Open source. Open possibilities.

Darts is a Python library for time-series forecasting and anomaly detection, combining statistical and neural models, probabilistic forecasts, covariates, backtesting, reconciliation, and PyOD-based scoring.

Redis is an open-source in-memory data structure server used as a cache, NoSQL database, message broker, search and vector query engine. The README covers key use cases, data types, client libraries, quick start, and source build instructions.

tsfresh is a Python package for automatic time-series feature extraction and selection, combining statistics, signal processing, and hypothesis testing to generate hundreds of relevant features for machine learning.

Open-source, cloud-native time-series database aimed at IoT, connected vehicles and Industrial IoT, with real-time ingestion, built-in caching and stream processing, distributed clustering, tooling, and an AI agent for forecasting and anomaly detection.