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JOSS: https://github.com/fabian-sp/GGLasso

graphical-lasso graphical-models latent-variable-models network-inference optimization

Score: 14.190155568732552

Last synced: about 14 hours ago
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Repository metadata:

A Python package for General Graphical Lasso computation


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 9 days ago

Total Commits: 778
Total Committers: 5
Avg Commits per committer: 155.6
Development Distribution Score (DDS): 0.326

Commits in past year: 9
Committers in past year: 1
Avg Commits per committer in past year: 9.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
fabian-sp f****p@h****e 524
Vlasovets o****t@m****u 161
fabian-scalable f****p@s****l 55
Christian L. Müller m****n 36
Daniel S. Katz d****z@i****g 2

Issue and Pull Request metadata

Last synced: 3 days ago

Total issues: 8
Total pull requests: 41
Average time to close issues: 25 days
Average time to close pull requests: 20 days
Total issue authors: 7
Total pull request authors: 3
Average comments per issue: 3.5
Average comments per pull request: 0.34
Merged pull request: 36
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 2
Past year average time to close issues: 4 days
Past year average time to close pull requests: 18 days
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 2.0
Past year average comments per pull request: 1.5
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/fabian-sp/GGLasso

Top Issue Authors

  • papachristoumarios (2)
  • ikarmann (1)
  • lensory (1)
  • HyperSQ (1)
  • myxa (1)
  • Bpoole908 (1)
  • DManowitz (1)

Top Pull Request Authors

  • fabian-sp (30)
  • Vlasovets (10)
  • danielskatz (1)

Top Issue Labels

  • enhancement (1)

Top Pull Request Labels

  • under construction (1)
  • enhancement (1)

Package metadata

pypi.org: gglasso

Algorithms for Single and Multiple Graphical Lasso problems.

  • Homepage:
  • Documentation: https://gglasso.readthedocs.io/en/stable/
  • Licenses: MIT
  • Latest release: 0.3.0 (published about 2 months ago)
  • Last Synced: 2026-08-14T00:08:43.089Z (1 day ago)
  • Versions: 13
  • Dependent Packages: 2
  • Dependent Repositories: 2
  • Downloads: 1,214 Last month
  • Rankings:
    • Dependent packages count: 3.132%
    • Downloads: 7.421%
    • Average: 8.882%
    • Forks count: 9.844%
    • Dependent repos count: 11.585%
    • Stargazers count: 12.428%
  • Maintainers (1)
conda-forge.org: gglasso

This package contains algorithms for solving General Graphical Lasso (GGLasso) problems, including single, multiple, as well as latent Graphical Lasso problems.

  • Homepage: https://github.com/fabian-sp/GGLasso
  • Licenses: MIT
  • Latest release: 0.1.9 (published almost 4 years ago)
  • Last Synced: 2026-03-24T09:07:51.241Z (5 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 5,876 Total
  • Rankings:
    • Dependent repos count: 34.025%
    • Average: 45.147%
    • Stargazers count: 45.815%
    • Forks count: 49.573%
    • Dependent packages count: 51.175%

Dependencies

requirements.txt pypi
  • decorator ==4.4.2
  • matplotlib *
  • networkx *
  • numba >=0.46.0
  • numpy >=1.17.3
  • pandas *
  • regain *
  • scikit-learn >=0.24.1
  • scipy >=0.11.0
  • seaborn *
  • sphinx ==3.5.4
  • sphinx-gallery ==0.8.2
  • sphinx_rtd_theme ==0.5.2