feast-dev/feast
The Open Source Feature Store for AI/ML
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
2 releases in the last 90 days, the latest 25 days ago, with 390 contributors on GitHub.
Use Cases & Benefits
- Provides an open source feature store to manage and serve machine learning features for training and real-time inference.
- Ensures consistent, point-in-time correct feature availability across offline and online stores to prevent data leakage and simplify ML infrastructure.
- Use for building scalable ML pipelines that require unified feature management across batch training and low-latency serving environments.
- Use for integrating diverse data sources and storage backends like Snowflake, BigQuery, Redis, and DynamoDB in a single feature platform.
- Use for enabling data scientists to focus on feature engineering by abstracting complex data joins and providing a single access layer.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
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.
Please see our documentation for more information about the project.
The above architecture is the minimal Feast deployment. Want to run the full Feast on Snowflake/GCP/AWS? Click here.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.5K+93
Open issues
430+26
Compared with peers in Data Engineering
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vectordotdev/vector | 22.8K | — | 64 | 11 days ago |
| ThreeDotsLabs/watermill | 10.0K | — | 56 | 76 days ago |
| OpenDCAI/DataFlow | 8.5K | — | 54 | 10 days ago |
| feast-dev/feast | 7.4K | — | 64 | 25 days ago |
| Eventual-Inc/Daft | 5.8K | — | 65 | 3 days ago |
| ruc-datalab/DeepAnalyze | 4.8K | — | 15 | — |
| Category median | 8.5K | — | 56 | — |
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