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

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

Axibase Time Series Database Documentation

The Most Advanced Time Series Platform

An OpenTSDB-like time series database, with much better performance.

The Heroic Time Series Database

ZestDB

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

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

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

Time-series database

An open source SQL database designed to process time series data, faster

A time series database prototype with multiple backends

The official QuestDB website, database documentation and blog.

💡 A Distributed and High-Performance Monitoring System. Prometheus enterprise edition

🌊 Numerically solving and backpropagating through the wave equation

Vulcan extends Prometheus adding horizontal scalability and long-term storage

An ultra-lightweight database that supports key-value and time series data | 一款支持 KV 数据和时序数据的超轻量级数据库

sktime companion package for deep learning based on TensorFlow

ELKI Data Mining Toolkit

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

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

Collection of useful data science topics along with code and articles

Time Series in Go and PostgreSQL

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

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

Bringing financial analysis to the tidyverse

Kaggle | Web Traffic Forecasting 📈

Fully Convlutional Neural Networks for state-of-the-art time series classification

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

Highly comparative time-series analysis

Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data

A unified framework for machine learning with time series

A Python toolkit for rule-based/unsupervised anomaly detection in time series

Fast and flexible Gaussian Process regression in Python

Fastest Integer Compression

A python library for Bayesian time series modeling

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.

A toolkit for working with time series in R

Low-latency algorithmic trading platform written in Rust

A highly scalable real-time graphing system

Accumulo backed time series database

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

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

ARCH models in Python

Distributable time-series database (not actively maintained)

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

Ruby client for InfluxDB

M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform

Machine Learning on Sequential Data Using a Recurrent Weighted Average

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.

DeltaPy - Tabular Data Augmentation (by @firmai)

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

Python module for machine learning time series:

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

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

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

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.

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Axibase Time Series Database: Usage Examples and Research Articles

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend