PyPI Stats
Khanz9664

trustlens

Open-source Python library for evaluating ML model reliability beyond accuracy — with calibration, failure, and fairness diagnostics for informed deployment decisions.
PyPI GitHub
Downloads
Day
16
Week
55
Month
995
Stars
10
Forks
12
Issues
17
Version
0.3.0

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
70
Popularity
25
Adoption
29
Community
50
How the maintenance status was determined
Last commit
2 days ago
Monthly downloads
995
• 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
995
Stars
10
Stars per 1k downloads
10.05
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
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
8
Month daily avg
33
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
>=3.9
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
• 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
0 days ago
Total releases
3
Releases/year
54.8
• 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
8
Monthly downloads
995
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
29
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
66.7%
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. CA CA
7
2. US US
6
3. DE DE
3

Dependencies

4
15 optional dependencies

Used By

0
Not used by any tracked packages

Package Information

License
MIT
First Release
April 16, 2026
Last Release
3 hr ago
Last Commit
2 days ago
Latest Version
0.3.0
Total Releases
3
Contributors
8
Open PRs
1
Archived
No
Python Versions
3 3.9 3.10 3.11 3.12
Keywords
machine learning model evaluation model reliability calibration model trust fairness bias detection
Topics
bias-detection calibration data-science explainable-ai machine-learning mlops model-evaluation model-monitoring python trustworthy-ai opensource python-package ai-safety evaluation-framework fairness fairness-ml model-reliability
Tracking Since
April 19, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links