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: neurodebian Version: 0.42.1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 94 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_0.42.1~nd130+1_all.deb Size: 31108 SHA256: 2adb0c13c1b0fb1bf1d9c9ba2ee12e7d17ccd7efbb3faed5955d9c7510a186da SHA1: 41466402e0b8a7e9a86c8f96a6d3ec74c423b49f MD5sum: 216dc948dc66c507fcda47644da77d16 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: 0.42.1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 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_0.42.1~nd130+1_all.deb Size: 6736 SHA256: c59d809147036378b8c05c00ed25f5aa2f680e6c4a95bffa6ad0cdd180e9d2a2 SHA1: fa6dcdda0f3907333a68a60cff55cd5010b3bb47 MD5sum: 1a147b99f2fcc4e1e84fba3ea3b1abdd 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: 0.42.1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 195 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_0.42.1~nd130+1_all.deb Size: 118236 SHA256: 4a5e747a9d9aa067e190a456c71b9a3dc7d19b2eac4c05b27c37a99550362e50 SHA1: 0935c2486832690275a24685c955a7b4ff43bb6e MD5sum: ad0d6de67b1cbfebcb548b7c8e267d61 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: 0.42.1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 109 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_0.42.1~nd130+1_all.deb Size: 30460 SHA256: 35fd94ab6a76aa5ab34d71226a07a46f7135e9589d5e943828d81d6c86215df7 SHA1: 8a0549e068bfb8db7bd5d58578f921f67fcabe94 MD5sum: bc95704c289298a3b169ee1ed2adf1b8 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: 0.42.1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 34 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-freeze_0.42.1~nd130+1_all.deb Size: 11072 SHA256: 9fc506728106bf34827c1cf88f8006790ad0f53186e517bf83da6ec74363ea13 SHA1: 5c7dc4c2c5ca0514371343a6218b1334cb549fd0 MD5sum: 7f66654c00ee04c6ea913057dfb25731 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: 0.42.1~nd130+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.42.1~nd130+1_all.deb Size: 8928 SHA256: 603a4e6760ac2e2122ed5bfe695b6ed4af56720f01b5c67916a2c9bb5ed8d8f7 SHA1: 9e34c0fadac9077ba816c8e2564194a08fa7b32f MD5sum: 91d96e11b249fdcc29acd1355f74741a 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