Package: btrbk Version: 0.32.6-2~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 409 Depends: neurodebian-popularity-contest, perl, btrfs-progs Recommends: openssh-client, mbuffer Suggests: openssl, python3 Homepage: https://digint.ch/btrbk/ Priority: optional Section: utils Filename: pool/main/b/btrbk/btrbk_0.32.6-2~nd130+1_all.deb Size: 116760 SHA256: 48a2c609fc15c654de8414979e8bc2ffc0262c009f93d00e4b56e69371bdc423 SHA1: 30b2993aefe335c6eaeaff1e58bd868348b02102 MD5sum: b1f8bb9893893d7de11b082c331e63be Description: backup tool for btrfs subvolumes Backup tool for btrfs subvolumes, using a configuration file, allows creation of backups from multiple sources to multiple destinations, with ssh and flexible retention policy support (hourly, daily, weekly, monthly). Package: con-duct Version: 0.11.0-1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 97 Depends: neurodebian-popularity-contest, procps, python3-pyout, python3-yaml, python3:any Recommends: python3-matplotlib Homepage: https://github.com/con/duct/ Priority: optional Section: python Filename: pool/main/c/con-duct/con-duct_0.11.0-1~nd130+1_all.deb Size: 24868 SHA256: b28efff45d9466338584a865af21ed68836a89f84984a9efb6f561feac489584 SHA1: 881d4155763235ead092828717bd06e7903a6756 MD5sum: aef408e3b90b20e8907d6e08b4ae3310 Description: lightweight wrapper to collect execution data for a command con-duct provides a duct command which is a lightweight wrapper that collects execution data for an arbitrary command. Execution data includes execution time, system information, and resource usage statistics of the command and all its child processes. It is intended to simplify the problem of recording the resources necessary to execute a command, particularly in an HPC environment. . Resource usage is determined by polling (at a sample-interval). During execution, duct produces a JSON lines file with one data point recorded for each report (at a report-interval). . This package installs the Python library and command-line tools. Package: datalad Version: 1.1.5-1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 231 Depends: neurodebian-popularity-contest, python3-datalad (= 1.1.5-1~nd130+1), python3-argcomplete (>= 1.12.3), python3:any Suggests: datalad-container Homepage: https://datalad.org Priority: optional Section: science Filename: pool/main/d/datalad/datalad_1.1.5-1~nd130+1_all.deb Size: 192920 SHA256: 0b367c625e1fa8fc4770395855a519bb1f55fcb53da8569ede2c61ffde5cbf05 SHA1: c13882633ea742c92fb2c19417f1e9848d064b9a MD5sum: 99957900417e7c34886d6d5d33d1882d 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) Package: datalad-container Version: 1.2.6-2~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 151 Depends: neurodebian-popularity-contest, datalad (>= 0.18~), python3-requests (>= 1.2), python3-chardet (>= 3.0.4), python3-datalad, python3:any Recommends: singularity-container Suggests: docker.io Homepage: http://datalad-container.rtfd.org Priority: optional Section: science Filename: pool/main/d/datalad-container/datalad-container_1.2.6-2~nd130+1_all.deb Size: 35620 SHA256: e276c368ac43781f160ce18218ab7e31181971d207ed4c462a234cedea55b0d1 SHA1: 8267a8df4f6ce752693849043e3262dddf7ff375 MD5sum: b70a36e788f00e1f4e5e6a6addd778c6 Description: DataLad extension for working with containerized environments This extension enhances DataLad (http://datalad.org) for working with computational containers. Package: neurodebian Version: 0.42.3~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 95 Depends: python3, 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_0.42.3~nd130+1_all.deb Size: 31348 SHA256: b8619055394bec3dfbac2c581792277a1d0af6416b300249352e28bd222d284d SHA1: c57351815a615689f1013928b54c864c7f37056e MD5sum: 8eab379d35cd1bee3cb6555c9c80a96d 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: 0.42.3~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: gnupg2 | gnupg, dirmngr 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_0.42.3~nd130+1_all.deb