# {octicon}`home` Welcome

Hello and welcome!

The `chainladder-python` package was built to be able to handle all of your actuarial reserving needs in python. It consists of popular actuarial tools, such as **triangle data manipulation**, **link ratios calculation**, and **IBNR estimates** using both deterministic and stochastic models. We build this package so you no longer have to rely on outdated softwares and tools when performing actuarial pricing or reserving indications.

This package strives to be minimalistic in needing its own API. The syntax mimics popular packages such as [pandas](https://pandas.pydata.org/) for data manipulation and [scikit-learn](https://scikit-learn.org/) for model construction. An actuary that is already familiar with these tools will be able to pick up this package with ease. You will be able to save your mental energy for actual actuarial work.

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:::{grid-item-card} {octicon}`rocket;2.5em;sd-mr-1` Getting Started
:link: getting_started/index
:link-type: doc

Install chainladder and try the beginner tutorials.
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:::{grid-item-card} {octicon}`book;2.5em;sd-mr-1` User Guide
:link: user_guide/index
:link-type: doc

A more comprehensive guide on the capabilities of chainladder.
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:::{grid-item-card} {octicon}`graph;2.5em;sd-mr-1` Galllery
:link: gallery/index
:link-type: doc

Gallery of examples highlighting different use cases for chainladder.
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:::{grid-item-card} {octicon}`code-square;2.5em;sd-mr-1` API Reference
:link: library/api
:link-type: doc

The chainladder API Reference Manual provides a comprehensive reference for all methods.
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