Open-source time-series software
124 open-source libraries, tools and applications tagged time-series, ranked by how closely time-series is their primary purpose, then by adoption and maintenance health. Each entry links to a page with sources, use cases and when to choose or avoid it.
124 products, primary matches first, then adoption-weighted; health v2 shown.
| Product | Health v2 | Stars | Maturity |
|---|---|---|---|
| timescale/timescaledb TimescaleDB is an open-source PostgreSQL extension that adds native time‑series capabilities and high‑performance analytics. It provides au… | 98 | 23629 | active |
| influxdata/telegraf Telegraf is an open-source agent for collecting, processing, aggregating, and writing metrics, logs, and other telemetry data. It ships as … | 100 | 17865 | stable |
| VictoriaMetrics/VictoriaMetrics VictoriaMetrics is a fast, cost-effective, and scalable open-source time series database and monitoring solution written in Go. It supports… | 93 | 17800 | stable |
| questdb/questdb QuestDB is an open-source, high-performance time-series database with a column-oriented, SIMD-vectorized SQL engine written in zero-GC Java… | 97 | 17440 | stable |
| statsmodels/statsmodels Statsmodels is a Python library providing classes and functions for estimating statistical models, conducting hypothesis tests, and explori… | 85 | 11662 | stable |
| sktime sktime is a unified Python framework for machine learning with time series, offering 500+ models behind a single scikit-learn-compatible AP… | 98 | 10062 | stable |
| unit8co/darts Darts is a Python library for user-friendly time series forecasting and anomaly detection. It provides a unified scikit-learn-like fit/pred… | 92 | 9533 | active |
| blue-yonder/tsfresh tsfresh is a Python package that automatically extracts hundreds of features from time series using algorithms from statistics, signal proc… | 74 | 9470 | stable |
| polakowo/vectorbt VectorBT is a Python library for backtesting and analyzing trading strategies at scale, operating on pandas and NumPy objects accelerated b… | 88 | 9175 | active |
| Apache IoTDB Apache IoTDB is an open-source time-series database management system designed for industrial IoT, providing integrated collection, storage… | 94 | 6420 | stable |
| timeseriesAI/tsai tsai is an open-source deep learning library built on PyTorch and fastai for time series and sequential data tasks such as classification, … | 78 | 6124 | active |
| amazon-science/chronos-forecasting Chronos is a Python library providing pretrained foundation models for time series forecasting, including Chronos-2 which handles univariat… | 91 | 5999 | active |
| awslabs/gluonts GluonTS is a Python library for probabilistic time series modeling, focused on deep learning based forecasting models built on PyTorch. It … | 82 | 5246 | stable |
| bukosabino/ta A Python technical analysis library built on Pandas and NumPy that computes 43 financial indicators (volume, volatility, trend, momentum) f… | 61 | 5236 | stable |
| sktime/pytorch-forecasting A PyTorch-based Python library for time series forecasting with state-of-the-art deep learning architectures. It provides a high-level API … | 88 | 4999 | active |
| Nixtla/statsforecast StatsForecast is a Python library providing fast, scalable implementations of statistical and econometric univariate time series forecastin… | 87 | 4938 | stable |
| M3 M3 is an open-source distributed metrics platform comprising a purpose-built time series database (M3DB), a metrics aggregator, a Prometheu… | 87 | 4908 | stable |
| salesforce/Merlion Merlion is a Python library from Salesforce providing an end-to-end machine learning framework for time series intelligence, covering forec… | 10 | 4486 | active |
| NeuralProphet NeuralProphet is a Python library for interpretable time series forecasting built on PyTorch, combining neural networks with traditional ti… | 23 | 4301 | active |
| stumpy-dev/stumpy STUMPY is a Python library that efficiently computes the matrix profile for time series, enabling fast nearest-neighbor subsequence searche… | 84 | 4158 | stable |
| Nixtla/nixtla Nixtla's TimeGPT is a production-ready pre-trained foundation model for time series forecasting and anomaly detection, accessed via a Pytho… | 98 | 4019 | active |
| shankarpandala/lazypredict Lazy Predict is a Python library that trains dozens of machine learning models with minimal code to quickly identify which algorithms perfo… | 86 | 3352 | active |
| tslearn-team/tslearn tslearn is a Python machine learning library dedicated to time series analysis, built on numpy and compatible with scikit-learn. It provide… | 84 | 3183 | stable |
