This package gets inspiration from the popular R ChainLadder package.

This package strives to be minimalistic in needing its own API. Think in pandas for data manipulation and scikit-learn for model construction. An actuary already versed in these tools will pick up this package with ease. Save your mental energy for actuarial work.

chainladder has an ever growing list of estimators that work seemlessly together:

Please visit the Documentation page for examples, how-tos, and source code documentation.

Tutorial notebooks are available for download here.

• Working with Triangles
• Selecting Development Patterns
• Extending Development Patterns with Tails
• Applying Deterministic Methods
• Applying Stochastic Methods
• Large Datasets

To install using pip: pip install chainladder

To instal using conda: conda install -c conda-forge chainladder

Alternatively for pre-release functionality, install directly from github: pip install git+https://github.com/casact/chainladder-python/

Note: This package requires Python>=3.5 to Python<3.9, numpy 1.12.0 and later, pandas 0.23.0 and later, scikit-learn 0.18.0 and later.

Feel free to reach out on Gitter.

Check out our contributing guidelines.