https://github.com/scikit-multilearn/scikit-multilearn
classification clustering label-prediction machine-learning multi-label partitioning scikit scikit-learn scikit-multilearn
Score: 22.19737535706161
Last synced: about 9 hours ago
JSON representation
Repository metadata:
A scikit-learn based module for multi-label et. al. classification
- Host: GitHub
- URL: https://github.com/scikit-multilearn/scikit-multilearn
- Owner: scikit-multilearn
- License: bsd-2-clause
- Created: 2014-04-30T13:05:44.000Z (about 12 years ago)
- Default Branch: master
- Last Pushed: 2024-02-01T04:40:03.000Z (over 2 years ago)
- Last Synced: 2026-05-06T08:12:43.974Z (7 days ago)
- Topics: classification, clustering, label-prediction, machine-learning, multi-label, partitioning, scikit, scikit-learn, scikit-multilearn
- Language: Python
- Homepage: http://scikit.ml
- Size: 44.2 MB
- Stars: 954
- Watchers: 29
- Forks: 175
- Open Issues: 92
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES.md
- License: LICENSE
Owner metadata:
- Name: scikit-multilearn
- Login: scikit-multilearn
- Email:
- Kind: organization
- Description: A multi-label classification library for Python.
- Website: http://scikit.ml, http://scikit.ml,
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/7449770?v=4
- Repositories: 3
- Last Synced at: 2023-09-10T00:20:48.450Z
- Profile URL: https://github.com/scikit-multilearn
GitHub Events
Total
- Fork event: 4
- Issue comment event: 1
- Pull request event: 1
- Watch event: 31
- Total: 37
Last Year
- Issue comment event: 1
- Watch event: 16
- Total: 17
Committers metadata
Last synced: 3 days ago
Total Commits: 504
Total Committers: 27
Avg Commits per committer: 18.667
Development Distribution Score (DDS): 0.192
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 | Commits | |
|---|---|---|
| Piotr Szymanski | n****h@g****m | 407 |
| Christian Schulze | a****s@a****e | 44 |
| Christian Schulze | c****e@m****e | 5 |
| fbenites | i****r@g****e | 5 |
| Gregory Khvatsky | g****k@n****u | 5 |
| simon-m | g****3 | 4 |
| Wojciech Stachowski | w****i@g****m | 4 |
| ljvmiranda921 | l****a@o****u | 3 |
| chrysm | c****m@c****u | 3 |
| elzbietaZ | e****a@g****m | 3 |
| Sanchit Hira | s****t@j****u | 2 |
| queirozfcom | f****8@g****m | 2 |
| Jose Perez-Parras Toledano | i****j@u****s | 2 |
| Vinícius Resende | r****s | 2 |
| Alex Bujorianu | 7****u | 1 |
| Azmain Amin | m****n@g****m | 1 |
| Bharat123rox | b****7@g****m | 1 |
| Christopher O'Hagan | 3****4 | 1 |
| Felix Krause | K****x@g****m | 1 |
| Finlay Maguire | f****e@g****m | 1 |
| Lee | l****g@q****m | 1 |
| Remmy Ezeabasili | 3****7 | 1 |
| Robin van den Berg | 3****5 | 1 |
| Sri Manikanth Nunna | n****d@h****m | 1 |
| Stefanos Kypritidis | 4****k | 1 |
| lewis martin | l****4@g****m | 1 |
| yjx0003 | 3****3 | 1 |
Issue and Pull Request metadata
Last synced: 5 days ago
Total issues: 83
Total pull requests: 37
Average time to close issues: almost 2 years
Average time to close pull requests: about 1 year
Total issue authors: 65
Total pull request authors: 27
Average comments per issue: 1.94
Average comments per pull request: 0.78
Merged pull request: 20
Bot issues: 0
Bot pull requests: 1
Past year issues: 2
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 2
Past year pull request authors: 0
Past year average comments per issue: 0.5
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- niedakh (10)
- ChristianSch (5)
- erikhuck (2)
- edufonseca (2)
- CquptZA (2)
- queirozfcom (2)
- m-bittencourt (2)
- LSL-ding (1)
- alexgcsa (1)
- salvatorebottiglieri (1)
- chaitu0032-debug (1)
- poojasethi (1)
- yishairasowsky (1)
- Sandy4321 (1)
- xypan1232 (1)
Top Pull Request Authors
- ChristianSch (9)
- davegrays (2)
- x0wllaar (2)
- erikhuck (1)
- poojasethi (1)
- srimanikanth (1)
- c3-suvanshdutta (1)
- yjx0003 (1)
- dependabot[bot] (1)
- stef4k (1)
- KrauseFx (1)
- rvdb7345 (1)
- northern-64bit (1)
- ruanbuhr (1)
- Remmy27 (1)
Top Issue Labels
- help wanted (23)
- enhancement (18)
Top Pull Request Labels
- dependencies (1)
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 74,925 last-month
- conda: 78,823 total
- Total docker downloads: 633
- Total dependent packages: 6 (may contain duplicates)
- Total dependent repositories: 236 (may contain duplicates)
- Total versions: 8
- Total maintainers: 2
pypi.org: scikit-multilearn
Scikit-multilearn is a BSD-licensed library for multi-label classification that is built on top of the well-known scikit-learn ecosystem.
- Homepage: http://scikit.ml/
- Documentation: https://scikit-multilearn.readthedocs.io/
- Licenses: BSD
- Latest release: 0.2.0 (published over 7 years ago)
- Last Synced: 2026-05-11T14:30:47.135Z (2 days ago)
- Versions: 7
- Dependent Packages: 6
- Dependent Repositories: 236
- Downloads: 74,925 Last month
- Docker Downloads: 633
-
Rankings:
- Dependent repos count: 0.984%
- Downloads: 1.056%
- Docker downloads count: 1.647%
- Average: 1.74%
- Dependent packages count: 3.271%
- Maintainers (2)
conda-forge.org: scikit-multilearn
- Homepage: http://scikit.ml/index.html
- Licenses: BSD-2-Clause
- Latest release: 0.2.0 (published almost 4 years ago)
- Last Synced: 2026-03-22T05:13:15.286Z (about 2 months ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 78,823 Total
-
Rankings:
- Stargazers count: 12.987%
- Forks count: 13.147%
- Average: 27.834%
- Dependent repos count: 34.025%
- Dependent packages count: 51.175%
Dependencies
- future >=0.16.0
- liac-arff ==2.2.1
- networkx ==2.1
- numpy >=1.15.1
- python-louvain ==0.11
- requests >=2.18.4
- scikit_learn >=0.19.2
- scipy ==1.1.0
- python-igraph ==0.7.1.post6
- PyHamcrest ==1.9.0 test
- pytest ==3.3.1 test
- actions/cache v2 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- myci-actions/add-deb-repo 10 composite
- future >=0.16.0
- joblib *
- liac-arff >=2.2.1
- networkx >=2.1
- numpy >=1.15.1
- python-louvain >=0.11
- requests >=2.18.4
- scikit_learn >=0.19.2
- scipy >=1.1.0