266 feast(1) - Kailash Tool Reference
266.1 feast
feast - Feast — the open-source feature store for AI/ML.
| Layer | OPS |
| Category | o-01-mlops-ml-engineering |
| Safety class | safe |
| Licence | Apache-2.0 |
| Upstream | github.com/feast-dev/feast |
266.1.1 NAME
feast - Feast — the open-source feature store for AI/ML.
266.1.2 SYNOPSIS & usage
Derived from the upstream README at generation time; verify against --help where the tool is installed.
pip install feastfeast init my_feature_repo
cd my_feature_repo/feature_repo266.1.3 DESCRIPTION (upstream)
👋👋👋 Come say hi on Slack! Feast (Feature Store) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference. Feast allows ML platform teams to: * Make features consistently available for training and serving by managing an offline store (to process historical data for scale-out batch scoring or model training), a low-latency online store (to power real-time prediction), and a battle-tested feature server (to serve pre-computed features online). * Avoid data leakage by generating point-in-time correct feature sets so d
266.1.4 CONFIGURATION (detected)
Config-surface markers detected in the upstream README (6 matches, e.g. unit_tests.yml, unit_tests.yml). A full config reference page for this tool is queued under the config-page policy — this line is the detection record, not the page.
266.1.5 SEE ALSO
- Category: o-01-mlops-ml-engineering in the category directory (sister tools listed there).
- Configuration reference — files, environment variables, samples.
ref: pin - verified 2026-10-14