A selection of 4 curated time-series Python libraries and frameworks ordered by stars.
Checkout the interactive version that you can filter and sort: https://www.awesomepython.org/
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
https://facebook.github.io/prophet
https://github.com/facebook/prophet
51 stars per week over 270 weeks
13,961 stars, 4,004 forks, 418 watches
created 2016-11-16, last commit 2022-01-07, main language Python
forecasting, python, r
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
https://github.com/facebookresearch/Kats
72 stars per week over 47 weeks
3,439 stars, 320 forks, 62 watches
created 2021-02-25, last commit 2022-01-22, main language Python
Merlion: A Machine Learning Framework for Time Series Intelligence
https://github.com/salesforce/Merlion
92 stars per week over 25 weeks
2,358 stars, 187 forks, 40 watches
created 2021-07-28, last commit 2022-01-17, main language Python
anomaly-detection, automl, benchmarking, ensemble-learning, forecasting, machine-learning, time-series
AtsPy: Automated Time Series Models in Python (by @firmai)
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631
https://github.com/firmai/atspy
3.91 stars per week over 103 weeks
406 stars, 81 forks, 21 watches
created 2020-01-28, last commit 2021-12-18, main language Python
automated, finance, forecasting, forecasting-models, python, time-series, time-series-analysis
This file was automatically generated on 2022-01-23.
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Inspired by:
https://github.com/vinta/awesome-python
https://github.com/trananhkma/fucking-awesome-python