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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

Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.

QuestDB is a high performance, open-source, time-series database

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 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:

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

A highly scalable real-time graphing system

Chronos: Pretrained Models for Time Series Forecasting

Probabilistic time series modeling in Python

Lightning ⚡️ fast forecasting with statistical and econometric models.

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 and user friendly neural :brain: forecasting algorithms.

Synthetic data generation for tabular data

The machine learning toolkit for time series analysis in Python

Algorithms for outlier, adversarial and drift detection

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

Open source framework for processing, monitoring, and alerting on time series data

Open source time series library for Python

Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easier but also ensure the quality of applications.

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Synthetic data generators for tabular and time-series data

ARCH models in Python