Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

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

A unified framework for machine learning with time series

Anomaly detection related books, papers, videos, and toolboxes

STUMPY is a powerful and scalable Python library for modern time series analysis

The machine learning toolkit for time series analysis in Python

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A Python package for time series classification

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

TODS: An Automated Time-series Outlier Detection System

Python AutoML for Trading Systems and Sports Betting

A toolkit for time series machine learning and deep learning

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works

InceptionTime: Finding AlexNet for Time Series Classification

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

AtsPy: Automated Time Series Models in Python (by @firmai)

Predict time-series with one line of code.