565 Open source projects that are alternatives of or similar to Java Timeseries

A toolkit for working with time series in R

Time Series Ensemble Forecasting

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

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

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

1st place solution

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

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

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

A unified framework for machine learning with time series

An open source library for Fuzzy Time Series in Python

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

Resampling Tools for Time Series Forecasting with Modeltime

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

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

A machine learning toolkit dedicated to time-series data

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

A python library for Bayesian time series modeling

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.

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

ARCH models in Python

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

MSGARCH R Package

Timeseries database

Probabilistic time series modeling in Python

Financial market technical analysis & indicators in Julia

Stock Analysis Tutorial in Python

Collection of several downsampling methods for time series visualisation purposes.

GluonTS Deep Learning with Modeltime

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

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

CentOS based Docker container for Time Series Analysis and Modeling.

📈 high level wrapper for parallel univariate time series forecasting 📉

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

Tools for time series analysis and forecasting

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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

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

Library which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.

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

Scalable machine 🤖 learning for time series forecasting.

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

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

Kaggle | Web Traffic Forecasting 📈

Solution to Kaggle - Web Traffic Time Series Forecasting

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

A python library for time-series smoothing and outlier detection in a vectorized way.

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.

Durable time-series database that's API-compatible with Prometheus.

Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.

A Python library for time series forecasting

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Anything can happen in the next half hour (including spectral timing made easy)!

Extending broom for time series forecasting

If you can measure it, consider it predicted

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

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

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