🧰 Open Source Tools — Awesome Time Series

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

The Prometheus monitoring system and time series database.

Scalable datastore for metrics, events, and real-time analytics

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

A time-series database for high-performance real-time analytics packaged as a Postgres extension

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.

QuestDB is a high performance, open-source, time-series database

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Nightingale is to monitoring and alerting what Grafana is to visualization.

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

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Statsmodels: statistical modeling and econometrics in Python

Fast and Accurate ML in 3 Lines of Code

📈 A small, fast chart for time series, lines, areas, ohlc & bars

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.

A unified framework for machine learning with time series

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

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

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

Automatic extraction of relevant features from time series:

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

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

An open-source and enterprise-level monitoring system.

Postgres with GPUs for ML/AI apps.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

All-in-One Development Tool based on PaddlePaddle

A highly scalable real-time graphing system

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

The Time Series Visualization Tool that you deserve.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Chronos: Pretrained Models for Time Series Forecasting

🚀 Efficient implementations for emerging model architectures

Probabilistic time series modeling in Python

Time series forecasting with PyTorch

Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times better than GPT-4. Built with Adaptive Graph-Guided Retrieval and Persistent Debug Memory. Model available Q1 2026 via Kodezi OS.

Lightning ⚡️ fast forecasting with statistical and econometric models.

Merlion: A Machine Learning Framework for Time Series Intelligence

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

Fault tolerant job scheduler for Mesos which handles dependencies and ISO8601 based schedules

NeuralProphet: A simple forecasting package

Collection of useful data science topics along with articles, videos, and code

Scalable and user friendly neural :brain: forecasting algorithms.

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

ACID Document Database

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

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Synthetic data generation for tabular data

An environmental monitoring and regulation system

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.

List of tools & datasets for anomaly detection on time-series data.

The machine learning toolkit for time series analysis in Python

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

A curated list of awesome anomaly detection resources

List of papers, code and experiments using deep learning for time series forecasting

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

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

High-performance time-series aggregation for PostgreSQL