Credibility Python Packages

actuarialpy

Core actuarial analysis tools for Python: experience analysis, per-exposure metrics, trend, completion, seasonality, credibility, exposure, and TVM.

insurance-credibility

Credibility models for UK non-life insurance pricing: Bühlmann-Straub, Bayesian experience rating, and hierarchical GLM credibility for personal and commercial lines.

insurance-credibility-transformer

Credibility Transformer — CLS token attention as Bühlmann-Straub credibility, ICL zero-shot pricing, base/deep/ICL variants

bayesian-pricing

Hierarchical Bayesian models for insurance pricing — PyMC 5, thin-data segments, credibility factors

actuarcredibility

Credibility models for actuarial pricing: Bühlmann, Bühlmann-Straub, Jewell, Hachemeister, and Bayesian extensions.

insurance-experience

Individual policy-level Bayesian posterior experience rating for insurance pricing

credibility

Bühlmann-Straub credibility models for non-life insurance pricing