giskard-tests

Giskard wraps any prediction function and DataFrame, then runs a scan() that surfaces "performance biases, unrobustness, data leakage, stochasticity, underconfidence, ethical issues" per the [Giskard tabular quickstart].

When to use

• Pre-deployment model audit (fairness + robustness scan).
• Pre-merge gate after a feature-engineering or hyperparameter change - re-run scan, fail PR if new vulnerabilities surface.
• Generating an initial test suite for a model with no existing tests.

Step 1 - Install

pip install giskard --upgrade