Size: 14852 SHA256: 6c0acf6130da4a1329bc812b28a1be29a2412f529f2a445f5347b40e3843df63 SHA1: a277728ddd8f470cd0fef4cd27c45ff89c89fc43 MD5sum: 93cc3b2b3323cddf053179469a5c1348 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: 0.42.3~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 196 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, adwaita-icon-theme | gnome-icon-theme, neurodebian-popularity-contest Recommends: reportbug-ng Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.42.3~nd130+1_all.deb Size: 118512 SHA256: f98935e5e5d8b8a6555fb123c4620fa4b763fa58ace306be151c066c35f2445d SHA1: e86c585e50afa2809f8f3039483e4c4abacbff59 MD5sum: 919ff3082c225c32ca688743cf513230 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: 0.42.3~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 111 Depends: devscripts, neurodebian-archive-keyring Recommends: python3, zerofree, moreutils, time, debian-archive-keyring, apt-utils, cowbuilder, neurodebian-freeze Suggests: virtualbox-ose, virtualbox-ose-fuse, singularity-container Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.42.3~nd130+1_all.deb Size: 30828 SHA256: 93b9f073754a247b70b8a728292bf154a94a7731647e51d75d015d4aa9977f88 SHA1: 44a78785515256a5d9d2f09814fc0d4afb43d5be MD5sum: 4c42414bc6ec95d9515ca4d28492d2e5 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-freeze Source: neurodebian Version: 0.42.3~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 36 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.42.3~nd130+1_all.deb Size: 11600 SHA256: 2455ff43ebf53524f9001b0ffd42ea9d836dbe9c45249a948f456a81f88386a2 SHA1: b315153fdbe0661797b4a163abae70d8820c0ca3 MD5sum: 001996b3e06c0b30ee41f23fbb78aa78 Description: nd_freeze tool to freeze APT sources to use snapshots 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 minimalistic package provides nd_freeze script to be used in rich or minimalistic environments (such as Docker or Singularity recipes) to freeze their APT sources. Intended to assist making such images reproducible. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.42.3~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 25 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.42.3~nd130+1_all.deb Size: 9180 SHA256: 83ea368109af4aee6c27419ea3c49ec6e1f0d9380753592637e2a9e86b8f715a SHA1: 0ebfa3b203ae4fec474bb2418baeaa52d469fb1e MD5sum: 83a47f429c996b995c2059d806bd6f22 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: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.19.14.dfsg1-1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 57985 Depends: neurodebian-popularity-contest Recommends: alsa-utils, apriltag, gamemode Suggests: gnuplot Homepage: http://psychtoolbox.org Priority: optional Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.19.14.dfsg1-1~nd130+1_all.deb Size: 26273440 SHA256: 3d1fb85d3b06c1fcf8a9d04818e7aa7abcdfdcac32b89e13a845f8a77a25bc9a SHA1: b1a26e16f736519833d4d67214ba9d14fb152182 MD5sum: e18c7695376a5e68fad9a7a1b74731a6 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-nipy-doc Source: nipy Version: 0.6.1-1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12070 Depends: neurodebian-popularity-contest, libjs-mathjax, libjs-sphinxdoc (>= 7.4) Recommends: python3-nipy Built-Using: sphinx (= 7.4.7-4) Multi-Arch: foreign Homepage: https://nipy.org/nipy/ Priority: optional Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.6.1-1~nd130+1_all.deb Size: 1975316 SHA256: 9a2ee8cd2a18d4f4b86d9333c5c115a0bf9a27d0a775dd93867ccc642eafcd5c SHA1: 13f95f6fcfd358d47ec5b62c3fa2d325f6f7a49d MD5sum: 7163f7452e336193333df87b7e257ae7 Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python3-datalad Source: datalad Version: 1.1.5-1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4351 Depends: neurodebian-popularity-contest, git-annex (>= 8.20200309~) | git-annex-standalone (>= 8.20200309~), patool, 7zip (>= 23.01+dfsg-4~) | p7zip-full, python3 (>= 3.7), python3-annexremote, python3-boto3, python3-distro, python3-fasteners (>= 