For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
-
Updated
Apr 13, 2026 - C
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
The Prometheus monitoring system and time series database.
Scalable datastore for metrics, events, and real-time analytics
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
A time-series database for high-performance real-time analytics packaged as a Postgres extension
QuestDB is a high performance, open-source, time-series database
Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
Nightingale is to monitoring and alerting what Grafana is to visualization.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Fast and Accurate ML in 3 Lines of Code
📈 A small, fast chart for time series, lines, areas, ohlc & bars
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
An open-source, low-code machine learning library in Python
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
Automatic extraction of relevant features from time series:
An open-source and enterprise-level monitoring system.
The backtesting engine that gives you an unfair advantage. Test thousands of trading ideas in the time others test one.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
All-in-One Development Tool based on PaddlePaddle
Add a description, image, and links to the time-series topic page so that developers can more easily learn about it.
To associate your repository with the time-series topic, visit your repo's landing page and select "manage topics."