Top 406 time-series open source projects

SUpporting GRaphics with R for ANalysing Time Series

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

Model data as beliefs (at a certain time) about events (at a certain time).

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

Hands-on training labs for Deep Learning in Time Series course by CERTIFAI

Download and tidy time series data from the Australian Bureau of Statistics in R

Acquire data with honour and wisdom — using the way of the ninja.

Periodic time series analysis tools based on information theory

A Univariate Time Series Analysis and ARIMA Modeling Package in ANSI C. Updated with SARIMAX and Auto ARIMA.

Data abstraction, storage, discovery, and serving system

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Sequence Modeling with Structured State Spaces

R Functions implementing UCR Matrix Profile Algorithm

A time series database prototype with multiple backends

TalariaDB is a distributed, highly available, and low latency time-series database for Presto

A Python library for machine-learning and feedback loops on streaming data

Resampling Tools for Time Series Forecasting with Modeltime

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

Open weather data for humans

Collection of several downsampling methods for time series visualisation purposes.

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

Univariate and multivariate time series forecasting

Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

Classifying time series using feature extraction

ES6 module of cubism.js, based on d3v5.

Algorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

A Python Package For System Identification Using NARMAX Models

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

Poor man's time series functionality for PostgreSQL

Enables extraction of measurement data from binary files with extension 'raw' used by proprietary software imcFAMOS/imcSTUDIO and facilitates its storage in open source file formats

Python package for automatically constructing features from multiple time series

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Synthetic Data Generation for mixed-type, multivariate time series.

An overview of univariate time series forecasting models with sample code.

Shiny app for Price Optimization using prophet and lme4 libraries for R.

Creating a model to analyze and predict the trend of the prices of gold.

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

Using LSTM network for time series forecasting

Wavefront plugin for go-metrics

Scalable machine 🤖 learning for time series forecasting.

Dynamic Time Warping in Python / C (using ctypes)

Reusable CNN and RNN model doing time series binary classification

Time Series Ensemble Forecasting

If you can measure it, consider it predicted

Bayesian Generalized Linear Models with Time-Varying Coefficients

Statistical inference on machine learning or general non-parametric models

Historical NAV/price/time-series data of mutual funds and popular benchmark indices in India

Python package for early warning signals (EWS) of bifurcations in time series data.

Forecast time series and stock prices with SCINet

Example of order book modeling.

PlotTwist - a web app for plotting and annotating time-series data

A Java library for Matrix Profile

Code examples for pyFTS

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.