--- title: "autokeras vs modeldb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/keras-team-autokeras-vs-vertaai-modeldb" tools: ["keras-team-autokeras", "vertaai-modeldb"] --- # autokeras vs modeldb *GraphCanon updated Aug 4, 2026* ## 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. [autokeras](http://autokeras.com/) reports 9.3k GitHub stars, 1.4k forks, and 161 open issues, last pushed Nov 25, 2025. [modeldb](https://github.com/VertaAI/modeldb) has 1.7k stars, 289 forks, and 194 open issues, last pushed Jul 23, 2024. Figures are from public GitHub metadata via [autokeras's repository](https://github.com/keras-team/autokeras) and [modeldb's repository](https://github.com/VertaAI/modeldb). | | [autokeras](/tools/keras-team-autokeras.md) | [modeldb](/tools/vertaai-modeldb.md) | | --- | --- | --- | | Tagline | AutoML library for deep learning | Open Source ML Model Versioning Metadata and Experiment Management | | Stars | 9,328 | 1,749 | | Forks | 1,393 | 289 | | Open issues | 161 | 194 | | Language | Python | Java | | Adopt for | AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+. | ModelDB caters to Java developers focusing on open-source solutions for managing machine-learning model versions and experiments with Apache 2.0 licensing. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autokeras](/tools/keras-team-autokeras.md) | [modeldb](/tools/vertaai-modeldb.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 251d | 741d | | Open issues (now) | 161 | 194 | | Full report | [trust report](/tools/keras-team-autokeras/trust.md) | [trust report](/tools/vertaai-modeldb/trust.md) | ## Decision facts: autokeras - **Adopt for:** AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+. ## Decision facts: modeldb - **Adopt for:** ModelDB caters to Java developers focusing on open-source solutions for managing machine-learning model versions and experiments with Apache 2.0 licensing. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/keras-team-autokeras/alternatives) and [modeldb alternatives](/tools/vertaai-modeldb/alternatives) ([autokeras markdown twin](/tools/keras-team-autokeras/alternatives.md), [modeldb markdown twin](/tools/vertaai-modeldb/alternatives.md)), 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](/compare/keras-team-autokeras-vs-vertaai-modeldb.md) 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](/tools/keras-team-autokeras/trust); [modeldb trust report](/tools/vertaai-modeldb/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=keras-team-autokeras`](/api/graphcanon/graph?tool=keras-team-autokeras) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_