Kats: kits to analyze time series

Kats is a toolkit to analyze time series data, a light-weight, easy-to-use, and generalizable framework to perform time series analysis. Time series analysis is an essential component of Data Science and Engineering work at industry, from understanding the key statistics and characteristics, detecting regressions and anomalies, to forecasting future trends. Kats aims to provide the one-stop shop for time series analysis, including detection, forecasting, feature extraction/embedding, multivariate analysis, etc. Kats is released by Facebook's Infrastructure Strategy team. It is available for download on PyPI.

• Homepage: https://facebook.github.io/kats/web/
• HTML documentation: TODO
• Issue tracker: TODO
• Source code repository: https://github.com/facebookresearch/kats
• Contributing: TODO
• Kats Python package: TODO
• Release blogpost: TODO

Kats is on PyPI, so you can use pip to install it.

pip install kats

• Initial release

Kats is licensed under the MIT license.