148 Open source projects that are alternatives of or similar to Rrd4j

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

Apache IoTDB

Financial market technical analysis & indicators in Julia

Pinba2: new implementation of https://github.com/tony2001/pinba_engine

Time series data visualization software

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

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

A Multipurpose Library for Synthetic Time Series Generation in Python

QoS Measurement & Dependency Graph Platform

1st place solution

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

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.

Plot in the terminal using braille dots.

Immutable timeseries data structures built with Typescript

SAX-VSM public release, visit our website for detail

Extending broom for time series forecasting

Python driver for MarketStore

Future development of redis-timeseries is at github.com/RedisLabsModules/redis-timeseries.

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

Fast scalable time series database

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

InfluxDB 2.0 python client

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

python implementations of Analyzing Neural Time Series Textbook

Administration panel and querying interface for InfluxDB databases. (Electron app / Docker container)

Plotting and logging of real-time data for desktop.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Downsample plugin for Flot charts.

Keras implementation of video classifier

Time series analysis in Java

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

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

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

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

Graphite InfluxDB backend. InfluxDB storage finder / plugin for Graphite API.

Time-aware tibbles

R interface to fast.ai

Graphite metrics receiver with ClickHouse as storage

Kibana Alert & Report App for Elasticsearch

Twitter's Anomaly Detection in Pure Python

Java implementation of SAX, HOT-SAX, and EMMA

InfluxDB 2.0 C# Client

ReactJS component for FusionCharts JavaScript Charting library.

Metrics Query Engine

Time series based anomaly detector

Stock Analysis Tutorial in Python

Distributed "massively parallel" SQL query engine

High performance datastore for time series and tick data

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

A machine learning toolkit dedicated to time-series data

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Hastic data management server for labeling patterns and anomalies in Grafana

Anomaly detection for streaming data using autoencoders

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

fastai V2 implementation of Timeseries classification papers.

Variational Recurrent Autoencoder for timeseries clustering in pytorch

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

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