ReproZip

ReproZip: The Reproducibility Packer - Published in JOSS (2016)

https://github.com/vida-nyu/reprozip

Science Score: 100.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
    3 of 16 committers (18.8%) from academic institutions
  • Institutional organization owner
    Organization vida-nyu has institutional domain (vida.engineering.nyu.edu)
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

archiving computational-science docker hacktoberfest linux nyu ptrace python reproducibility reproducible-research reproducible-science reprounzip reprozip science scientific-computing vagrant

Keywords from Contributors

tagging document highlights notes qual qualitative research
Last synced: 4 months ago · JSON representation ·

Repository

ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

Basic Info
  • Host: GitHub
  • Owner: VIDA-NYU
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: 1.x
  • Homepage: https://www.reprozip.org/
  • Size: 19.8 MB
Statistics
  • Stars: 344
  • Watchers: 17
  • Forks: 36
  • Open Issues: 77
  • Releases: 37
Topics
archiving computational-science docker hacktoberfest linux nyu ptrace python reproducibility reproducible-research reproducible-science reprounzip reprozip science scientific-computing vagrant
Created over 11 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog Contributing License Citation

README.md

Build Status Coverage Status Documentation Status Matrix paper DOI

ReproZip

ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author's computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step).

Quickstart

We have an example repository with a variety of different software. Don't hesitate to check it out, and contribute your own example if use ReproZip for something new!

Packing

Packing experiments is only available for Linux distributions. In the environment where the experiment is originally executed, first install reprozip:

$ pip install reprozip

Then, run your experiment with reprozip. Suppose you execute your experiment by originally running the following command:

$ ./myexperiment -my --options inputs/somefile.csv other_file_here.bin

To run it with reprozip, you just need to use the prefix reprozip trace:

$ reprozip trace ./myexperiment -my --options inputs/somefile.csv other_file_here.bin

This command creates a .reprozip-trace directory, in which you'll find the configuration file, named config.yml. You can edit the command line and environment variables, and choose which files to pack.

If you are using Debian or Ubuntu, most of these files (library dependencies) are organized by package. You can add or remove files, or choose not to include a package by changing option packfiles from true to false. In this way, smaller packs can be created with reprozip (if space is an issue), and reprounzip can download these files from the package manager; however, note this is only available for Debian and Ubuntu for now, and also be aware that package versions might differ. Choosing which files to pack is also important to remove sensitive information and third-party software that is not open source and should not be distributed.

Once done editing the configuration file (or even if you did not change anything), run the following command to create a ReproZip package named my_experiment:

$ reprozip pack my_experiment.rpz

Voilà! Now your experiment has been packed, and you can send it to your collaborators, reviewers, and researchers around the world!

Note that you can open the help message for any reprozip command by using the flag -h.

Unpacking

Do you need to unpack an experiment in a Linux machine? Easy! First, install reprounzip:

$ pip install reprounzip

Then, if you want to unpack everything in a single directory named mydirectory and execute the experiment from there, use the prefix reprounzip directory:

$ reprounzip directory setup my_experiment.rpz mydirectory
$ reprounzip directory run mydirectory

In case you prefer to build a chroot environment under mychroot, use the prefix reprounzip chroot:

$ reprounzip chroot setup my_experiment.rpz mychroot
$ reprounzip chroot run mychroot

Note that the previous options do not interfere with the original configuration of the environment, so don't worry! If you are using Debian or Ubuntu, reprounzip also has an option to install all the library dependencies directly on the machine using package managers (rather than just copying the files from the .rpz package). Be aware that this will interfere in your environment and it may update your library packages, so use it at your own risk! For this option, just use the prefix reprounzip installpkgs:

$ reprounzip installpkgs my_experiment.rpz

What if you want to reproduce the experiment in Windows or Mac OS X? You can build a virtual machine with the experiment! Easy as well! First, install the plugin reprounzip-vagrant:

$ pip install reprounzip-vagrant

Note that (i) you must install reprounzip first, and (ii) the plugin requires having Vagrant installed. Then, use the prefix reprounzip vagrant to create and start a virtual machine under directory mytemplate:

$ reprounzip vagrant setup my_experiment.rpz mytemplate

To execute the experiment, simply run:

$ reprounzip vagrant run mytemplate

Alternatively, you may use Docker containers to reproduce the experiment, which also works under Linux, Mac OS X, and Windows! First, install the plugin reprounzip-docker:

$ pip install reprounzip-docker

Then, assuming that you want to create the container under directory mytemplate, simply use the prefix reprounzip docker:

$ reprounzip docker setup my_experiment.rpz mytemplate
$ reprounzip docker run mytemplate

Remember that you can open the help message and learn more about other available flags and options by using the flag -h for any reprounzip command.

