Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.

A toolkit for time series machine learning and deep learning

A python library for user-friendly forecasting and anomaly detection on time series.

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

A Python library of algorithms for the baseline correction of experimental data.

Calendar heatmaps from Pandas time series data.

A small library for creating pretty heatmaps of daily data.

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …

Calculates various features from time series data. Python implementation of the R package tsfeatures.

Scalable and user friendly neural 🧠 forecasting algorithms.

Scalable machine 🤖 learning for time series forecasting.

Merlion: A Machine Learning Framework for Time Series Intelligence

Anomaly Detection and Correlation library

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

Bayesian Change-Point Detection and Time Series Decomposition

ruptures: change point detection in Python

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.