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

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

[WIP] DiamonDB: Rebuild of time series database on AWS.

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Stock Analysis Tutorial in Python

Automatic extraction of relevant features from time series:

📈 Keras implementation of the Deep Temporal Clustering (DTC) model

Bringing financial analysis to the tidyverse

Hurst exponent evaluation and R/S-analysis in Python

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

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

ELKI Data Mining Toolkit

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

Kaggle | Web Traffic Forecasting 📈

R interface to X-13ARIMA-SEATS

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 analysis in Java

An aggregating proxy to enable HA prometheus

DataFrame Server for Financial Timeseries Data

Fastest Integer Compression

Deep learning meets molecular dynamics.

🕖 A curated list of awesome time series databases, benchmarks and papers

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

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

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

Scalable datastore for metrics, events, and real-time analytics

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

Python module for machine learning time series:

Realtime animated graphs with PubNub and C3.

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

Implementation of soft dynamic time warping in pytorch

Python implementation of Empirical Mode Decompoisition (EMD) method

scikit-learn-inspired time series

🌊 Numerically solving and backpropagating through the wave equation

TSrepr: R package for time series representations

Fast and flexible Gaussian Process regression in Python

A Time Series Data Browser

A python library for Bayesian time series modeling

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

A toolkit for working with time series in R

Extending broom for time series forecasting

Low-latency algorithmic trading platform written in Rust

A Python library for time series forecasting

Accumulo backed time series database

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

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

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

Distributable time-series database (not actively maintained)

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

DeltaPy - Tabular Data Augmentation (by @firmai)

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

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

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

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

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

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