Citing ReproZip

Please use the following when citing ReproZip (BibTeX):

ReproZip: Computational Reproducibility With Ease
F. Chirigati, R. Rampin, D. Shasha, and J. Freire.
In Proceedings of the 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 2085-2088, 2016

Contribute

Please subscribe to and contact the reprozip@nyu.edu mailing list for questions, suggestions and discussions about using reprozip.

Bugs and feature plannings are tracked in the GitHub issues. Feel free to add an issue!

To suggest changes to this source code, feel free to raise a GitHub pull request. Any contributions received are assumed to be covered by the BSD 3-Clause license. We might ask you to sign a Contributor License Agreement before accepting a larger contribution.

License

  • Copyright (C) 2014, New York University

Licensed under a BSD 3-Clause license. See the file LICENSE.txt for details.

Links and References

For more detailed information, please refer to our website, as well as to our documentation.

ReproZip is currently being developed at NYU. The team includes:

Owner

  • Name: VIDA-NYU
  • Login: VIDA-NYU
  • Kind: organization
  • Location: New York, NY

Visualization, Imaging, and Data Analysis Center at New York University

JOSS Publication

ReproZip: The Reproducibility Packer
Published
December 01, 2016
Volume 1, Issue 8, Page 107
Authors
Rémi Rampin ORCID
NYU Tandon School of Engineering
Fernando Chirigati ORCID
NYU Tandon School of Engineering
Dennis Shasha ORCID
Courant Institute of Mathematical Sciences
Juliana Freire ORCID
NYU Tandon School of Engineering
Vicky Steeves ORCID
NYU Division of Libraries & Center for Data Science
Editor
Abigail Cabunoc Mayes ORCID
Tags
reproducibility reproducible research provenance archive sharing

Citation (CITATION.cff)

