Comparison
feast vs automl-gs
Verdict
Pick feast if feast, an open-source feature store for AI/ML, facilitates efficient management and retrieval of features used in machine learning models; pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data.
Markdown twin · feast alternatives · automl-gs alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | feast | automl-gs |
|---|---|---|
| Maintenance | Very active (2d since push) As of 2w · github_public_v1 | Dormant (2477d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- feast
- The Open Source Feature Store for AI/ML
- automl-gs
- Automatically generate machine-learning models and code with input CSV and target field
Stars
- feast
- 7.2k
- automl-gs
- 1.9k
Forks
- feast
- 1.4k
- automl-gs
- 181
Open issues
- feast
- 390
- automl-gs
- 28
Language
- feast
- Python
- automl-gs
- Python
Adopt for
- feast
- Feast, an open-source feature store for AI/ML, facilitates efficient management and retrieval of features used in machine learning models.
- automl-gs
- automl-gs: Python tool for automated machine-learning model creation from CSV data
Persona
- feast
- -
- automl-gs
- -
Runtime
- feast
- -
- automl-gs
- -
License
- feast
- Apache-2.0
- automl-gs
- MIT
Last pushed
- feast
- Jul 31, 2026
- automl-gs
- Oct 22, 2019
Categories
- feast
- Data & Retrieval
- automl-gs
- Data & Retrieval, Model Training
Trust and health
Maintenance
- feast
- Very active (96%)
- automl-gs
- Dormant (18%)
Days since push
- feast
- 2d
- automl-gs
- 2477d
Open issues (now)
- feast
- 390
- automl-gs
- 28
Owner type
- feast
- Organization
- automl-gs
- User
Full report
- feast
- Trust report
- automl-gs
- Trust report
Choose feast if…
- License: feast is Apache-2.0, automl-gs is MIT.
- Tags unique to feast: big-data, data-engineering, data-quality, data-science.
- Use Feast when your project requires versioning of features to support experimentation and model evolution over time, as it allows you to seamlessly retrieve historical feature data.
When NOT to use feast
- Avoid Feast in scenarios where your project needs are minimal, such as smaller datasets or simpler projects that do not require the overhead of feature versioning or management.
- Do not use Feast if you prefer a more generalized data storage solution without specific features geared towards ML feature management. Competitors might be better for broader data manipulation tasks.
Choose automl-gs if…
- License: automl-gs is MIT, feast is Apache-2.0.
- Tags unique to automl-gs: automl, keras, python, tensorflow.
- Also covers Model Training.
- Need to rapidly prototype models with limited ML expertise
When NOT to use automl-gs
- Complex feature engineering or non-standard data inputs required
- Sensitive about licensing of the generated code
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (feast-dev/feast) · observed Aug 3, 2026
- GitHub forks (feast-dev/feast) · observed Aug 3, 2026
- Last push (feast-dev/feast) · observed Jul 31, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (minimaxir/automl-gs) · observed Aug 4, 2026
- GitHub forks (minimaxir/automl-gs) · observed Aug 4, 2026
- Last push (minimaxir/automl-gs) · observed Oct 22, 2019
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: feast 7.2k · automl-gs 1.9k (synced Aug 3, 2026).
Common questions
- What is the difference between feast and automl-gs?
- feast: The Open Source Feature Store for AI/ML. automl-gs: Automatically generate machine-learning models and code with input CSV and target field. See the comparison table for live GitHub stats and shared categories.
- When should I choose feast over automl-gs?
- Choose feast over automl-gs when License: feast is Apache-2.0, automl-gs is MIT; Tags unique to feast: big-data, data-engineering, data-quality, data-science; Use Feast when your project requires versioning of features to support experimentation and model evolution over time, as it allows you to seamlessly retrieve historical feature data.
- When should I choose automl-gs over feast?
- Choose automl-gs over feast when License: automl-gs is MIT, feast is Apache-2.0; Tags unique to automl-gs: automl, keras, python, tensorflow; Also covers Model Training; Need to rapidly prototype models with limited ML expertise.
- When should I avoid feast?
- Avoid Feast in scenarios where your project needs are minimal, such as smaller datasets or simpler projects that do not require the overhead of feature versioning or management. Do not use Feast if you prefer a more generalized data storage solution without specific features geared towards ML feature management. Competitors might be better for broader data manipulation tasks.
- When should I avoid automl-gs?
- Complex feature engineering or non-standard data inputs required Sensitive about licensing of the generated code
- Is feast or automl-gs more popular on GitHub?
- feast has more GitHub stars (7,188 vs 1,869). Stars measure visibility, not whether either tool fits your constraints.
- Are feast and automl-gs open source?
- Yes - both are open-source projects on GitHub (feast: Apache-2.0, automl-gs: MIT).
- Where can I find alternatives to feast or automl-gs?
- GraphCanon lists graph-backed alternatives at feast alternatives and automl-gs alternatives (feast markdown twin, automl-gs markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, feast or automl-gs?
- feast: Very active. automl-gs: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for feast and automl-gs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: feast trust report; automl-gs trust report.