Top 149 timeseries open source projects

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Plotting and logging of real-time data for desktop.

Interpolation-Prediction Networks for Irregularly Sampled Time Series

Solution to Kaggle - Web Traffic Time Series Forecasting

A Time Series Library for Apache Spark

Timeseries database

A Python package for time series classification

📈 The InfluxDB Client for Node.js and Browsers

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

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

Performance Co-Pilot

Golang implementation of Graphite/Carbon server with classic architecture: Agent -> Cache -> Persister

Declarative and modular timeseries charting components for React

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Bringing financial analysis to the tidyverse

Python implementation of KNN and DTW classification algorithm

Time Series data structure for Redis

Time series distances: Dynamic Time Warping (DTW)

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Chart.js module for charting financial securities

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.

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

A python library for Bayesian time series modeling

A toolkit for working with time series in R

Cloudinsight Agent is a system tool that monitors system processes and services, and sends information back to your Cloudinsight account.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

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

Fast data store for Pandas time-series data

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Anomaly detection

Portfolio optimization with deep learning.

Hastic data management server for analyzing patterns and anomalies from Grafana

Synthetic structured data generators

Tools for time series analysis and forecasting

Interactive visualizations of time series using JavaScript and the HTML canvas tag

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Timeseries database

Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.

Lightweight, functional and correct time-series library for scala. Easy manipulation, filtering and combination of time-series data.

RedisTimeSeries python client

Java client libraries for redis-modules https://redis.io/modules, based on Redisson. https://github.com/redisson/redisson

A Julia package for estimating ARMA-GARCH models.

Hastic standalone

Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js

📈 Use Redis Time Series in PHP!

A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature

Estimate dynamic high-order correlations in multivariate timeseries data

Apache IoTDB Client for Go

Sources of the book "Displaying time series, spatial and space-time data with R" (2nd Edition)

An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

Collection of several downsampling methods for time series visualisation purposes.

Remote storage adapter enabling Prometheus to use PostgreSQL as a long-term store for time-series metrics.

This project is deprecated in favor of https://github.com/RedisTimeSeries/grafana-redis-datasource

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Python port of R's Comprehensive Dynamic Time Warp algorithms package

Manipulate music data, humanize, quantize and analyze music performances with Julia

NetCDF-CF Geometry and Timeseries Tools for R: https://code.usgs.gov/water/ncdfgeom

Time Series Ensemble Forecasting