cff-version: 1.2.0
message: If you use this software, please cite it as below.
authors:
  - family-names: Rampin
    given-names: Remi
    affiliation: New York University
    orcid: https://orcid.org/0000-0002-0524-2282
    website: https://remi.rampin.org/
  - family-names: Freire
    given-names: Juliana
    affiliation: New York University
    orcid: https://orcid.org/0000-0003-3915-7075
    website: https://vgc.poly.edu/~juliana/
  - family-names: Chirigati
    given-names: Fernando
    affiliation: New York University
    orcid: https://orcid.org/0000-0002-9566-5835
    website: http://fchirigati.com/
  - family-names: Shasha
    given-names: Dennis
    affiliation: New York University
    orcid: https://orcid.org/0000-0002-7036-3312
    website: http://cs.nyu.edu/shasha/
  - family-names: Rampin
    given-names: Vicky
    affiliation: New York University
    orcid: https://orcid.org/0000-0003-4298-168X
    website: https://vicky.rampin.org/
license: BSD-3-Clause
url: https://www.reprozip.org/
repository-code: https://github.com/VIDA-NYU/reprozip
title: ReproZip
abstract: |
  ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author's computational environment (packing step).
keywords: [python, linux, docker, reproducibility, provenance, reproducible-research, reproducible-science]
references:
  - type: proceedings
    doi: 10.1145/2882903.2899401
    conference:
      name: "SIGMOD '16"
      website: https://www.sigmod2016.org/
      city: San Francisco
      country: US
    authors:
      - family-names: Rampin
        given-names: Remi
        affiliation: New York University
        orcid: https://orcid.org/0000-0002-0524-2282
        website: https://remi.rampin.org/
      - family-names: Freire
        given-names: Juliana
        affiliation: New York University
        orcid: https://orcid.org/0000-0003-3915-7075
        website: https://vgc.poly.edu/~juliana/
      - family-names: Chirigati
        given-names: Fernando
        affiliation: New York University
        orcid: https://orcid.org/0000-0002-9566-5835
        website: http://fchirigati.com/
      - family-names: Shasha
        given-names: Dennis
        affiliation: New York University
        orcid: https://orcid.org/0000-0002-7036-3312
        website: http://cs.nyu.edu/shasha/
    date-published: 2016-06-26
    year: 2016
    month: 6
    title: "ReproZip: Computational Reproducibility With Ease"
    abstract: |
      We present ReproZip, the recommended packaging tool for the SIGMOD Reproducibility Review. ReproZip was designed to simplify the process of making an existing computational experiment reproducible across platforms, even when the experiment was put together without reproducibility in mind. The tool creates a self-contained package for an experiment by automatically tracking and identifying all its required dependencies. The researcher can share the package with others, who can then use ReproZip to unpack the experiment, reproduce the findings on their favorite operating system, as well as modify the original experiment for reuse in new research, all with little effort. The demo will consist of examples of non-trivial experiments, showing how these can be packed in a Linux machine and reproduced on different machines and operating systems. Demo visitors will also be able to pack and reproduce their own experiments.
  - type: proceedings
    doi: 10.21105/joss.00107
    journal: Journal of Open Source Software
    authors:
      - family-names: Rampin
        given-names: Remi
        affiliation: New York University
        orcid: https://orcid.org/0000-0002-0524-2282
        website: https://remi.rampin.org/
      - family-names: Freire
        given-names: Juliana
        affiliation: New York University
        orcid: https://orcid.org/0000-0003-3915-7075
        website: https://vgc.poly.edu/~juliana/
      - family-names: Chirigati
        given-names: Fernando
        affiliation: New York University
        orcid: https://orcid.org/0000-0002-9566-5835
        website: http://fchirigati.com/
      - family-names: Shasha
        given-names: Dennis
        affiliation: New York University
        orcid: https://orcid.org/0000-0002-7036-3312
        website: http://cs.nyu.edu/shasha/
      - family-names: Rampin
        given-names: Vicky
        affiliation: New York University
        orcid: https://orcid.org/0000-0003-4298-168X
        website: https://vicky.rampin.org/
    date-published: 2016-12-01
    year: 2016
    month: 12
    title: "ReproZip: The Reproducibility Packer"
preferred-citation:
  type: proceedings
  doi: 10.1145/2882903.2899401
  conference:
    name: "SIGMOD '16"
    website: https://www.sigmod2016.org/
    city: San Francisco
    country: US
  authors:
    - family-names: Rampin
      given-names: Remi
      affiliation: New York University
      orcid: https://orcid.org/0000-0002-0524-2282
      website: https://remi.rampin.org/
    - family-names: Freire
      given-names: Juliana
      affiliation: New York University
      orcid: https://orcid.org/0000-0003-3915-7075
      website: https://vgc.poly.edu/~juliana/
    - family-names: Chirigati
      given-names: Fernando
      affiliation: New York University
      orcid: https://orcid.org/0000-0002-9566-5835
      website: http://fchirigati.com/
    - family-names: Shasha
      given-names: Dennis
      affiliation: New York University
      orcid: https://orcid.org/0000-0002-7036-3312
      website: http://cs.nyu.edu/shasha/
  date-published: 2016-06-26
  year: 2016
  month: 6
  title: "ReproZip: Computational Reproducibility With Ease"
  abstract: |
    We present ReproZip, the recommended packaging tool for the SIGMOD Reproducibility Review. ReproZip was designed to simplify the process of making an existing computational experiment reproducible across platforms, even when the experiment was put together without reproducibility in mind. The tool creates a self-contained package for an experiment by automatically tracking and identifying all its required dependencies. The researcher can share the package with others, who can then use ReproZip to unpack the experiment, reproduce the findings on their favorite operating system, as well as modify the original experiment for reuse in new research, all with little effort. The demo will consist of examples of non-trivial experiments, showing how these can be packed in a Linux machine and reproduced on different machines and operating systems. Demo visitors will also be able to pack and reproduce their own experiments.
version: "1.1"
date-released: 2021-07-06
doi: 10.5281/zenodo.5081097

Papers & Mentions

Total mentions: 2

LittleBrain: A gradient-based tool for the topographical interpretation of cerebellar neuroimaging findings
Last synced: 3 months ago
Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
Last synced: 3 months ago

GitHub Events

Total
  • Watch event: 35
  • Delete event: 3
  • Issue comment event: 11
  • Push event: 11
  • Pull request review event: 2
  • Pull request review comment event: 2
  • Pull request event: 5
  • Fork event: 4
  • Create event: 2
Last Year
  • Watch event: 35
  • Delete event: 3
  • Issue comment event: 11
  • Push event: 11
  • Pull request review event: 2
  • Pull request review comment event: 2
  • Pull request event: 5
  • Fork event: 4
  • Create event: 2

