuters, ReverbNation, RICE, RMCDecouverte, RockstarGames, RoosterTeeth, RottenTomatoes, Roxwel, Rozhlas, RTBF, rte, rte:radio, rtl.nl, rtl2, rtl2:you, rtl2:you:series, Rtmp, RTP, RTS, rtve.es:alacarta, rtve.es:infantil, rtve.es:live, rtve.es:television, RTVNH, RTVS, RUHD, RumbleEmbed, rutube, rutube:channel, rutube:embed, rutube:movie, rutube:person, rutube:playlist, RUTV, Ruutu, Ruv, safari, safari:api, safari:course, SAKTV, SaltTV, Sapo, savefrom.net, SBS, schooltv, screen.yahoo:search, Screencast, ScreencastOMatic, ScrippsNetworks, scrippsnetworks:watch, SCTE, SCTECourse, Seeker, SenateISVP, SendtoNews, Servus, Sexu, SeznamZpravy, SeznamZpravyArticle, Shahid, ShahidShow, Shared, ShowRoomLive, Sina, sky.it, sky:news, sky:sports, sky:sports:news, skyacademy.it, SkylineWebcams, skynewsarabia:article, skynewsarabia:video, Slideshare, SlidesLive, Slutload, Snotr, Sohu, SonyLIV, soundcloud, soundcloud:playlist, soundcloud:search, soundcloud:set, soundcloud:trackstation, soundcloud:user, SoundcloudEmbed, soundgasm, soundgasm:profile, southpark.cc.com, southpark.cc.com:español, southpark.de, southpark.nl, southparkstudios.dk, SpankBang, SpankBangPlaylist, Spankwire, Spiegel, sport.francetvinfo.fr, Sport5, SportBox, SportDeutschland, spotify, spotify:show, Spreaker, SpreakerPage, SpreakerShow, SpreakerShowPage, SpringboardPlatform, Sprout, sr:mediathek, SRGSSR, SRGSSRPlay, stanfordoc, Steam, Stitcher, StitcherShow, Streamable, streamcloud.eu, StreamCZ, StreetVoice, StretchInternet, stv:player, SunPorno, sverigesradio:episode, sverigesradio:publication, SVT, SVTPage, SVTPlay, SVTSeries, SWRMediathek, Syfy, SztvHu, t-online.de, Tagesschau, tagesschau:player, Tass, TBS, TDSLifeway, Teachable, TeachableCourse, teachertube, teachertube:user:collection, TeachingChannel, Teamcoco, TeamTreeHouse, TechTalks, techtv.mit.edu, ted, Tele13, Tele5, TeleBruxelles, Telecinco, Telegraaf, TeleMB, TeleQuebec, TeleQuebecEmission, TeleQuebecLive, TeleQuebecSquat, TeleQuebecVideo, TeleTask, Telewebion, TennisTV, TenPlay, TestURL, TF1, TFO, TheIntercept, ThePlatform, ThePlatformFeed, TheScene, TheStar, TheSun, TheWeatherChannel, ThisAmericanLife, ThisAV, ThisOldHouse, TikTok, TikTokUser (CURRENTLY BROKEN), tinypic, TMZ, TMZArticle, TNAFlix, TNAFlixNetworkEmbed, toggle, ToonGoggles, tou.tv, Toypics, ToypicsUser, TrailerAddict (CURRENTLY BROKEN), Trilulilu, Trovo, TrovoVod, TruNews, TruTV, Tube8, TubiTv, Tumblr, tunein:clip, tunein:program, tunein:shortener, tunein:station, tunein:topic, TunePk, Turbo, tv.dfb.de, TV2, tv2.hu, TV2Article, TV2DK, TV2DKBornholmPlay, TV4, TV5MondePlus, tv5unis, tv5unis:video, tv8.it, TVA, TVANouvelles, TVANouvellesArticle, TVC, TVCArticle, TVer, tvigle, tvland.com, TVN24, TVNet, TVNoe, TVNow, TVNowAnnual, TVNowNew, TVNowSeason, TVNowShow, tvp, tvp:embed, tvp:series, TVPlayer, TVPlayHome, Tweakers, TwitCasting, twitch:clips, twitch:stream, twitch:vod, TwitchCollection, TwitchVideos, TwitchVideosClips, TwitchVideosCollections, twitter, twitter:amplify, twitter:broadcast, twitter:card, udemy, udemy:course, UDNEmbed, UFCArabia, UFCTV, UKTVPlay, umg:de, UnicodeBOM, Unistra, Unity, uol.com.br, uplynk, uplynk:preplay, Urort, URPlay, USANetwork, USAToday, ustream, ustream:channel, ustudio, ustudio:embed, Varzesh3, Vbox7, VeeHD, Veoh, Vesti, Vevo, VevoPlaylist, VGTV, vh1.com, vhx:embed, Viafree, vice, vice:article, vice:show, Vidbit, Viddler, Videa, video.google:search, video.sky.it, video.sky.it:live, VideoDetective, videofy.me, videomore, videomore:season, videomore:video, VideoPress, Vidio, VidLii, vidme, vidme:user, vidme:user:likes, vier, vier:videos, viewlift, viewlift:embed, Viidea, viki, viki:channel, vimeo, vimeo:album, vimeo:channel, vimeo:group, vimeo:likes, vimeo:ondemand, vimeo:review, vimeo:user, vimeo:watchlater, Vimple, Vine, vine:user, Viqeo, Viu, viu:ott, viu:playlist, Vivo, vk, vk:uservideos, vk:wallpost, vlive, vlive:channel, vlive:post, Vodlocker, VODPl, VODPlatform, VoiceRepublic, Voot, VoxMedia, VoxMediaVolume, vpro, Vrak, VRT, VrtNU, vrv, vrv:series, VShare, VTM, VTXTV, vube, VuClip, VVVVID, VVVVIDShow, VyboryMos, Vzaar, Wakanim, Walla, WalyTV, washingtonpost, washingtonpost:article, wat.tv, WatchBox, WatchIndianPorn, WDR, wdr:mobile, WDRElefant, WDRPage, Webcaster, WebcasterFeed, WebOfStories, WebOfStoriesPlaylist, Weibo, WeiboMobile, WeiqiTV, Wistia, WistiaPlaylist, wnl, WorldStarHipHop, WSJ, WSJArticle, WWE, XBef, XboxClips, XFileShare, XHamster, XHamsterEmbed, XHamsterUser, xiami:album, xiami:artist, xiami:collection, xiami:song, ximalaya, ximalaya:album, XMinus, XNXX, Xstream, XTube, XTubeUser, Xuite, XVideos, XXXYMovies, Yahoo, yahoo:gyao, yahoo:gyao:player, yahoo:japannews, YandexDisk, yandexmusic:album, yandexmusic:artist:albums, yandexmusic:artist:tracks, yandexmusic:playlist, yandexmusic:track, YandexVideo, YapFiles, YesJapan, yinyuetai:video, Ynet, YouJizz, youku, youku:show, YouNowChannel, YouNowLive, YouNowMoment, YouPorn, YourPorn, YourUpload, youtube, youtube:favorites, youtube:history, youtube:playlist, youtube:recommended, youtube:search, youtube:search:date, youtube:subscriptions, youtube:tab, youtube:truncated_id, youtube:truncated_url, youtube:watchlater, YoutubeYtBe, YoutubeYtUser, Zapiks, Zattoo, ZattooLive, ZDF, ZDFChannel, zingmp3, Zype