741 Open source projects that are alternatives of or similar to timemachines

If you can measure it, consider it predicted

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

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

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

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

A machine learning toolkit dedicated to time-series data

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

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.

Extending broom for time series forecasting

Stock Analysis Tutorial in Python

Fast & scalable MCMC for all your exoplanet needs!

TSrepr: R package for time series representations

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Highly comparative time-series analysis

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

An End-to-end Outlier Detection System

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.

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

A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature

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

A python library for Bayesian time series modeling

Time Series Ensemble Forecasting

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

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.

An integrated framework in R for textual sentiment time series aggregation and prediction

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

A framework for systemic risk valuation and analysis.

List of papers, code and experiments using deep learning for time series forecasting

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

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

An open source library for Fuzzy Time Series in Python

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

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

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

Collection of several downsampling methods for time series visualisation purposes.

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

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

NetCDF-CF Geometry and Timeseries Tools for R: https://code.usgs.gov/water/ncdfgeom

A toolkit for working with time series in R

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

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

1st place solution

Bringing financial analysis to the tidyverse

A unified framework for machine learning with time series

Solution to Kaggle - Web Traffic Time Series Forecasting

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

Timeseries database

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

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

Time series analysis in Java

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

An open-source library of algorithms to analyse time series in GPU and CPU.

Time-aware tibbles

A Multipurpose Library for Synthetic Time Series Generation in Python

Financial market technical analysis & indicators in Julia

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

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 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.

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

Downsample plugin for Flot charts.