PyPI Stats
interpretml

interpret-core

Fit interpretable models. Explain blackbox machine learning.
PyPI GitHub

Shared Repository

This package shares its GitHub repository (interpretml/interpret) with 2 other packages. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
36.7K
Week
208.6K
Month
957.2K
Stars
6.8K
Forks
783
Issues
105
Version
0.7.8

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
100
Popularity
82
Adoption
69
Community
65
How the maintenance status was determined
Last commit
2 days ago
Monthly downloads
957,204
• 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
957,204
Stars
6,842
Stars per 1k downloads
7.15
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
29,803
Month daily avg
31,907
Momentum
-6.6%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
Not specified
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
Package does not declare a minimum Python version.
License categories
License
Not specified
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
Package does not declare a license.
How the release cadence was determined
Last release
49 days ago
Total releases
51
Releases/year
7.7
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
50
Monthly downloads
957,204
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
59
 
Issue Burden
15.3
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
6.4%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 19.5K
Windows 391
macOS 316

Python Versions

3.10
64.7% 12.9K
3.12
19.1% 3.8K
3.11
8.7% 1.7K
3.8
5.7% 1.1K
3.13
1.8% 357

Top Countries

1. NL NL
12.2K
2. US US
4.2K
3. IE IE
2.6K
4. GB GB
405
5. TR TR
219
6. IN IN
139
7. SG SG
89
8. FR FR
74
9. DE DE
53
10. HK HK
51

Dependencies

4
27 optional dependencies

Used By

6

Package Information

License
Unknown
First Release
September 18, 2019
Last Release
1 month ago
Last Commit
2 days ago
Latest Version
0.7.8
Total Releases
51
Contributors
50
Open PRs
7
Archived
No
Author
The InterpretML Contributors
Python Versions
3 3.10 3.11 3.12 3.13 3.14
Wheels
py3
Topics
machine-learning interpretability gradient-boosting blackbox scikit-learn xai interpretml interpretable-machine-learning interpretable-ai transparency iml interpretable-ml explainable-ml explainability bias ai artificial-intelligence explainable-ai differential-privacy
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links