Current collected state Current
Observed since 20 Oct, 20:26 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
The bias and fairness audit toolkit.
Aequitas is an open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive tools.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.43.5 | 24 Mar 2023 | 6 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 20:26 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:1778758c7f8a70e100166eef1396900764622524d9ac8e8c7353ad1fff6923c5