Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Autogluon | 7,109 | 14 | 3 days ago | 1,168 | December 10, 2023 | 299 | apache-2.0 | Python | ||
Fast and Accurate ML in 3 Lines of Code | ||||||||||
Statsforecast | 3,339 | 26 | 3 months ago | 27 | August 23, 2023 | 85 | apache-2.0 | Python | ||
Lightning ⚡️ fast forecasting with statistical and econometric models. | ||||||||||
Merlion | 3,179 | 3 | 7 months ago | 18 | June 28, 2022 | 14 | bsd-3-clause | Python | ||
Merlion: A Machine Learning Framework for Time Series Intelligence | ||||||||||
Forecasting | 2,540 | a year ago | mit | Python | ||||||
Time Series Forecasting Best Practices & Examples | ||||||||||
Autots | 935 | 3 months ago | 9 | November 28, 2023 | 17 | mit | Python | |||
Automated Time Series Forecasting | ||||||||||
Luminaire | 660 | a year ago | 20 | November 23, 2022 | 18 | apache-2.0 | Python | |||
Luminaire is a python package that provides ML driven solutions for monitoring time series data. | ||||||||||
Pyaf | 438 | 4 | 9 months ago | 15 | July 13, 2022 | 11 | bsd-3-clause | Python | ||
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules. | ||||||||||
Scalecast | 292 | 3 months ago | 186 | December 04, 2023 | 39 | mit | Python | |||
The practitioner's forecasting library | ||||||||||
Hyperts | 225 | 4 months ago | 3 | July 21, 2022 | 22 | apache-2.0 | Python | |||
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit. | ||||||||||
Deep_xf | 84 | a year ago | 5 | November 08, 2021 | Jupyter Notebook | |||||
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals. |