Top 406 time-series open source projects

Real-time performance monitoring, done right! https://www.netdata.cloud

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

list of papers, code, and other resources

A friendly package for Kepler & TESS time series analysis in Python.

playing idealized trading games with deep reinforcement learning

An open-source big data platform designed and optimized for the Internet of Things (IoT).

The Most Advanced Time Series Platform

Time Series Metrics Engine based on Cassandra

Scalable Time Series Data Analytics

A full featured Generic SNMP data collector with Web Administration Interface for InfluxDB

High-performance time-series aggregation for PostgreSQL

Archived incubation repo for InfluxDB 2.0

An intuitive library to extract features from time series

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Time series features

🚂 Python API for Emma's Markov Model Algorithms 🚂

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Miami InSAR time-series software in Python

Modeltime unlocks time series forecast models and machine learning in one framework

Extensible time series class that provides uniform handling of many R time series classes by extending zoo.

Downsample plugin for Flot charts.

Training Diary

R Package for Time Series Clustering Along with Optimizations for DTW

Loud ML is the first open-source AI solution for ICT and IoT automation

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

The Time Series Visualization Tool that you deserve.

Advanced and Fast Data Transformation in R

A Python package for time series augmentation

Anomaly detection for temporal data using LSTMs

Time-aware tibbles

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

Open source framework for processing, monitoring, and alerting on time series data

A Multipurpose Library for Synthetic Time Series Generation in Python

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Release Docker builds of TimescaleDB

Library of autoencoders for sequential data

Python implementation of k-Shape

An open-source library of algorithms to analyse time series in GPU and CPU.

Cross-platform .NET library for InfluxDB distributed time-series database.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

scikit-learn-inspired time series

Scalable 1D Gaussian Processes in C++, Python, and Julia

Open source time series library for Python

Code for Java Deep Learning Cookbook

Time series analysis in Java

An open source library for Fuzzy Time Series in Python

Anomaly detection for streaming time series, featuring automated model selection.

ASAP: Prioritizing Attention via Time Series Smoothing

Probabilistic time series modeling in Python

Time Series Forecasting Best Practices & Examples

Variational Autoencoder for Dimensionality Reduction of Time-Series

Implementation of time series compression method from the Facebook's Gorilla paper

Hurst exponent evaluation and R/S-analysis in Python

Anomaly detection tutorial on univariate time series with an auto-encoder

Time Series Cross-Validation -- an extension for scikit-learn

Tutorial Sessions for SciPy Con 2019

Extending broom for time series forecasting

Live Quant Trading Framework for Robinhood, using IEX Trading and AlphaVantage for Free Prices.