Feature Engineering & Indicators

An open source python library for automated feature engineering

The Open Source Feature Store for AI/ML

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Feature engineering and selection open-source Python library compatible with sklearn.

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python

Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.

Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.