time-series GitHub repositories

yzhao062/pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

unit8co/darts

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

★ 9.6K+2 todayPython

machine-learning data-science

polakowo/vectorbt

The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

★ 9.6K+12 todayPython

amazon-science/chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

★ 6.2K+4 todayPython

llm machine-learning

awslabs/gluonts

Probabilistic time series modeling in Python

★ 5.3K+1 todayPython

Nixtla/statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

ourownstory/neural_prophet

NeuralProphet: A simple forecasting package

Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

TimeGPT-2.1: 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 capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

★ 4.0K+0 todayJupyter Notebook

llm agent

sdv-dev/SDV

Synthetic data generation for tabular data

★ 3.6K+2 todayPython

tslearn-team/tslearn

The machine learning toolkit for time series analysis in Python

★ 3.2K+0 todayPython

jolibrain/deepdetect

Deep Learning Server and CLI for Torch and TensorRT

★ 2.6K+0 todayC++

WenjieDu/PyPOTS

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

★ 2.1K+0 todayPython

johannfaouzi/pyts

A Python package for time series classification

★ 1.9K+0 todayPython

alkaline-ml/pmdarima

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

★ 1.7K+0 todayPython

skforecast/skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

aeon-toolkit/aeon

A toolkit for time series machine learning and deep learning

★ 1.5K+0 todayPython

ai machine-learning

winedarksea/AutoTS

Automated Time Series Forecasting

★ 1.4K+0 todayPython

sintel-dev/Orion

Unsupervised time series anomaly detection library

★ 1.4K+0 todayPython

Nixtla/mlforecast

Scalable machine 🤖 learning for time series forecasting.

★ 1.3K+3 todayPython

LongxingTan/Time-series-prediction

tfts: Time Series Deep Learning Models in TensorFlow

★ 893+0 todayPython

DaoSword/Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

★ 808+1 todayPython

pyRiemann/pyRiemann

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

★ 784+0 todayPython

JordiCorbilla/stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

★ 689+0 todayPython

machine-learning agentic-ai

TimeCopilot/timecopilot

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

★ 627+0 todayPython

machine-learning awesome-list

jonathanwvd/awesome-industrial-datasets

A curated collection of public industrial datasets.

★ 614+1 todayPython