Top 406 time-series open source projects

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Quantitative Financial Modelling Framework

An aggregating proxy to enable HA prometheus

Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data

Fastest Integer Compression

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

🕖 A curated list of awesome time series databases, benchmarks and papers

Time Series in Go and PostgreSQL

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Fully Convlutional Neural Networks for state-of-the-art time series classification

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

SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

Python module for machine learning time series:

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Python implementation of Empirical Mode Decompoisition (EMD) method

Highly comparative time-series analysis

🌊 Numerically solving and backpropagating through the wave equation

A unified framework for machine learning with time series

Fast and flexible Gaussian Process regression in Python

sktime companion package for deep learning based on TensorFlow

A python library for Bayesian time series modeling

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

A toolkit for working with time series in R

Collection of useful data science topics along with code and articles

Low-latency algorithmic trading platform written in Rust

Synthetic Data Generation for tabular, relational and time series data.

Accumulo backed time series database

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Series and Panels for Real-time and Exploratory Analysis of Data Streams

Distributable time-series database (not actively maintained)

Ruby client for InfluxDB

DeltaPy - Tabular Data Augmentation (by @firmai)

Code for "Neural Controlled Differential Equations for Irregular Time Series"

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

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Axibase Time Series Database: Usage Examples and Research Articles

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

A stock trading bot that uses machine learning to make price predictions.

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Chart.js plugin for live streaming data

Python implementation of soft-DTW.

💡 A Distributed and High-Performance Monitoring System. Prometheus enterprise edition

CrateDB is a distributed SQL database that makes it simple to store and analyze massive amounts of data in real-time.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Scientific time series and deep learning state of the art

An open source SQL database designed to process time series data, faster

Tidy anomaly detection

Timelines Chart

Machine learning models for time series analysis

The Chronix Server implementation that is based on Apache Solr.

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

An open-source, low-code machine learning library in Python

Nonlinear Nonparametric Statistics

Merlion: A Machine Learning Framework for Time Series Intelligence

Process live and historical data from luftdaten.info, IRCELINE and OpenAQ. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into timeseries and RDBMS databases, publish to MQTT, output as JSON or visualize in Grafana.

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

Visualize large time-series data in plotly