398 Open source projects that are alternatives of or similar to Kshape

Hurst exponent evaluation and R/S-analysis in Python

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

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

R interface to X-13ARIMA-SEATS

Time series analysis in Java

DataFrame Server for Financial Timeseries Data

Deep learning meets molecular dynamics.

CNN for stock market prediction using raw data & candlestick graph.

Time Series Cross-Validation -- an extension for scikit-learn

[Archive] High Volume Data Feed (HDVF) framework for time series data - This Repository is NOT a supported MongoDB product

Realtime animated graphs with PubNub and C3.

Implementation of soft dynamic time warping in pytorch

scikit-learn-inspired time series

TSrepr: R package for time series representations

A Time Series Data Browser

JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily

Extending broom for time series forecasting

A Python library for time series forecasting

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

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

Real-time analysis of bitcoin markets with Kafka and Tensorflow Serving

The plugin-driven server agent for collecting & reporting metrics.

Whisper is a file-based time-series database format for Graphite.

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

Talk at PyCon UA 2018 (Kharkov, Ukraine)

COVID-19 statistics for Germany. For states and counties. With time series data. Daily updates. Official RKI numbers.

This package includes basic tools for time series analysis, compatible with incomplete data.

Cross-platform .NET library for InfluxDB distributed time-series database.

An implementation of soft-DTW divergences.

End-to-end earthquake detection pipeline via efficient time series similarity search

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

A repository to keep track of all the code that I end up writing for my blog posts.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

GANs for time series generation in pytorch

Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259

Probabilistic time series modeling in Python

Example projects, code, and documents for comparing Mathematica with R.

A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

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

Solution to Kaggle - Web Traffic Time Series Forecasting

The Prometheus monitoring system and time series database.

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

Open source time series library for Python

Methods for Temporal Disaggregation and Interpolation of Time Series

Quantitative systematic trading strategy development and backtesting in Julia

Anomaly Generator on Time Series

Technical Analysis Library Time-Series

The Heroic Time Series Database

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

terminal-based personal organizer

Variational Autoencoder for Dimensionality Reduction of Time-Series

Deep Markov Models

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

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Code for Java Deep Learning Cookbook

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

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

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