| thuml/Time-Series-Library TSLib is an open-source Python library providing a unified codebase of advanced deep learning models for general time series analysis. It s… | 63 | 12923 | maintenance |
| hello245m/free-stockdb A local-first quantitative data engine for China A-share daily/minute K-lines and ETF minute/tick data, combining incremental sync, cleanin… | 77 | 2912 | active |
| armink/FlashDB FlashDB is an ultra-lightweight embedded database written in C that provides two storage modes: a key-value database (KVDB) and a time-seri… | 76 | 2860 | stable |
| yuqinie98/PatchTST Official PyTorch implementation of PatchTST, an ICLR 2023 Transformer model for long-term time series forecasting based on patching and cha… | 32 | 2719 | stable |
| KimMeen/Time-LLM Time-LLM is the official PyTorch implementation of an ICLR 2024 paper that reprograms frozen large language models (Llama, GPT-2, BERT) for… | 44 | 2707 | active |
| thuml/Autoformer Autoformer is the official PyTorch implementation of the NeurIPS 2021 paper 'Autoformer: Decomposition Transformers with Auto-Correlation f… | 32 | 2485 | stable |
| thuml/iTransformer Official PyTorch implementation of iTransformer, an ICLR 2024 Spotlight paper that inverts the Transformer architecture for multivariate ti… | 39 | 2225 | stable |
| uber/orbit Orbit is a Python package for Bayesian time series forecasting and inference with an initialize-fit-predict interface. It uses probabilisti… | 77 | 2079 | stable |
| WenjieDu/PyPOTS PyPOTS is a Python toolbox for machine learning and data mining on partially-observed time series with missing values. It integrates 50+ st… | 89 | 2072 | active |
| philipperemy/keras-tcn A Keras/TensorFlow implementation of Temporal Convolutional Networks (TCN) with dilated causal convolutions, usable as a drop-in layer alte… | 58 | 2011 | active |
| kwuking/TimeMixer Official PyTorch implementation of TimeMixer, an ICLR 2024 model for time series forecasting using decomposable multiscale mixing. It has s… | 42 | 1991 | active |
| Open-Falcon Falcon+ (Open-Falcon) is an open-source, enterprise-level monitoring system written in Go, composed of multiple modules for metric collecti… | 10 | 7231 | maintenance |
| johannfaouzi/pyts pyts is a Python package for time series classification that provides preprocessing, transformation, and utility tools along with implement… | 88 | 1879 | stable |
| CausalImpact CausalImpact is an R package for estimating the causal effect of a designed intervention on a time series using Bayesian structural time-se… | 62 | 1862 | stable |
| linkedin/greykite Greykite is a Python time series forecasting library from LinkedIn built around its Silverkite algorithm, with support for trend, seasonali… | 23 | 1856 | active |
| GestaltCogTeam/BasicTS BasicTS is a Python benchmark library and toolkit for fair and scalable time series analysis, built on PyTorch. It supports forecasting, cl… | 61 | 1826 | active |
| cnosdb/cnosdb CnosDB is an open-source, cloud-native distributed time-series database written in Rust, supporting standard SQL, schemaless writes, and ou… | 47 | 1759 | active |
| decisionintelligence/TFB TFB is a comprehensive and fair benchmarking framework for time series forecasting methods, covering deep learning, machine learning, and s… | 70 | 1753 | active |
| Informer The official PyTorch implementation of Informer, an efficient Transformer architecture for long sequence time-series forecasting that won t… | 41 | 6528 | maintenance |
| facebookresearch/Kats Kats is a Python toolkit from Facebook's Infrastructure Data Science team for time series analysis, covering statistics, anomaly and change… | 66 | 6497 | maintenance |
| alkaline-ml/pmdarima pmdarima is a Python statistical library that brings R's auto.arima functionality to Python, wrapping statsmodels ARIMA/SARIMAX models behi… | 81 | 1738 | active |
| NuPIC NuPIC is Numenta's open-source machine intelligence platform implementing Hierarchical Temporal Memory (HTM), a computational theory of the… | 23 | 6352 | maintenance |
| time-series-foundation-models/lag-llama Lag-Llama is the first open-source foundation model for probabilistic time series forecasting, built on a transformer architecture. It prov… | 34 | 1600 | active |
| SalesforceAIResearch/uni2ts Uni2TS is a PyTorch library for unified pre-training, fine-tuning, inference, and evaluation of universal time series forecasting transform… | 54 | 1599 | active |
| bashtage/arch A Python library for financial econometrics providing ARCH/GARCH volatility models, unit root tests, cointegration analysis, bootstrapping,… | 69 | 1588 | stable |
| skforecast Skforecast is a Python library for time series forecasting that turns any scikit-learn compatible estimator (LightGBM, XGBoost, CatBoost, K… | 92 | 1536 | active |
