417 Open source projects that are alternatives of or similar to Rrdtool 1.x

TalariaDB is a distributed, highly available, and low latency time-series database for Presto

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

A python library for Bayesian time series modeling

Technical Analysis Library Time-Series

Resampling Tools for Time Series Forecasting with Modeltime

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

Visualize large time-series data in plotly

Stock Analysis Tutorial in Python

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

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

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.

Deep learning meets molecular dynamics.

Collection of several downsampling methods for time series visualisation purposes.

Realtime animated graphs with PubNub and C3.

Various methods for generating synthetic data for data science and ML

A Time Series Data Browser

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

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

A toolkit for working with time series in R

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

Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.

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

Machine Learning Projects

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

Classifying time series using feature extraction

GANs for time series generation in pytorch

Python implementation of soft-DTW.

A well-tuned algorithm to generate & draw support/resistance line on time series. 根据时间序列自动生成支撑线压力线

playing idealized trading games with deep reinforcement learning

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

Algorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.

The Prometheus monitoring system and time series database.

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

Quantitative systematic trading strategy development and backtesting in Julia

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

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

Low-latency algorithmic trading platform written in Rust

Deep Markov Models

Open Source HTTP Reverse Proxy Cache and Time Series Dashboard Accelerator

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

Useful tools for periodicity analysis in time series data.

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

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

A highly scalable real-time graphing system

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

Enables extraction of measurement data from binary files with extension 'raw' used by proprietary software imcFAMOS/imcSTUDIO and facilitates its storage in open source file formats

R interface to X-13ARIMA-SEATS

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

DataFrame Server for Financial Timeseries Data

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

Accumulo backed time series database

KFAS: R Package for Exponential Family State Space Models

An open-source big data platform designed and optimized for the Internet of Things (IoT).

Time Series Metrics Engine based on Cassandra

An overview of univariate time series forecasting models with sample code.

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.

Automatic extraction of relevant features from time series:

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

An aggregating proxy to enable HA prometheus

Python implementation of Empirical Mode Decompoisition (EMD) method