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 2,181
  • Total Committers: 16
  • Avg Commits per committer: 136.313
  • Development Distribution Score (DDS): 0.078
Past Year
  • Commits: 8
  • Committers: 1
  • Avg Commits per committer: 8.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Remi Rampin r****n@g****m 2,010
Manfred Touron m@4****m 84
Fernando Chirigati f****i@n****u 69
Vicky Steeves v****s@g****m 4
Brian Hoffman b****n@g****m 2
Vicky Steeves v****s@n****u 2
Ilya Beda i****x@g****m 1
James Clarke j****7@d****g 1
Josua Krause j****e@g****m 1
Marius Gedminas m****s@g****s 1
Martin von Gagern M****n@g****t 1
Peder Landsverk p****k@g****m 1
Qiwen Wang q****0@i****u 1
Stian Soiland-Reyes s****n@a****g 1
William Yeh w****h@g****m 1
Yo Yehudi y****h@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 57
  • Total pull requests: 47
  • Average time to close issues: over 1 year
  • Average time to close pull requests: 11 months
  • Total issue authors: 13
  • Total pull request authors: 8
  • Average comments per issue: 1.93
  • Average comments per pull request: 1.15
  • Merged pull requests: 29
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 days
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 4.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • remram44 (39)
  • yarikoptic (3)
  • appukuttan-shailesh (2)
  • milech (2)
  • VickyRampin (2)
  • effigies (1)
  • sainyam (1)
  • jwscook (1)
  • stoianmihail (1)
  • sachiniyer (1)
  • nuest (1)
  • chaoyue729 (1)
  • bmcfee (1)
Pull Request Authors
  • remram44 (35)
  • quoideneuf (5)
  • VickyRampin (3)
  • yuzibo (2)
  • PhilippWendler (2)
  • Peder2911 (1)
  • xcorail (1)
  • yochannah (1)
Top Labels
Issue Labels
T-enhancement (24) A-pr-exists (10) T-bug (10) T-task (9) A-question (8) C-tracer (Python) (8) C-tracer (C) (7) good first issue (6) C-unpack-gui (5) hacktoberfest (5) C-unpackers/docker (4) C-unpacker (4) A-pending-review (3) C-doc (3) C-unpackers/vagrant (3) A-help wanted (3) C-website (2) C-unpackers/default (2) C-packer (2) O-distributed (1) R-invalid (1) R-duplicate (1) C-jupyter (1) T-housekeeping (1) R-wontfix (1)
Pull Request Labels
T-enhancement (21) A-pending-review (19) C-unpacker (7) T-housekeeping (7) T-bug (6) C-tracer (C) (4) C-unpackers/docker (4) C-unpackers/vagrant (4) T-task (4) C-unpack-gui (3) C-website (3) C-packer (2) R-duplicate (2) A-question (2) C-doc (2) C-tracer (Python) (2) C-graph (2) C-unpackers/default (1) R-invalid (1) C-d3-vis (1)

Packages

  • Total packages: 13
  • Total downloads:
    • pypi 1,340 last-month
  • Total docker downloads: 15
  • Total dependent packages: 12
    (may contain duplicates)
  • Total dependent repositories: 34
    (may contain duplicates)
  • Total versions: 182
  • Total maintainers: 2
pypi.org: reprounzip

Linux tool enabling reproducible experiments (unpacker)

  • Versions: 32
  • Dependent Packages: 5
  • Dependent Repositories: 10
  • Downloads: 281 Last month
  • Docker Downloads: 15
Rankings
Dependent packages count: 1.6%
Docker downloads count: 3.3%
Stargazers count: 3.7%
Dependent repos count: 4.7%
Average: 6.5%
Forks count: 6.9%
Downloads: 18.8%
Maintainers (2)
Last synced: 4 months ago
pypi.org: reprozip

Linux tool enabling reproducible experiments (packer)

  • Versions: 35
  • Dependent Packages: 0
  • Dependent Repositories: 7
  • Downloads: 654 Last month
Rankings
Stargazers count: 3.7%
Dependent repos count: 5.6%
Forks count: 6.9%
Average: 7.3%
Dependent packages count: 7.3%
Downloads: 12.9%
Maintainers (2)
Last synced: 4 months ago
pypi.org: reprounzip-docker