| filodb/FiloDB FiloDB is a distributed, in-memory, Prometheus-compatible time series database written in Scala, designed for real-time ingestion of metric… | 67 | 1468 | active |
| aeon-toolkit/aeon aeon is a scikit-learn compatible Python toolkit for machine learning on time series, covering classification, regression, clustering, fore… | 93 | 1457 | active |
| timescale/tsbs TSBS is a Go-based benchmark suite for generating time series datasets and measuring read/write performance across many time series databas… | 66 | 1454 | active |
| winedarksea/AutoTS AutoTS is a Python library for automated time series forecasting, offering dozens of sklearn-style models (statistical, ML, deep learning) … | 89 | 1429 | active |
| pykalman/pykalman pykalman is a Python library implementing the Kalman Filter, Kalman Smoother, Unscented Kalman Filter, and EM algorithm for state estimatio… | 69 | 1334 | active |
| jacksontj/promxy Promxy is an aggregating proxy written in Go that makes multiple Prometheus shards appear as a single API endpoint. It merges duplicate tim… | 93 | 1327 | active |
| cvxgrp/cvxportfolio Cvxportfolio is an object-oriented Python library for portfolio optimization and back-testing, implementing the convex-optimization trading… | 55 | 1300 | active |
| Nixtla/mlforecast mlforecast is a Python framework for time series forecasting using any machine learning model with fit/predict methods, providing efficient… | 94 | 1282 | active |
| nakabonne/tstorage tstorage is a lightweight embedded time-series database storage engine written in Go, supporting both in-memory and on-disk persistence. It… | 52 | 1254 | stable |
| wannesm/dtaidistance A Python library for computing time series distances, most notably Dynamic Time Warping (DTW), with a fast C implementation exposed via Cyt… | 84 | 1248 | stable |
| Razeeman/Android-SimpleTimeTracker A simple, open-source Android app for tracking how much time is spent on various activities. It supports Wear OS, home-screen widgets, stat… | 93 | 1216 | active |
| marsupialtail/quokka Quokka is a lightweight distributed dataflow/query engine written in Python, built on Ray, DuckDB, Polars, and Arrow, designed for stateful… | 23 | 1193 | active |
| functime-org/functime functime is a Python library for production-ready global forecasting and time-series feature extraction on large panel datasets, built on l… | 65 | 1188 | active |
| robjhyndman/forecast The R package forecast provides methods and tools for displaying and analysing univariate time series forecasts, including exponential smoo… | 84 | 1182 | stable |
| RRDtool RRDtool is the industry-standard open-source tool for storing time-series data in fixed-size round-robin databases and generating graphs fr… | 91 | 1117 | stable |
| fraunhoferportugal/tsfel TSFEL is an open-source Python library for extracting features from time series signals across statistical, temporal, spectral, and fractal… | 66 | 1105 | active |
| microsoft/TimeCraft TimeCraft is a diffusion model-based framework for generating high-quality synthetic time series data across domains. It uses learned seman… | 61 | 1091 | active |
| twitter/AnomalyDetection An R package from Twitter that detects anomalies in time series and numeric vectors using the Seasonal Hybrid ESD (S-H-ESD) algorithm, robu… | 10 | 3606 | maintenance |
| thuml/Large-Time-Series-Model Official code, datasets, and checkpoints for Timer and Sundial, generative pre-trained Transformer foundation models for general time serie… | 55 | 1020 | active |
| probml/dynamax Dynamax is a Python library for probabilistic state space modeling built on JAX. It provides inference and learning algorithms for HMMs, li… | 88 | 1010 | active |
| fslaborg/Deedle Deedle is an easy-to-use .NET library for data frame and time series manipulation, designed for exploratory scientific programming in F# an… | 77 | 1006 | active |
| cure-lab/LTSF-Linear Official PyTorch implementation of LTSF-Linear (Linear, DLinear, NLinear) from the AAAI-23 paper 'Are Transformers Effective for Time Serie… | 32 | 2520 | maintenance |
| influxdata/kapacitor Kapacitor is an open-source framework for processing, monitoring, and alerting on time series data, part of the InfluxData TICK stack. It u… | 95 | 2376 | maintenance |
| Flow Forecast Flow Forecast is a PyTorch-based deep learning framework for time series forecasting, classification, and anomaly detection. It offers stat… | 66 | 2302 | maintenance |
| RJT1990/pyflux PyFlux is an open source Python library for time series analysis and forecasting, offering a broad range of models such as ARIMA, GARCH, GA… | 32 | 2136 | maintenance |
| datamllab/tods TODS is a full-stack automated machine learning system for outlier detection on multivariate time-series data, developed by DATA Lab at Ric… | 32 | 1667 | maintenance |
