The Top 485 Forecasting Open Source Projects on Github

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Combined Topics

Advertising 📦 9

Application Programming Interfaces 📦 120

Applications 📦 181

Artificial Intelligence 📦 72

Blockchain 📦 70

Build Tools 📦 111

Cloud Computing 📦 79

Code Quality 📦 28

Collaboration 📦 30

Command Line Interface 📦 48

Community 📦 81

Companies 📦 60

Compilers 📦 60

Computer Science 📦 74

Configuration Management 📦 39

Content Management 📦 167

Control Flow 📦 197

Data Formats 📦 77

Data Processing 📦 266

Data Storage 📦 132

Economics 📦 60

Frameworks 📦 198

Graphics 📦 103

Hardware 📦 148

Integrated Development Environments 📦 47

Learning Resources 📦 147

Libraries 📦 119

Lists Of Projects 📦 21

Machine Learning 📦 336

Mapping 📦 61

Marketing 📦 15

Mathematics 📦 55

Messaging 📦 97

Networking 📦 304

Operating Systems 📦 84

Operations 📦 120

Package Managers 📦 52

Programming Languages 📦 229

Runtime Environments 📦 96

Science 📦 42

Security 📦 375

Social Media 📦 26

Software Architecture 📦 70

Software Development 📦 68

Software Performance 📦 57

Software Quality 📦 127

Text Editors 📦 45

Text Processing 📦 131

User Interface 📦 310

User Interface Components 📦 465

Version Control 📦 29

Virtualization 📦 68

Web Browsers 📦 38

Web Servers 📦 25

Web User Interface 📦 194

The Top 485 Forecasting Open Source Projects on Github

Categories > Machine Learning > Forecasting

Prophet ⭐ 13,637

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Awesome Project Ideas ⭐ 6,074

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Sktime ⭐ 4,708

A unified framework for machine learning with time series

Darts ⭐ 3,181

A python library for easy manipulation and forecasting of time series.

Gluon Ts ⭐ 2,302

Probabilistic time series modeling in Python

Merlion ⭐ 2,241

Merlion: A Machine Learning Framework for Time Series Intelligence

Forecasting ⭐ 2,088

Time Series Forecasting Best Practices & Examples

Informer2020 ⭐ 1,852

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Neural_prophet ⭐ 1,780

NeuralProphet: A simple forecasting package

Pytorch Forecasting ⭐ 1,545

Time series forecasting with PyTorch

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Pmdarima ⭐ 1,060

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Forecast ⭐ 944

forecast package for R

ARCH models in Python

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Flow Forecast ⭐ 801

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

Non-Intrusive Load Monitoring Toolkit (nilmtk)

Stockpriceprediction ⭐ 554

Stock Price Prediction using Machine Learning Techniques

Web Traffic Forecasting ⭐ 552

Kaggle | Web Traffic Forecasting 📈

Luminaire ⭐ 491

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

A toolkit for working with time series in R

Tidy time series forecasting

Django Ledger ⭐ 397

A bookkeeping & financial analysis engine for the Django Framework. UNDER ACTIVE DEVELOPMENT & NOT STABLE YET.

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

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

Awesome Risk Quantification ⭐ 340

A collection of awesome projects, blog posts, books, and talks on quantifying risk

Modeltime ⭐ 321

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

Automated Time Series Forecasting

Tsstudio ⭐ 247

Tools for time series analysis and forecasting

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Programs for stock prediction and evaluation

Prophet Ruby ⭐ 217

Time series forecasting for Ruby

Covid19 Severity Prediction ⭐ 194

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Esrnn Gpu ⭐ 188

PyTorch GPU implementation of the ES-RNN model for time series forecasting

Statespacemodels.jl ⭐ 172

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

An open source library for Fuzzy Time Series in Python

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

Java Timeseries ⭐ 139

Time series analysis in Java

Wayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.

Supplychainpy ⭐ 137

Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

ETNA – Time-Series Library

Qlik Py Tools ⭐ 132

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Xskillscore ⭐ 124

Metrics for verifying forecasts

Traffic_prediction ⭐ 123

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Climpred ⭐ 115

🌎 Verification of weather and climate forecasts 🌍

Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.

Introduction To Time Series Forecasting Python ⭐ 107

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

Deep Quant ⭐ 98

Deep learning for forecasting company fundamental data

Jelly Fin ⭐ 91

A simple way to manage your finances with forecasting. We should automate our money, not make it automate us.

Timeseries ⭐ 88

Timeseries for everyone

Etdataset ⭐ 84

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

A Python library for integrating model-based and judgmental forecasting

Nowcasting ⭐ 77

Forecastml ⭐ 76

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

Singular Spectrum Analysis for time series forecasting in Python

Fpp2 Package ⭐ 75

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp2/>. All packages required to run the examples are also loaded.

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Anticipy ⭐ 71

A Python library for time series forecasting

Sky Cast Capstone ⭐ 62

Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series

Software for verifying weather forecasts

Tsfeatures ⭐ 58

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

Modeltime.ensemble ⭐ 56

Time Series Ensemble Forecasting

Code for Towards Streaming Perception (ECCV 2020) 🚗

MSGARCH R Package

Covid 19 Hospitalisierungen_in_deutschland ⭐ 49

Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt. Um den Trend der Anzahl von Hospitalisierungen und der 7-Tage-Hospitalisierungsinzidenz besser bewerten zu können, wird die berichtete Hospitalisierungsinzidenz um eine Schätzung der zu erwartenden Anzahl an verzögert berichteten Hospitalisierungen ergänzt. Neben den Daten der gemeldeten COVID-19-Hospitalisierungen auf Bundes- und Länderebene wird daher ein Nowcasting der Anzahl hospitalisierter Fälle und der 7-Tage-Hospitalisierungsinzidenz auf Bundesebene durchgeführt. Ziel ist die Schätzung der Anzahl von hospitalisierten COVID-19-Fällen mit Meldedatum innerhalb der sieben vorhergehenden Tage - inklusive der noch nicht an das RKI berichteten Hospitalisierungen. Aufbauend auf dem Nowcasting wird eine Schätzung der adjustierten 7-Tage-Hospitalisierungsinzidenz durchgeführt.

