Package Insights
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
100
Popularity
91
Adoption
80
Community
80
How the maintenance status was determined
Last commit
6 days ago
Monthly downloads
14,803,137
•
Active
Activity within 30 days
Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
14,803,137
Stars
25,432
Stars per 1k downloads
1.72
•
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
500,519
Month daily avg
493,438
Momentum
+1.4%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
>=3.11
Cutting Edge
Minimum supported version is 3.12 or newer
•
Modern
Minimum supported version is 3.9, 3.10, or 3.11
Legacy
Supports 3.8 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
MIT License
•
Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
79 days ago
Total releases
110
Releases/year
11.6
Rapid
Last release within 365 days and > 12 releases/year
•
Regular
Last release within 365 days
Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
276
Monthly downloads
14,803,137
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
•
Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
89
Issue Burden
22.6
per 1k stars
Discussions
14.7
per 1k stars
Fork Ratio
7.4%
contrib / forks
Stale Release
72d
PR Velocity
Active
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
343.6K
Windows
6.5K
macOS
2.2K
Python Versions
3.10
42.8%
142.7K
3.11
24.6%
82.1K
3.12
19.8%
65.9K
3.9
9.7%
32.2K
3.8
3.2%
10.8K
Top Countries
1.
US
221.2K
US
2.
IE
28.2K
IE
3.
DE
14.0K
DE
4.
IN
13.7K
IN
5.
NL
13.7K
NL
6.
GB
12.2K
GB
7.
JP
10.1K
JP
8.
CA
7.4K
CA
9.
AU
5.7K
AU
10.
KR
5.7K
KR
Dependencies
11
- cloudpickle
- llvmlite <0.46
- numba <0.63
- numpy >=2
- packaging >20.9
- pandas
- scikit-learn
- scipy
- slicer ==0.0.8
- tqdm >=4.27.0
- typing-extensions
50 optional dependencies
- catboost[test]
- causalml[test]
- datasets[test-notebooks]
- gpboost[test]
- ipython[docs]
- ipython[plots]
- ipywidgets[docs]
- jupyter[test-notebooks]
- keras[test-notebooks]
- lightgbm[test]
- lime[others]
- matplotlib[docs]
- matplotlib[plots]
- mypy[test-core]
- myst-parser[docs]
- nbconvert[test-notebooks]
- nbformat[test-notebooks]
- nbsphinx[docs]
- nbtest-gen[nbtest]
- nbtest-lab-extension[nbtest]
- nbtest-plugin[nbtest]
- ngboost[test]
- nlp[test-notebooks]
- numba[test]
- numpy[test]
- numpydoc[docs]
- opencv-python[test]
- protobuf[test]
- pyod[test]
- pyspark[test]
- pytest[test-core]
- pytest[test]
- pytest-cov[test-core]
- pytest-cov[test]
- pytest-mpl[test-core]
- pytest-mpl[test]
- requests[docs]
- scikit-learn[download-datasets]
- selenium[test]
- sentencepiece[test]
- sphinx[docs]
- sphinx-github-changelog[docs]
- sphinx-rtd-theme[docs]
- tensorflow[test]
- tf-keras[test]
- torch[test]
- torchvision[test]
- transformers[test]
- transformers[test-notebooks]
- xgboost[test]
Used By
551
- snowflake-ml-python
- econml
- darts
- geocif
- causalml
- powershap
- interpret-community
- explainerdashboard
- upgini
- lit-nlp
- accuinsight
- probatus
- pyxai
- spotforecast2
- evalml
- piml
- arfs
- mljar-supervised
- lingergrn
- effector
- gamma-facet
- shapash
- autoviml
- nkululeko
- synthcity
- bella-companion
- datupapi
- lecrapaud
- arthurai
- urika
- modeva
- ibm-metrics-plugin
- xper
- ml4t-diagnostic
- cnvoyant
- perceptilabs
- xdat
- iwork
- molpipeline
- bertnado
- metalearners
- dashai
- ltfmselector
- profiles-mlcorelib
- orange3-explain
- radiomicsmodellingsuite
- essentiax
- so-ml-tools
- ews-scoreboard
- eprllib
GitHub Topics
Tags from the package's GitHub repository describing what it does.
Package Information
License
MIT License
First Release
December 1, 2016
Last Release
2 months ago
Last Commit
6 days ago
Latest Version
0.51.0
Total Releases
110
Contributors
276
Open PRs
467
Archived
No
Python Versions
3.11
3.12
3.13
3.14
Wheels
cp310
cp311
cp312
cp313
cp314
cp35
cp36
cp37
cp38
cp39
Tracking Since
January 6, 2026
Data Updated
May 17, 2026
Data Freshness
Fresh