PyRank
LudgerHentschel

edef

Feature attribution for realized model fit (rather than predictions). EDEF provides exact additive decomposition of predictive performance for linear, PyTorch, JAX, and tree-based models, including standard errors, grouped inference, and exact TreeIG decompositions for tree-based models.
PyPI GitHub
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Downloads
Day
41
Week
138
Month
1.2K
Stars
0
Forks
0
Issues
0
Version
0.1.5

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
70
Popularity
0
Adoption
30
Community
0
Provenance
0
How the maintenance status was determined
Last commit
30 days ago
Monthly downloads
1,225
• 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
1,225
Stars
0
Stars per 1k downloads
0.00
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
No star data — can't compute stars-to-downloads ratio.
How download momentum is calculated
Week daily avg
20
Month daily avg
41
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
>=3.10
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
BSD-3-Clause
• 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
30 days ago
Total releases
5
Releases/year
41.5
• 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
1
Monthly downloads
1,225
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
5
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
-
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

No OS data available

Python Versions

No Python version data available

Top Countries

1. SG SG
4
2. NL NL
2

Dependencies

1
28 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
BSD-3-Clause
First Release
May 23, 2026
Last Release
1 month ago
Last Commit
1 month ago
Latest Version
0.1.5
Total Releases
5
Contributors
1
Open PRs
0
Archived
No
Author
Ludger Hentschel
Python Versions
3 3.10 3.11 3.12 3.13
Wheels
py3
Keywords
feature attribution feature importance model fit machine learning explainability integrated gradients SHAP SAGE
Tracking Since
May 23, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links