Kats

Kats is a toolkit to analyze time series data, offered by Facebook's Infrastructure Data Science team. It serves as a lightweight, easy-to-use, and generalizable framework designed to perform comprehensive time series analysis. This includes tasks such as understanding key statistics and characteristics, detecting regressions and anomalies, and forecasting future trends, which are essential components of Data Science and Engineering work in industry.

The framework aims to be a one-stop shop for time series analysis, encompassing a wide range of functionalities like detection, forecasting, feature extraction/embedding, and multivariate analysis. Kats is developed in Python and is readily available for download on PyPI, making it accessible for developers and data scientists.

Installation is straightforward via pip, with options for a full or minimal version depending on dependency requirements. Important links for Kats include its official homepage, PyPI package page, a Facebook Engineering Blog Post, its source code repository on GitHub, contributing guidelines, and a collection of tutorials to help users get started with the toolkit's capabilities.