509 Open source projects that are alternatives of or similar to Stl Decomp 4j

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

1st place solution

A machine learning toolkit dedicated to time-series data

Financial market technical analysis & indicators in Julia

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

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.

Library which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.

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

Downsample plugin for Flot charts.

Time Series Ensemble Forecasting

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

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.

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

Extending broom for time series forecasting

Time series analysis in Java

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

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

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

Solution to Kaggle - Web Traffic Time Series Forecasting

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

A Multipurpose Library for Synthetic Time Series Generation in Python

If you can measure it, consider it predicted

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

A toolkit for working with time series in R

A python library for Bayesian time series modeling

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

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.

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

Timeseries database

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

Time-aware tibbles

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

Predict time-series with one line of code.

Stock Analysis Tutorial in Python

Collection of several downsampling methods for time series visualisation purposes.

Bringing financial analysis to the tidyverse

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

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

Time series data visualization software

TrailDB is an efficient tool for storing and querying series of events

Plotting and logging of real-time data for desktop.

Axibase Time Series Database Documentation

📈 Python interface for the Brazilian Central Bank's Time Series Management System (SGS)

Interpolation-Prediction Networks for Irregularly Sampled Time Series

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

Talk at PyCon UA 2018 (Kharkov, Ukraine)

A Java package to automatically detect anomalies in large scale time-series 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.

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

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

The Perfect Python Project Template. Bored of coding anew the same thing for your new Python projects? Here is what you need. Click below on the "use this template" green button to start using it instantly. Rename the "project" folder and all references to this folder to customize your project name.

Yuvi is an in-memory storage engine for recent time series metrics data.

Go Share your TimeSeries/NameSpace/KeyVal DataStore (using leveldb) over HTTP &/or ZeroMQ

Solution to Corporación Favorita Grocery Sales Forecasting Competition

A Time Series Library for Apache Spark

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

A tool for generating random, yet realistic, time series values

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

An environmental monitoring and regulation system

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