455 Open source projects that are alternatives of or similar to Hurst

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.

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

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

A Python Package For System Identification Using NARMAX Models

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Poor man's time series functionality for PostgreSQL

Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)

Cellular Automata Simulator

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

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

Extending broom for time series forecasting

Interactive Mandelbrot set on GPU with Python

Highly comparative time-series analysis

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

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

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

A unified framework for machine learning with time series

Wavefront plugin for go-metrics

Annotation of ECG signals using deep learning, tensorflow’ Keras

Dynamic Time Warping in Python / C (using ctypes)

sktime companion package for deep learning based on TensorFlow

Time Series Ensemble Forecasting

Generate colorful wallpapers!

Bayesian Generalized Linear Models with Time-Varying Coefficients

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Iterated Function Systems fractals with OCaml.

Imhotep is a large-scale analytics platform built by Indeed.

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

Collection of useful data science topics along with code and articles

Example of order book modeling.

Talk at PyCon UA 2018 (Kharkov, Ukraine)

A Java library for Matrix Profile

Synthetic Data Generation for tabular, relational and time series data.

Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

Grid Solutions Framework

Some code snippets for GIS tasks

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

Starter kit for Fractal with SCSS, Webpack, XO, sass-lint and Gulp

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

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

Series and Panels for Real-time and Exploratory Analysis of Data Streams

LSTM Mobility Model implementation using Tensorflow

An easy to use Fractal wrapper built for Laravel and Lumen applications

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Ruby client for InfluxDB

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

An implementation of soft-DTW divergences.

Official code for UnICORNN (ICML 2021)

Code for "Neural Controlled Differential Equations for Irregular Time Series"

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.

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

Anomaly detection tutorial on univariate time series with an auto-encoder

Tutorial Sessions for SciPy Con 2019

An End-to-end Outlier Detection System

A Python toolbox for gaining geometric insights into high-dimensional data

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

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

Automatic extraction of relevant features from time series:

Resources for working with time series and sequence data