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https://github.com/marcotcr/lime

Score: 27.314507598961644

Last synced: about 4 hours ago
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Repository metadata:

Lime: Explaining the predictions of any machine learning classifier

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 427
Total Committers: 60
Avg Commits per committer: 7.117
Development Distribution Score (DDS): 0.66

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Marco Tulio Ribeiro m****r@g****m 145
Marco Tulio Ribeiro m****r@d****m 64
بندر لڑکا D****6@g****m 26
aikramer2 a****2@g****m 23
elacx 6****x 21
Pajot, Florent f****t@c****m 16
Dev Gupta d****v@p****m 8
echo66 b****s@g****m 7
Nicole White n****1@g****m 7
Daniel Himmelstein d****n@g****m 7
James Myatt j****t@t****m 5
Nitin Madnani n****i@e****g 5
Sireesh Gururaja s****a@k****m 4
James Myatt m****j@t****k 4
Aaryan Verma a****a@g****m 4
Kevin Mader k****r@4****m 4
Marc Beillevaire m****e@g****m 4
N. Geisler 1****n 4
Sowmya V Kollipara s****p@i****m 4
kgullikson k****n@s****m 4
Taylor Miller t****r@0****l 3
mrkaiser k****m@g****m 3
Yuta Fukasawa y****8@g****m 3
Jesse Steinweg-Woods j****w@g****m 3
Denson d****n 3
Christoph Molnar c****r@g****m 3
Peng Hao P****o@a****m 3
Will McGinnis w****l@p****m 2
Bruno Guberfain do Amaral b****l@p****r 2
dreamgonfly d****y@g****m 2
and 30 more...

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 135
Total pull requests: 30
Average time to close issues: 2 months
Average time to close pull requests: almost 3 years
Total issue authors: 128
Total pull request authors: 23
Average comments per issue: 1.71
Average comments per pull request: 0.63
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 2
Past year pull requests: 3
Past year average time to close issues: N/A
Past year average time to close pull requests: 1 minute
Past year issue authors: 2
Past year pull request authors: 2
Past year average comments per issue: 0.5
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/marcotcr/lime

Top Issue Authors

  • Achinth04 (3)
  • Alex-Wenner-FHR (2)
  • rahuldatsme (2)
  • ShahrinNakkhatra-optimizely (2)
  • akshay-gupta123 (2)
  • JINHXu (2)
  • SSMK-wq (1)
  • HowardNTUST (1)
  • xiaobaitubaibaibai (1)
  • anna-alexandrova (1)
  • Rabia3 (1)
  • MTDzi (1)
  • chenz1hao (1)
  • keyram (1)
  • TheLastProgramer (1)

Top Pull Request Authors

  • rashidrao-pk (3)
  • gedeck (2)
  • eduardoafonso1089 (2)
  • AndreasKarasenko (2)
  • RanaivosonHerimanitra (2)
  • louisgthier (2)
  • JasonnnW3000 (1)
  • aymanKH9991 (1)
  • ByrdOfAFeather (1)
  • apoplexi24 (1)
  • jlopezpena (1)
  • ldingemans (1)
  • shinjiaaa (1)
  • UrjaPawar (1)
  • Nour-Aldein2 (1)

Top Issue Labels

Top Pull Request Labels

Package metadata

pypi.org: lime

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

  • Homepage: http://github.com/marcotcr/lime
  • Documentation: https://lime.readthedocs.io/
  • Licenses: BSD
  • Latest release: 0.2.0.1 (published over 6 years ago)
  • Last Synced: 2026-11-03T09:51:27.617Z (1 day ago)
  • Versions: 39
  • Dependent Packages: 64
  • Dependent Repositories: 1,037
  • Downloads: 375,288 Last month
  • Docker Downloads: 610,831
  • Rankings:
    • Stargazers count: 0.174%
    • Dependent packages count: 0.267%
    • Dependent repos count: 0.359%
    • Forks count: 0.422%
    • Average: 0.464%
    • Downloads: 0.617%
    • Docker downloads count: 0.944%
  • Maintainers (1)
conda-forge.org: lime

  • Homepage: https://github.com/marcotcr/lime
  • Licenses: BSD-2-Clause
  • Latest release: 0.1.1.18 (published about 4 years ago)
  • Last Synced: 2026-08-12T01:02:05.328Z (3 months ago)
  • Versions: 11
  • Dependent Packages: 2
  • Dependent Repositories: 6
  • Rankings:
    • Stargazers count: 2.79%
    • Forks count: 3.095%
    • Average: 9.817%
    • Dependent repos count: 13.821%
    • Dependent packages count: 19.561%
anaconda.org: lime

This project is about explaining what machine learning classifiers (or models) are doing. At the moment, it supports explaining individual predictions for text classifiers or classifiers that act on tables (numpy arrays of numerical or categorical data) or images, with a package called lime (short for local interpretable model-agnostic explanations).

  • Homepage: https://github.com/marcotcr/lime
  • Licenses: BSD-2-Clause
  • Latest release: 0.2.0.1 (published about 3 years ago)
  • Last Synced: 2026-08-12T01:01:34.020Z (3 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 6
  • Rankings:
    • Stargazers count: 7.468%
    • Forks count: 8.113%
    • Average: 24.554%
    • Dependent packages count: 41.026%
    • Dependent repos count: 41.61%
nixpkgs-unstable: python313Packages.lime

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

nixpkgs-unstable: python314Packages.lime

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

nixpkgs-24.05: python311Packages.lime

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

nixpkgs-24.11: python312Packages.lime

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

nixpkgs-24.11: python311Packages.lime

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

nixpkgs-23.11: python311Packages.lime

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

nixpkgs-23.11: python310Packages.lime

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

nixpkgs-24.05: python312Packages.lime

Local Interpretable Model-Agnostic Explanations for machine learning classifiers