404 Open source projects that are alternatives of or similar to ctsa

CentOS based Docker container for Time Series Analysis and Modeling.

Machine Learning Projects

Creating a model to analyze and predict the trend of the prices of gold.

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

ES6 module of cubism.js, based on d3v5.

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

Dynamic Time Warping in Python / C (using ctypes)

Bayesian Generalized Linear Models with Time-Varying Coefficients

Open weather data for humans

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

Forecast time series and stock prices with SCINet

Shiny app for Price Optimization using prophet and lme4 libraries for R.

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

Wavefront plugin for go-metrics

Resampling Tools for Time Series Forecasting with Modeltime

Time Series Ensemble Forecasting

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

Historical NAV/price/time-series data of mutual funds and popular benchmark indices in India

A time series database prototype with multiple backends

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

PlotTwist - a web app for plotting and annotating time-series data

Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

bitcoin prediction algorithms

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.

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

Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

A Python library for machine-learning and feedback loops on streaming data

Using LSTM network for time series forecasting

Classifying time series using feature extraction

Scalable machine 🤖 learning for time series forecasting.

R Functions implementing UCR Matrix Profile Algorithm

Reusable CNN and RNN model doing time series binary classification

Algorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.

If you can measure it, consider it predicted

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

Statistical inference on machine learning or general non-parametric models

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

Python package for early warning signals (EWS) of bifurcations in time series data.

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Example of order book modeling.

A Python Package For System Identification Using NARMAX Models

A Java library for Matrix Profile

Collection of several downsampling methods for time series visualisation purposes.

Code examples for pyFTS

Poor man's time series functionality for PostgreSQL

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.

TalariaDB is a distributed, highly available, and low latency time-series database for Presto

Simple python example on how to use ARIMA models to analyze and predict time series.

Enables extraction of measurement data from binary files with extension 'raw' used by proprietary software imcFAMOS/imcSTUDIO and facilitates its storage in open source file formats

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

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

Python package for automatically constructing features from multiple time series

LSTM Mobility Model implementation using Tensorflow

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

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Data abstraction, storage, discovery, and serving system

Sequence Modeling with Structured State Spaces