Little R utility package for making time series data more machine learning-friendly

Sars Cov 2 Nowcasting_und_ R Schaetzung ⭐ 44

Das Nowcasting erstellt eine Schätzung des Verlaufs der Anzahl von bereits erfolgten SARS-CoV-2-Erkrankungsfällen in Deutschland unter Berücksichtigung des Diagnose-, Melde- und Übermittlungsverzugs. Aufbauend auf dem Nowcasting kann eine Schätzung der zeitabhängigen Reproduktionszahl R durchgeführt werden. Die Reproduktionszahl beschreibt, wie viele Menschen eine infizierte Person im Mittel ansteckt. Sie kann nicht alleine als Maß für Wirksamkeit/Notwendigkeit von Maßnahmen herangezogen werden. Wichtig sind außerdem u.a. die absolute Zahl der täglichen Neuinfektionen sowie die Schwere der Erkrankungen. Die absolute Zahl der Neuinfektionen muss klein genug sein, um eine effektive Kontaktpersonennachverfolgung zu ermöglichen und die Kapazitäten von Intensivbetten nicht zu überlasten.

Orange3 Timeseries ⭐ 43

🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.

Fpp3 Package ⭐ 43

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.

Sagemaker Deep Demand Forecast ⭐ 42

Using Deep Learning for Demand Forecasting with Amazon SageMaker

Wattnet Fx Trading ⭐ 40

WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series

Demography ⭐ 40

demography package for R

Forestatrisk ⭐ 39

📦 🐍 Python package to model and forecast the risk of deforestation

Keras Tensorflow Financial Time Series Signal Forecast ⭐ 39

Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM

Capstone Project ⭐ 38

Predicting stock market movement with EDA and Keras

Tsforecasting ⭐ 37

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

Lisflood Code ⭐ 36

Lisflood OS - LISFLOOD

Analysis and product generation for meteorological data.

Skforecast ⭐ 35

Time series forecasting with scikit-learn models

Forecastveg ⭐ 34

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Gan Rnn_timeseries Imputation ⭐ 33

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Bayesmodels ⭐ 32

The Tidymodels Extension for Bayesian Models

Forecasting On Air Pollution With Rnn Lstm ⭐ 31

Time Series Forecasting using LSTM in Keras.

Boostime ⭐ 31

The Tidymodels Extension for Time Series Boosting Models

Streamlit_prophet ⭐ 31

Deploy a Streamlit app to train, evaluate and optimize a Prophet forecasting model visually.

Nixtlats ⭐ 30

Deep Learning for Time Series Forecasting.

Diebold Mariano Test ⭐ 30

This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).

Hawkular Datamining ⭐ 29

Real-time time series prediction library with standalone server

Python Awips ⭐ 29

A framework for querying AWIPS meteorological datasets from an EDEX Data Server.

Flusight ⭐ 28

Influenza forecasts visualizer

An easy to use low-code open-source python framework for Time Series analysis, visualization, forecasting along with AutoTS

Forecasting_with_r_practices ⭐ 27

Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.

Googleanalyticsprophetr ⭐ 26

Applying Facebook's prophet on Google Analytics data

Modeltime.h2o ⭐ 26

Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.

fantasy football forecasting and draft app

Rnn Rc Chaos ⭐ 23

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

Solar Rad Forecasting ⭐ 22

Proceso de investigación e implementación realizado para la construcción de varios modelos de aprendizaje automático basados en redes neuronales que sean capaces de predecir niveles de radiación solar dado un conjunto de datos históricos.

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

Stock Market Forecasting ⭐ 22

Stock market forecasting using the ARIMA model.

1-100 of 485 projects

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Deep Learning Forecasting Projects (56)

Advertising 📦 9

Application Programming Interfaces 📦 120

Applications 📦 181

Artificial Intelligence 📦 72

Blockchain 📦 70

Build Tools 📦 111

Cloud Computing 📦 79

Code Quality 📦 28

Collaboration 📦 30

Command Line Interface 📦 48

Community 📦 81

Companies 📦 60

Compilers 📦 60

Computer Science 📦 74

Configuration Management 📦 39

Content Management 📦 167

Control Flow 📦 197

Data Formats 📦 77

Data Processing 📦 266

Data Storage 📦 132

Economics 📦 60

Frameworks 📦 198

Graphics 📦 103

Hardware 📦 148

Integrated Development Environments 📦 47

Learning Resources 📦 147

Libraries 📦 119

Lists Of Projects 📦 21

Machine Learning 📦 336

Mapping 📦 61

Marketing 📦 15

Mathematics 📦 55

Messaging 📦 97

Networking 📦 304

Operating Systems 📦 84

Operations 📦 120

Package Managers 📦 52

Programming Languages 📦 229

Runtime Environments 📦 96

Science 📦 42

Security 📦 375

Social Media 📦 26

Software Architecture 📦 70

Software Development 📦 68

Software Performance 📦 57

Software Quality 📦 127

Text Editors 📦 45

Text Processing 📦 131

User Interface 📦 310

User Interface Components 📦 465

Version Control 📦 29

Virtualization 📦 68

Web Browsers 📦 38

Web Servers 📦 25

Web User Interface 📦 194

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