Comparison
autokeras vs modeldb
Verdict
Pick autokeras if autoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+; pick modeldb if modelDB caters to Java developers focusing on open-source solutions for managing machine-learning model versions and experiments with Apache 2.0 licensing.
Markdown twin · autokeras alternatives · modeldb alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | autokeras | modeldb |
|---|---|---|
| Maintenance | Slowing (251d since push) As of 3w · github_public_v1 | Dormant (741d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- autokeras
- AutoML library for deep learning
- modeldb
- Open Source ML Model Versioning Metadata and Experiment Management
Stars
- autokeras
- 9.3k
- modeldb
- 1.7k
Forks
- autokeras
- 1.4k
- modeldb
- 289
Open issues
- autokeras
- 161
- modeldb
- 194
Language
- autokeras
- Python
- modeldb
- Java
Adopt for
- autokeras
- AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
- modeldb
- ModelDB caters to Java developers focusing on open-source solutions for managing machine-learning model versions and experiments with Apache 2.0 licensing.
Persona
- autokeras
- -
- modeldb
- -
Runtime
- autokeras
- -
- modeldb
- -
License
- autokeras
- Apache-2.0
- modeldb
- Apache-2.0
Last pushed
- autokeras
- Nov 25, 2025
- modeldb
- Jul 23, 2024
Categories
- autokeras
- Developer Tools, Model Training
- modeldb
- Model Training
Trust and health
Maintenance
- autokeras
- Slowing (36%)
- modeldb
- Dormant (18%)
Days since push
- autokeras
- 251d
- modeldb
- 741d
Open issues (now)
- autokeras
- 161
- modeldb
- 194
OSV dependency advisories
- autokeras
- No lockfile (source not queried)
- modeldb
- Published findings
Full report
- autokeras
- Trust report
- modeldb
- Trust report
Choose autokeras if…
- autokeras is primarily Python; modeldb is Java.
- Tags unique to autokeras: autodl, automl, deep-learning, keras.
- Also covers Developer Tools.
- When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When NOT to use autokeras
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible.
- If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
Choose modeldb if…
- modeldb is primarily Java; autokeras is Python.
- Tags unique to modeldb: model-management, model-versioning.
- Use ModelDB for projects where you need an open-source solution that supports Java applications and focuses on detail-rich management of ML models, metadata, and experiments.
When NOT to use modeldb
- Avoid ModelDB if the project primarily uses languages other than Java, as this could limit accessibility and integrate poorly without additional support systems.
- Not recommended if your team requires specialized features for real-time model deployment or continuous integration that are not emphasized by ModelDB.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (keras-team/autokeras) · observed Aug 4, 2026
- GitHub forks (keras-team/autokeras) · observed Aug 4, 2026
- Last push (keras-team/autokeras) · observed Nov 25, 2025
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (VertaAI/modeldb) · observed Aug 4, 2026
- GitHub forks (VertaAI/modeldb) · observed Aug 4, 2026
- Last push (VertaAI/modeldb) · observed Jul 23, 2024
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autokeras 9.3k · modeldb 1.7k (synced Aug 4, 2026).
Common questions
- What is the difference between autokeras and modeldb?
- autokeras: AutoML library for deep learning. modeldb: Open Source ML Model Versioning Metadata and Experiment Management. See the comparison table for live GitHub stats and shared categories.
- When should I choose autokeras over modeldb?
- Choose autokeras over modeldb when autokeras is primarily Python; modeldb is Java; Tags unique to autokeras: autodl, automl, deep-learning, keras; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
- When should I choose modeldb over autokeras?
- Choose modeldb over autokeras when modeldb is primarily Java; autokeras is Python; Tags unique to modeldb: model-management, model-versioning; Use ModelDB for projects where you need an open-source solution that supports Java applications and focuses on detail-rich management of ML models, metadata, and experiments.
- When should I avoid autokeras?
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
- When should I avoid modeldb?
- Avoid ModelDB if the project primarily uses languages other than Java, as this could limit accessibility and integrate poorly without additional support systems. Not recommended if your team requires specialized features for real-time model deployment or continuous integration that are not emphasized by ModelDB.
- Is autokeras or modeldb more popular on GitHub?
- autokeras has more GitHub stars (9,328 vs 1,749). Stars measure visibility, not whether either tool fits your constraints.
- Are autokeras and modeldb open source?
- Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, modeldb: Apache-2.0).
- Where can I find alternatives to autokeras or modeldb?
- GraphCanon lists graph-backed alternatives at autokeras alternatives and modeldb alternatives (autokeras markdown twin, modeldb 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, autokeras or modeldb?
- autokeras: Slowing. modeldb: 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 autokeras and modeldb?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autokeras trust report; modeldb trust report.