102 Open source projects that are alternatives of or similar to Prophet

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

📈 high level wrapper for parallel univariate time series forecasting 📉

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

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

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

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

Data-driven COVID-19 forecasts and detection of unreported cases

Deep learning for forecasting company fundamental data

CentOS based Docker container for Time Series Analysis and Modeling.

Kaggle | Web Traffic Forecasting 📈

A toolkit for working with time series in R

Forecasting Solar Power: Analysis of using a LSTM Neural Network

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.

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

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

Applying Facebook's prophet on Google Analytics data

forecast package for R

demography package for R

Probabilistic time series modeling in Python

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ARCH models in Python

This Project gives you an overall idea for Forecasting Mutual Funds

A Python library for integrating model-based and judgmental forecasting

LSTM to predict wind speed

Tidy time series forecasting

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

GluonTS Deep Learning with Modeltime

MSGARCH R Package

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

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

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

Time series forecasting with PyTorch

Tools for time series analysis and forecasting

An open source library for Fuzzy Time Series in Python

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

Pyncov-19: Learn and predict the spread of COVID-19

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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

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

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.

Time series analysis in Java

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

Stock Price Prediction using Machine Learning Techniques

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

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

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

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

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

Time Series Forecasting Best Practices & Examples

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Non-Intrusive Load Monitoring Toolkit (nilmtk)

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

A Python library for time series forecasting

A unified framework for machine learning with time series

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

Programs for stock prediction and evaluation

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

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

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