Open-source tabular model validation toolkit TanML needs feedback [D]

We’re developing TanML, an MIT-licensed automated model-validation toolkit for tabular machine-learning models.

TanML runs locally and provides an end-to-end workflow covering data profiling, preprocessing, feature-power ranking, model development, evaluation, drift analysis, stress testing, SHAP explainability, and audit-ready Word reports.

It is designed particularly for model-risk workflows in banking, credit risk, insurance, and other regulated environments.

We would appreciate critical feedback from model developers and validators:

• Which capabilities would be useful in your existing workflow?
• What important validation tests are missing?
• Are the generated reports suitable for independent review?
• What would prevent your team from adopting a toolkit like this?

GitHub: https://github.com/tdlabs-ai/tanml