prometheus/prometheus
The Prometheus monitoring system and time series database.
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The Prometheus monitoring system and time series database.
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 research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
A time-series database for high-performance real-time analytics packaged as a Postgres extension
📈 A small, fast chart for time series, lines, areas, ohlc & bars
Chronos: Pretrained Models for Time Series Forecasting
QuestDB is a high performance, open-source, time-series database
Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.
ARCH models in Python
Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
The Time Series Visualization Tool that you deserve.
ACID Document Database
A toolkit for time series machine learning and deep learning
Scalable and user friendly neural :brain: forecasting algorithms.
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
The machine learning toolkit for time series analysis in Python
Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust
High-performance, time-indexed object storage for robotics and industrial IoT
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Scalable datastore for metrics, events, and real-time analytics
Synthetic data generation for tabular data
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.
EasyTPP: Towards Open Benchmarking Temporal Point Processes
ultra low latency graph based stream processing framework
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
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