PyRank
holistic-ai

holisticai

This is an open-source tool to assess and improve the trustworthiness of AI systems.
PyPI GitHub
More links
Download Stats Documentation Issues
Monthly downloads
3.4K
Weekly downloads
838
GitHub stars
114

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
1.0.14
Requires Python
>=3.8
Licence
MIT
Last Release
1 year ago
First Release
September 21, 2022
Total Releases
27
Python Versions
3.8 3.9 3.10 3.11 3.12
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
40
Popularity
44
Adoption
35
Community
60
Provenance
0
How the maintenance status was determined
Last commit
531 days ago
Monthly downloads
3,389
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
3,389
Stars
114
Stars per 1k downloads
33.64
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
120
Month daily avg
113
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.
More insights and metrics
Python version support tiers
requires_python
>=3.8
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
• Legacy
Supports 3.10 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
592 days ago
Total releases
27
Releases/year
6.6
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
10
Monthly downloads
3,389
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
63
 
Issue Burden
105.3
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
31.2%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 19

Python Versions

3.11
42.1% 8
3.9
36.8% 7
3.12
21.1% 4

Top Countries

1. US US
37
2. TW TW
1

Weekly Downloads

GitHub Stars

Dependencies

5
29 optional dependencies
  • fastparquet[all]
    extra == "all"
  • fastparquet[datasets]
    extra == "datasets"
  • flax>=0.8.5[all]
    extra == "all"
  • flax>=0.8.5[bias]
    extra == "bias"
  • jax>=0.4.30[all]
    extra == "all"
  • jax>=0.4.30[bias]
    extra == "bias"
  • jax>=0.4.30[security]
    extra == "security"
  • jaxopt>=0.8.3[all]
    extra == "all"
  • jaxopt>=0.8.3[bias]
    extra == "bias"
  • jaxopt>=0.8.3[security]
    extra == "security"
  • lime>=0.2.0.1[explainability]
    extra == "explainability"
  • lime>=0.2.0.1[all]
    extra == "all"
  • matplotlib[datasets]
    extra == "datasets"
  • matplotlib[all]
    extra == "all"
  • networkx>=3.1[bias]
    extra == "bias"
  • networkx>=3.1[all]
    extra == "all"
  • networkx>=3.1[datasets]
    extra == "datasets"
  • optax>=0.2.3[all]
    extra == "all"
  • optax>=0.2.3[bias]
    extra == "bias"
  • pyarrow[datasets]
    extra == "datasets"
  • pyarrow[all]
    extra == "all"
  • pybind11>=2.12[all]
    extra == "all"
  • pybind11>=2.12[datasets]
    extra == "datasets"
  • pygad==3.3.1[bias]
    extra == "bias"
  • pygad==3.3.1[all]
    extra == "all"
  • seaborn[all]
    extra == "all"
  • seaborn[datasets]
    extra == "datasets"
  • shap>=0.42.1[all]
    extra == "all"
  • shap>=0.42.1[explainability]
    extra == "explainability"

Used By

1

Repository details

Forks
32
Issues
12
Last Commit
1 year ago
Contributors
10
Open PRs
11
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Sources and methodology