--- title: "autokeras vs modelfox" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/keras-team-autokeras-vs-modelfoxdotdev-modelfox" tools: ["keras-team-autokeras", "modelfoxdotdev-modelfox"] --- # autokeras vs modelfox *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 modelfox if modelFox streamlines ML model training and deployment with support for multiple programming languages like Rust, Python, Elixir, Go, JavaScript, and Ruby. [autokeras](http://autokeras.com/) reports 9.3k GitHub stars, 1.4k forks, and 161 open issues, last pushed Nov 25, 2025. [modelfox](https://github.com/modelfoxdotdev/modelfox) has 1.5k stars, 64 forks, and 39 open issues, last pushed Aug 2, 2024. Figures are from public GitHub metadata via [autokeras's repository](https://github.com/keras-team/autokeras) and [modelfox's repository](https://github.com/modelfoxdotdev/modelfox). | | [autokeras](/tools/keras-team-autokeras.md) | [modelfox](/tools/modelfoxdotdev-modelfox.md) | | --- | --- | --- | | Tagline | AutoML library for deep learning | ModelFox simplifies machine learning model training and deployment. | | Stars | 9,328 | 1,467 | | Forks | 1,393 | 64 | | Open issues | 161 | 39 | | Language | Python | Rust | | 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+. | ModelFox streamlines ML model training and deployment with support for multiple programming languages like Rust, Python, Elixir, Go, JavaScript, and Ruby. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT licensed with restrictions on the 'crates/app' directory for production use, requiring a paid license. | | Categories | Developer Tools, Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autokeras](/tools/keras-team-autokeras.md) | [modelfox](/tools/modelfoxdotdev-modelfox.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 251d | 731d | | Open issues (now) | 161 | 39 | | Full report | [trust report](/tools/keras-team-autokeras/trust.md) | [trust report](/tools/modelfoxdotdev-modelfox/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: modelfox - **Pricing:** freemium - Free to test, requires paid licenses for production deployment of certain components. - **Adopt for:** ModelFox streamlines ML model training and deployment with support for multiple programming languages like Rust, Python, Elixir, Go, JavaScript, and Ruby. - **License detail:** MIT licensed with restrictions on the 'crates/app' directory for production use, requiring a paid license. ## Choose when ### Choose autokeras if… - autokeras is primarily Python; modelfox is Rust. - License: autokeras is Apache-2.0, modelfox is Other. - Tags unique to autokeras: autodl, deep-learning, keras, neural-architecture-search. - When your project involves deep learning tasks requiring minimal manual intervention in designing models. ### Choose modelfox if… - modelfox is primarily Rust; autokeras is Python. - License: modelfox is Other, autokeras is Apache-2.0. - Pricing: Free to test, requires paid licenses for production deployment of certain components.. - Tags unique to modelfox: elixir-lang, golang, javascript, mlops. - If you are looking to integrate machine learning models across a variety of programming environments such as Rust or JavaScript without the complexity of language-specific frameworks ## 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 modelfox - If you require open-source licensing for all components without exceptions since some parts like the crates/app directory need a paid license for production use - For projects that specifically avoid Rust as their primary language or environment, as ModelFox primarily leverages Rust and its ecosystem ## Common questions ### What is the difference between autokeras and modelfox? autokeras: AutoML library for deep learning. modelfox: ModelFox simplifies machine learning model training and deployment.. See the comparison table for live GitHub stats and shared categories. ### When should I choose autokeras over modelfox? Choose autokeras over modelfox when autokeras is primarily Python; modelfox is Rust; License: autokeras is Apache-2.0, modelfox is Other; Tags unique to autokeras: autodl, deep-learning, keras, neural-architecture-search; When your project involves deep learning tasks requiring minimal manual intervention in designing models. ### When should I choose modelfox over autokeras? Choose modelfox over autokeras when modelfox is primarily Rust; autokeras is Python; License: modelfox is Other, autokeras is Apache-2.0; Pricing: Free to test, requires paid licenses for production deployment of certain components.; Tags unique to modelfox: elixir-lang, golang, javascript, mlops; If you are looking to integrate machine learning models across a variety of programming environments such as Rust or JavaScript without the complexity of language-specific frameworks. ### 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 modelfox? If you require open-source licensing for all components without exceptions since some parts like the crates/app directory need a paid license for production use For projects that specifically avoid Rust as their primary language or environment, as ModelFox primarily leverages Rust and its ecosystem ### Is autokeras or modelfox more popular on GitHub? autokeras has more GitHub stars (9,328 vs 1,467). Stars measure visibility, not whether either tool fits your constraints. ### Are autokeras and modelfox open source? Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, modelfox: Other). ### Where can I find alternatives to autokeras or modelfox? GraphCanon lists graph-backed alternatives at [autokeras alternatives](/tools/keras-team-autokeras/alternatives) and [modelfox alternatives](/tools/modelfoxdotdev-modelfox/alternatives) ([autokeras markdown twin](/tools/keras-team-autokeras/alternatives.md), [modelfox markdown twin](/tools/modelfoxdotdev-modelfox/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-modelfoxdotdev-modelfox.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autokeras or modelfox? autokeras: Slowing. modelfox: 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 modelfox? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autokeras trust report](/tools/keras-team-autokeras/trust); [modelfox trust report](/tools/modelfoxdotdev-modelfox/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/_