1390 Open source projects that are alternatives of or similar to Brein Time Utilities

A Multipurpose Library for Synthetic Time Series Generation in Python

Time-aware tibbles

An open source library for Fuzzy Time Series in Python

Time Series Ensemble Forecasting

Extending broom for time series forecasting

Technical Analysis Library Time-Series

A toolkit for working with time series in R

Financial market technical analysis & indicators in Julia

Downsample plugin for Flot charts.

A friendly package for Kepler & TESS time series analysis in Python.

Singular Spectrum Analysis for time series forecasting in Python

1st place solution

Stock Analysis Tutorial in Python

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

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

Implements a fixed-capacity stack-allocated Vec alternative backed by an array, using const generics.

Yet another node.js torrent scraper made especially for movie, series, anime and music (scrape from 1337x, eztv, limetorrents, rarbg, skytorrents, thepiratebay, torrentproject, yts and zooqle)

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

If you can measure it, consider it predicted

a byte-sized time series database

Utility class to simplify use of timers created by setTimeout

Python port of R's Comprehensive Dynamic Time Warp algorithms package

An unordered C++ data container providing fast iteration/insertion/erasure while maintaining pointer/iterator validity to non-erased elements regardless of insertions/erasures. Provides higher-performance than std:: library containers for high-modification scenarios with unordered data.

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

Human readable time distances for javascript

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.

A machine learning toolkit dedicated to time-series data

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

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

PHP's time range API

ELKI Data Mining Toolkit

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

Time series analysis in Java

Modeltime unlocks time series forecast models and machine learning in one framework

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

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

Time series implementation in Go

Type-safe time calculations in Kotlin, powered by generics.

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.

Predict time-series with one line of code.

Time series forecasting with PyTorch

Data collection to analyze the dissemination of COVID-19 through Brazilian states. Contributions are welcome.

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

Lightweight, functional and correct time-series library for scala. Easy manipulation, filtering and combination of time-series data.

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

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

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

A python library for Bayesian time series modeling

Collection of several downsampling methods for time series visualisation purposes.

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

Timeseries database

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

Solution to Kaggle - Web Traffic 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.

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

Bringing financial analysis to the tidyverse

Simple nodejs package to download torrents using torrent-indexer and webtorrent, especially movie and series.

Ruby parser to work with ISO8601 dateTimes and durations — http://en.wikipedia.org/wiki/ISO_8601

Javascript module for generating random, distinguishable, pleasing colors (ie: for chart series).

Distributed Prometheus time series database