0.14~), python3-gitlab, python3-humanize, python3 (>= 3.10) | python3-importlib-metadata (>= 3.6~), python3 (>= 3.9) | python3-importlib-resources (>= 3.0~), python3-iso8601, python3-keyring, python3-keyrings.alt | python3-keyring (<= 8), python3-msgpack, python3-platformdirs, python3-requests (>= 1.2), python3-secretstorage, python3-typing-extensions (>= 3.10.0.2~), python3-tqdm (>= 4.32.0), python3-chardet, python3-packaging, python3:any Recommends: python3-html5lib, python3-httpretty, python3-lzma, python3-pytest (>= 7.0), python3-pyperclip, python3-vcr Suggests: python3-duecredit, datalad-container, 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_1.1.5-1~nd130+1_all.deb Size: 891240 SHA256: b6460d7d6a0c0b4934af9e32ee63a9632e1b2e73b1860e1e3f58b81a81928419 SHA1: 4f6a4fa086d107dc1ddaccfcc3889081871cbad6 MD5sum: 00abe0a5f0f155df283a2b9ebe2abc3c 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) . 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-mesonpy Source: meson-python Version: 0.17.1-1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 948 Depends: neurodebian-popularity-contest, libjs-sphinxdoc (>= 7.4), meson (>= 1.2.3), ninja-build, python3 (>= 3.11), python3-packaging, python3-pyproject-metadata (>= 0.7.1), python3-tomli | python3-supported-min (>= 3.11), python3:any Recommends: patchelf Homepage: https://github.com/mesonbuild/meson-python Priority: optional Section: python Filename: pool/main/m/meson-python/python3-mesonpy_0.17.1-1~nd130+1_all.deb Size: 108372 SHA256: 66e71ffc64d983afcfdec2253aba8dad92bb249af8b7aab5fc561106a9db7d35 SHA1: 91b86f0aa860ef6388d57ad4f488cc4660d230ca MD5sum: a99df77750417f3625a5e139feb5f4c0 Description: Meson PEP 517 Python build backend This package enables Python package authors to use Meson as the build backend for their packages. . Meson is a build system designed to increase programmer productivity. It does this by providing a fast, simple and easy to use interface for modern software development tools and practices. Package: python3-nipy Source: nipy Version: 0.6.1-1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3095 Depends: neurodebian-popularity-contest, python3-numpy, python3-nibabel, python3-scipy, python3-sympy, python3-transforms3d, python3:any, python3-nipy-lib (>= 0.6.1-1~nd130+1) Recommends: python3-matplotlib, mayavi2 Suggests: python3-mvpa Homepage: https://nipy.org/nipy/ Priority: optional Section: python Filename: pool/main/n/nipy/python3-nipy_0.6.1-1~nd130+1_all.deb Size: 705116 SHA256: 8f8a6565a36c4febb2af01ea0d5d141e5e1cd2999ae0bc05eec2fe41b1bdc84c SHA1: b6410d2d408f4e518d619194a701ea91124c1251 MD5sum: 64a9272ddb097d03826ff307583d9987 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 Package: python3-pyout Source: python-pyout Version: 0.8.1-1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 215 Depends: neurodebian-popularity-contest, python3-blessed, python3-jsonschema (>= 3.0~), python3:any Homepage: https://github.com/pyout/pyout.git Priority: optional Section: python Filename: pool/main/p/python-pyout/python3-pyout_0.8.1-1~nd130+1_all.deb Size: 41592 SHA256: 904e4fff834067336143e08d22f68885cc5a5a01b5b9eada61204c8d54657ac1 SHA1: 967905025db15a311899309376e39ff5494c0b29 MD5sum: 75511d93a0cfac7f48da23452bb8c32e Description: Terminal styling for tabular data pyout is a Python package that defines an interface for writing structured records as a table in a terminal. It is being developed to replace custom code for displaying tabular data in in ReproMan and DataLad. . A primary goal of the interface is the separation of content from style and presentation. Current capabilities include . - automatic width adjustment and updating of previous values - styling based on a field value or specified interval - defining a transform function that maps a raw value to the displayed value - defining a summary function that generates a summary of a column (e.g., value totals) - support for delayed, asynchronous values that are added to the table as they come in