| hfawaz/dl-4-tsc Companion repository for the paper 'Deep learning for time series classification: a review', providing TensorFlow 2 implementations of nine… | 32 | 1660 | maintenance |
| liyaguang/DCRNN A TensorFlow implementation of the Diffusion Convolutional Recurrent Neural Network (DCRNN) from the ICLR 2018 paper on data-driven traffic… | 32 | 1448 | maintenance |
| zalandoresearch/pytorch-ts PyTorchTS is a PyTorch-based probabilistic time series forecasting library that uses GluonTS as its backend API for loading, transforming, … | 23 | 1369 | maintenance |
| chickenbestlover/RNN-Time-series-Anomaly-Detection A PyTorch implementation of an RNN-based time-series anomaly detector using a two-stage strategy of multi-step prediction followed by anoma… | 32 | 1303 | maintenance |
| VeritasYin/STGCN_IJCAI-18 Reference implementation of Spatio-Temporal Graph Convolutional Networks (STGCN) from the IJCAI 2018 paper, a deep learning framework for t… | 68 | 1244 | maintenance |
| arundo/adtk ADTK is a Python package for unsupervised and rule-based anomaly detection in time series. It provides detectors, transformers, and aggrega… | 23 | 1212 | maintenance |
| Plotly Resampler A Python library that adds dynamic resampling to Plotly figures so large time series datasets remain interactive when panning and zooming. … | 64 | 1209 | maintenance |
| khundman/telemanom Telemanom is a Python framework that uses vanilla LSTMs (Keras/TensorFlow) to detect anomalies in multivariate time series sensor data, wit… | 32 | 1200 | maintenance |
| influxdata/influxdb-java The official Java client library for InfluxDB 1.x, an open source time series database. It supports querying via InfluxQL and a QueryBuilde… | 51 | 1196 | maintenance |
| spark-timeseries A Scala/Java/Python library for time series analysis on Apache Spark, providing distributed abstractions for large time series datasets plu… | 32 | 1194 | maintenance |
| yahoo/egads EGADS (Extensible Generic Anomaly Detection System) is an open-source Java library for automatically detecting anomalies, outliers, and cha… | 32 | 1190 | maintenance |
| twosigma/flint Flint is Two Sigma's open-source time series library for Apache Spark, built around a time series aware TimeSeriesRDD data structure. It pr… | 32 | 1181 | maintenance |
| facette/facette Facette is an open-source web application for visualizing time series data from sources like collectd, Graphite, InfluxDB, and KairosDB on … | 23 | 1156 | maintenance |
| thuml/TimesNet TimesNet is the official code release for the ICLR 2023 paper on temporal 2D-variation modeling for general time series analysis. It transf… | 31 | 1118 | maintenance |
| RedisTimeSeries RedisTimeSeries is a Redis module that adds a native time series data structure to Redis, supporting high-volume inserts, low-latency range… | 96 | 1070 | maintenance |
| jsyoon0823/TimeGAN Reference implementation of TimeGAN, a generative adversarial network framework for generating synthetic time-series data, published at Neu… | 58 | 1064 | maintenance |
| thuml/Anomaly-Transformer Official PyTorch implementation of the Anomaly Transformer model from the ICLR 2022 Spotlight paper on unsupervised time series anomaly det… | 32 | 1042 | maintenance |
| Orion Orion is a Python machine learning library for unsupervised time series anomaly detection, offering verified ML pipelines that flag rare pa… | 73 | 1370 | experimental |
| square/cube Cube is a system for collecting timestamped events and deriving metrics, built on MongoDB and Node.js, with time series visualization. It c… | 10 | 3871 | abandoned |
| facebookarchive/beringei Beringei is a high-performance, in-memory time series storage engine based on Facebook's Gorilla paper, usable as an embedded library or as… | 10 | 3150 | abandoned |
| Kale Skyline is a real-time anomaly detection system for passively monitoring hundreds of thousands of high-resolution time series metrics witho… | 10 | 2128 | abandoned |
| killrweather/killrweather KillrWeather is a Scala reference application demonstrating integration of Apache Spark Streaming, Apache Kafka, Apache Cassandra, and Akka… | 32 | 1177 | abandoned |
| TDengine TDengine is an open-source, cloud-native time-series database (TSDB) written in C, purpose-built for IoT, connected vehicles, industrial Io… | 90 | 25149 | active |
| autogluon/autogluon AutoGluon is an AutoML library that automates machine learning on tabular data, time series, text, and images with just a few lines of Pyth… | 93 | 10766 | active |
| yzhao062/pyod PyOD is the most comprehensive Python library for anomaly detection, offering 60+ detectors across tabular, time series, graph, text, image… | 96 | 10026 | stable |
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