Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.
Package Information
Latest Version
Requires Python
>=3.8
Licence
Apache License 2.0
Last Release
2 years ago
Author
aif360 developers
First Release
September 14, 2018
Total Releases
12
Python Versions
3.8
3.9
3.10
3.11
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
Package Risks
- No releases in 794 days despite active commits
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
55
Popularity
78
Adoption
52
Community
90
Provenance
0
How the maintenance status was determined
Last commit
126 days ago
Monthly downloads
17,943
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
17,943
Stars
2,877
Stars per 1k downloads
160.34
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
595
Month daily avg
598
Momentum
-0.4%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100More 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
Apache License 2.0
•
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
920 days ago
Total releases
12
Releases/year
1.5
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
67
Monthly downloads
17,943
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
77
Issue Burden
54.9
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
7.3%
contrib / forks
Stale Release
794d
PR Velocity
Active
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
250
Windows
43
macOS
5
Python Versions
3.11
35.7%
86
3.12
22.0%
53
3.13
19.9%
48
3.10
14.9%
36
3.7
7.5%
18
Top Countries
1.
US
248
US
2.
IN
19
IN
3.
SG
13
SG
4.
SE
10
SE
5.
IE
8
IE
6.
GB
7
GB
7.
DE
4
DE
8.
CA
2
CA
9.
FR
2
FR
10.
TW
2
TW
Weekly Downloads
GitHub Stars *
Dependencies
5
- matplotlib
- numpy >=1.16
- pandas >=0.24.0
- scikit-learn >=1.0
- scipy >=1.2.0
69 optional dependencies
-
adversarial-robustness-toolbox>=1.0.0[art]extra == "art"
-
adversarial-robustness-toolbox>=1.0.0[all]extra == "all"
-
adversarial-robustness-toolbox>=1.0.0[tests]extra == "tests"
-
blackboxauditing[tests]extra == "tests"
-
blackboxauditing[all]extra == "all"
-
blackboxauditing[disparateimpactremover]extra == "disparateimpactremover"
-
colorama[tests]extra == "tests"
-
colorama[all]extra == "all"
-
colorama[facts]extra == "facts"
-
cvxpy>=1.0[tests]extra == "tests"
-
cvxpy>=1.0[all]extra == "all"
-
cvxpy>=1.0[optimpreproc]extra == "optimpreproc"
-
fairlearn~=0.7[docs]extra == "docs"
-
fairlearn~=0.7[tests]extra == "tests"
-
fairlearn~=0.7[all]extra == "all"
-
fairlearn~=0.7[reductions]extra == "reductions"
-
igraph[all]extra == "all"
-
igraph[tests]extra == "tests"
-
igraph[notebooks]extra == "notebooks"
-
infairness>=0.2.2[infairness]extra == "infairness"
-
infairness>=0.2.2[all]extra == "all"
-
infairness>=0.2.2[tests]extra == "tests"
-
ipympl[tests]extra == "tests"
-
ipympl[all]extra == "all"
-
ipympl[notebooks]extra == "notebooks"
-
jinja2>3.1.0[all]extra == "all"
-
jinja2>3.1.0[docs]extra == "docs"
-
jupyter[all]extra == "all"
-
jupyter[notebooks]extra == "notebooks"
-
jupyter[tests]extra == "tests"
-
lightgbm[tests]extra == "tests"
-
lightgbm[notebooks]extra == "notebooks"
-
lightgbm[all]extra == "all"
-
lime[tests]extra == "tests"
-
lime[lime]extra == "lime"
-
lime[all]extra == "all"
-
mlxtend[all]extra == "all"
-
mlxtend[facts]extra == "facts"
-
mlxtend[tests]extra == "tests"
-
pot[all]extra == "all"
-
pot[tests]extra == "tests"
-
pot[optimaltransport]extra == "optimaltransport"
-
pytest>=3.5[tests]extra == "tests"
-
pytest>=3.5[all]extra == "all"
-
pytest-cov>=2.8.1[all]extra == "all"
-
pytest-cov>=2.8.1[tests]extra == "tests"
-
rpy2[fairadapt]extra == "fairadapt"
-
rpy2[all]extra == "all"
-
rpy2[tests]extra == "tests"
-
seaborn[all]extra == "all"
-
seaborn[notebooks]extra == "notebooks"
-
seaborn[tests]extra == "tests"
-
skorch[tests]extra == "tests"
-
skorch[all]extra == "all"
-
skorch[infairness]extra == "infairness"
-
sphinx[all]extra == "all"
-
sphinx[docs]extra == "docs"
-
sphinx-rtd-theme[all]extra == "all"
-
sphinx-rtd-theme[docs]extra == "docs"
-
tensorflow>=1.13.1[adversarialdebiasing]extra == "adversarialdebiasing"
-
tensorflow>=1.13.1[all]extra == "all"
-
tensorflow>=1.13.1[tests]extra == "tests"
-
torch[all]extra == "all"
-
torch[lfr]extra == "lfr"
-
torch[tests]extra == "tests"
-
tqdm[all]extra == "all"
-
tqdm[facts]extra == "facts"
-
tqdm[notebooks]extra == "notebooks"
-
tqdm[tests]extra == "tests"
Used By
16
- orange3-fairness 2.7K/mo
- pyfairnessai 1.3K/mo
- benchmarkdpfair 913/mo
- equiaudit 548/mo
- aequitas-core 381/mo
- fairml-datasets 353/mo
- veritas-ml 235/mo
- neuroflex 170/mo
- fairlyuncertain 167/mo
- bias-fairness 126/mo
Repository details
Data and sources
Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh