600 Open source projects that are alternatives of or similar to awesome-time-series

A machine learning toolkit dedicated to time-series data

My Experiments with Time Series

A unified framework for machine learning with time series

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Analyzes chronological patterns present in time-series data and provides human-readable descriptions

A python multi-variate time series prediction library working with sklearn

An End-to-end Outlier Detection System

STUMPY is a powerful and scalable Python library for modern time series analysis

Probabilistic time series modeling in Python

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

Merlion: A Machine Learning Framework for Time Series Intelligence

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

High-performance time series algorithms for Ruby

An open-source, low-code machine learning library in Python

Axibase Time Series Database: Usage Examples and Research Articles

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

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

A Python toolkit for rule-based/unsupervised anomaly detection in time series

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.

fast implementation of singular spectrum transformation (change point detection algorithm)

A framework for systemic risk valuation and analysis.

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

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

A use-case focused tutorial for time series forecasting with python

List of tools & datasets for anomaly detection on time-series data.

Anomaly detection for streaming time series, featuring automated model selection.

An open source library for Fuzzy Time Series in Python

THIS REPO HAS MOVED TO https://github.com/apache/incubator-iotdb. TsFile is a columnar file format designed for time-series data, which supports efficient compression and query. It is easy to integrate TsFile with your IOT big data processing frameworks.

(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"

A framework for historical volatility estimation and analysis.

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

Tidy anomaly detection

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

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

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

RNN based Time-series Anomaly detector model implemented in Pytorch.

Highly comparative time-series analysis

TSrepr: R package for time series representations

A Keras library for multi-step time-series forecasting.

Anomaly detection for temporal data using LSTMs

Predict time-series with one line of code.

时间序列分析教程

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.

Stock Analysis Tutorial in Python

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.

Code examples for pyFTS

Time Series Data Analysis, Visualization and Forecasting with Python for Health and Self

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

No description or website provided.

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

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

An OpenTSDB-like time series database, with much better performance.

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Anomaly detection library based on singular spectrum transformation(sst)

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

Fast & scalable MCMC for all your exoplanet needs!

Example of order book modeling.

list of papers, code, and other resources