Time Series Machine Learning
Libraries and frameworks for modeling timestamped data, covering forecasting, classification, clustering, regression, and anomaly/change-point detection.
44 projects
See methodology for ranking rules; order uses public GitHub metrics within this scenario.
| Rank | Project | Stars | Forks | Updated | License |
|---|---|---|---|---|---|
| 1 |
netdata
The fastest path to AI-powered full stack observability, even for lean teams. |
80.3K | 6.6K | 08/29/26 | GPL-3.0 |
| 2 |
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. |
9.1K | 1.3K | 08/29/26 | Apache-2.0 |
| 3 |
sktime
A unified framework for machine learning with time series |
10.0K | 2.3K | 08/29/26 | BSD-3-Clause |
| 4 |
darts
A python library for user-friendly forecasting and anomaly detection on time series. |
9.5K | 1.0K | 08/21/26 | Apache-2.0 |
| 5 |
featuretools
An open source python library for automated feature engineering |
7.7K | 915 | 07/27/26 | BSD-3-Clause |
| 6 |
tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai |
6.1K | 721 | 07/23/26 | Apache-2.0 |
| 7 |
gluonts
Probabilistic time series modeling in Python |
5.2K | 831 | 07/31/26 | Apache-2.0 |
| 8 |
pytorch-forecasting
Time series forecasting with PyTorch |
5.0K | 897 | 08/26/26 | MIT |
| 9 |
chronos-forecasting
Chronos: Pretrained Models for Time Series Forecasting |
5.8K | 701 | 08/14/26 | Apache-2.0 |
| 10 |
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models. |
4.9K | 387 | 08/28/26 | Apache-2.0 |
| 11 |
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms. |
4.3K | 500 | 08/24/26 | Apache-2.0 |
| 12 |
aeon
A toolkit for time series machine learning and deep learning |
1.4K | 322 | 08/29/26 | BSD-3-Clause |
| 13 |
nixtla
Production-ready time series foundation model for forecasting and anomaly detection, pre-trained on over 100 billion data points. |
4.0K | 333 | 08/28/26 | Other |
| 14 |
pybroker
Algorithmic Trading in Python with Machine Learning |
3.5K | 453 | 08/28/26 | Other |
| 15 |
tslearn
The machine learning toolkit for time series analysis in Python |
3.2K | 382 | 08/27/26 | BSD-2-Clause |
| 16 |
TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model. |
3.2K | 268 | 08/14/26 | Other |
| 17 |
pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021) |
3.0K | 403 | 05/30/26 | MIT |
| 18 |
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021. |
6.5K | 1.3K | 06/20/25 | Apache-2.0 |
| 19 |
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). |
2.3K | 302 | 08/13/26 | GPL-3.0 |
| 20 |
PyPOTS
A Python toolkit for reality-centric machine learning on partially-observed time series, offering 50+ SOTA models for imputation, classification, forecasting, and more. |
2.1K | 189 | 08/27/26 | BSD-3-Clause |