Allows the ReproZip unpacker to create Docker containers

  • Versions: 25
  • Dependent Packages: 1
  • Dependent Repositories: 7
  • Downloads: 121 Last month
Rankings
Dependent packages count: 3.2%
Stargazers count: 3.7%
Dependent repos count: 5.6%
Forks count: 6.9%
Average: 8.7%
Downloads: 23.8%
Maintainers (2)
Last synced: 4 months ago
pypi.org: reprounzip-vagrant

Allows the ReproZip unpacker to create virtual machines

  • Versions: 25
  • Dependent Packages: 1
  • Dependent Repositories: 4
  • Downloads: 166 Last month
Rankings
Dependent packages count: 3.2%
Stargazers count: 3.7%
Forks count: 6.9%
Dependent repos count: 7.6%
Average: 9.7%
Downloads: 26.8%
Maintainers (2)
Last synced: 4 months ago
pypi.org: reprounzip-vistrails

Integrates the ReproZip unpacker with the VisTrails workflow management system

  • Versions: 12
  • Dependent Packages: 1
  • Dependent Repositories: 4
  • Downloads: 28 Last month
Rankings
Dependent packages count: 3.2%
Stargazers count: 3.7%
Forks count: 6.9%
Dependent repos count: 7.6%
Average: 11.0%
Downloads: 33.3%
Maintainers (2)
Last synced: 4 months ago
pypi.org: reprounzip-qt

Graphical user interface for reprounzip, using Qt

  • Versions: 12
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 69 Last month
Rankings
Stargazers count: 3.7%
Forks count: 6.9%
Dependent packages count: 7.3%
Average: 14.5%
Dependent repos count: 22.1%
Downloads: 32.4%
Maintainers (2)
Last synced: 4 months ago
pypi.org: reprozip-jupyter

Jupyter Notebook tracing/reproduction using ReproZip

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 21 Last month
Rankings
Stargazers count: 3.7%
Forks count: 6.9%
Dependent packages count: 7.3%
Average: 16.6%
Dependent repos count: 22.1%
Downloads: 43.2%
Maintainers (2)
Last synced: 4 months ago
conda-forge.org: reprounzip

ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author's computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step).

  • Versions: 5
  • Dependent Packages: 4
  • Dependent Repositories: 0
Rankings
Dependent packages count: 12.4%
Stargazers count: 21.3%
Average: 23.9%
Forks count: 27.9%
Dependent repos count: 34.0%
Last synced: 4 months ago
conda-forge.org: reprounzip-vagrant

ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author's computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step).

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Stargazers count: 21.3%
Forks count: 27.9%
Average: 33.6%
Dependent repos count: 34.0%
Dependent packages count: 51.2%
Last synced: 4 months ago
conda-forge.org: reprozip-jupyter

ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author's computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step).

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Stargazers count: 21.3%
Forks count: 27.9%
Average: 33.6%
Dependent repos count: 34.0%
Dependent packages count: 51.2%
Last synced: 4 months ago
conda-forge.org: reprounzip-docker

ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author's computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step).

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Stargazers count: 21.3%
Forks count: 27.9%
Average: 33.6%
Dependent repos count: 34.0%
Dependent packages count: 51.2%
Last synced: 4 months ago
conda-forge.org: reprounzip-qt

ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author's computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step).

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Stargazers count: 21.3%
Forks count: 27.9%
Average: 33.6%
Dependent repos count: 34.0%
Dependent packages count: 51.2%
Last synced: 4 months ago
conda-forge.org: reprozip

ReproZip is a tool aimed at simplifying the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science. It tracks operating system calls and creates a package that contains all the binaries, files and dependencies required to run a given command on the author's computational environment (packing step). A reviewer can then extract the experiment in his environment to reproduce the results (unpacking step).

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Stargazers count: 21.3%
Forks count: 27.9%
Average: 33.6%
Dependent repos count: 34.0%
Dependent packages count: 51.2%
Last synced: 4 months ago

Dependencies

reprounzip-docker/setup.py pypi
  • reprounzip >=1.1
  • rpaths >=0.8
reprounzip-qt/setup.py pypi
  • PyYAML *
  • qtpy *
  • reprounzip >=1.0
reprounzip-vagrant/setup.py pypi
  • paramiko *
  • reprounzip >=1.1
  • rpaths >=0.8
reprozip-jupyter/setup.py pypi
  • jupyter_client *
  • nbconvert *
  • nbformat *
  • notebook *
  • reprounzip >=1.0
  • rpaths *
.github/workflows/test.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite