# feathr-ai/feathr

Feathr – A scalable, unified data and AI engineering platform for enterprise

Repository: https://github.com/feathr-ai/feathr
Canonical: https://ross.abutalabs.com/products/feathr
Homepage: https://join.slack.com/t/feathrai/shared_invite/zt-1ffva5u6v-voq0Us7bbKAw873cEzHOSg
Language: Scala
License: Apache-2.0
License Family: permissive
Topics: feature-engineering, feature-store, artificial-intelligence, mlops, data-engineering, data-quality, machine-learning, apache-spark, azure, data-science, feature-management, feature-marketplace, feature-governance, feature-metadata, feature-platform
Last push: 2024-04-04T19:17:41+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1657, "days_push": 881, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1938, forks 246 (observed 2026-08-28T04:05:57.220855+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- feathr-ai/feathr (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:57.220855+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.