Statsmodels: statistical modeling and econometrics in Python
Chronos: Pretrained Models for Time Series Forecasting
Probabilistic time series modeling in Python
Time series forecasting with PyTorch
NeuralProphet: A simple forecasting package
The machine learning toolkit for time series analysis in Python
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
Official code for TimeCraft: A Time Series Generation Framework for Real-World Applications
Time Series data structure for Redis
Time series easier, faster, more fun. Pytimetk.
InfluxDB 2.0 python client
Probabilistic Hierarchical forecasting π with statistical and econometric methods.
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.
A friendly package for Kepler & TESS time series analysis in Python.
A map of modern time-series forecasting architectures, each with a short README and runnable code.
Yug: a foundation model for zero-shot probabilistic time-series forecasting