--- title: "nas-env vs autokeras" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gomerudo-nas-env-vs-keras-team-autokeras" tools: ["gomerudo-nas-env", "keras-team-autokeras"] --- # nas-env vs autokeras *GraphCanon updated Aug 4, 2026* ## Verdict Pick nas-env if nas-env offers an OpenAI Gym environment for Neural Architecture Search in Python under MIT license; 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+. [nas-env](https://github.com/gomerudo/nas-env) reports 31 GitHub stars, 3 forks, and 0 open issues, last pushed May 4, 2020. [autokeras](http://autokeras.com/) has 9.3k stars, 1.4k forks, and 161 open issues, last pushed Nov 25, 2025. Figures are from public GitHub metadata via [nas-env's repository](https://github.com/gomerudo/nas-env) and [autokeras's repository](https://github.com/keras-team/autokeras). | | [nas-env](/tools/gomerudo-nas-env.md) | [autokeras](/tools/keras-team-autokeras.md) | | --- | --- | --- | | Tagline | Simple OpenAI Gym environment for Neural Architecture Search (NAS) | AutoML library for deep learning | | Stars | 31 | 9,328 | | Forks | 3 | 1,393 | | Open issues | 0 | 161 | | Language | Python | Python | | Adopt for | nas-env offers an OpenAI Gym environment for Neural Architecture Search in Python under MIT license. | AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [nas-env](/tools/gomerudo-nas-env.md) | [autokeras](/tools/keras-team-autokeras.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 2282d | 251d | | Open issues (now) | 0 | 161 | | Owner type | User | Organization | | Full report | [trust report](/tools/gomerudo-nas-env/trust.md) | [trust report](/tools/keras-team-autokeras/trust.md) | ## Shared compatibility - **Python**: [nas-env](/tools/gomerudo-nas-env.md) - Python runtime; [autokeras](/tools/keras-team-autokeras.md) - Python runtime ## Decision facts: nas-env - **Adopt for:** nas-env offers an OpenAI Gym environment for Neural Architecture Search in Python under MIT license. ## 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+. ## Choose when ### Choose nas-env if… - License: nas-env is MIT, autokeras is Apache-2.0. - Tags unique to nas-env: openai-gym, python, reinforcement-learning. - When you need to implement NAS algorithms using reinforcement learning with compatibility to OpenAI Gym ### Choose autokeras if… - License: autokeras is Apache-2.0, nas-env is MIT. - 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 nas-env - If you require a fully documented package as documentation for nas-env remains under development - During production phases when stability is crucial because nas-env is still undergoing architectural changes ## 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. ## Common questions ### What is the difference between nas-env and autokeras? nas-env: Simple OpenAI Gym environment for Neural Architecture Search (NAS). autokeras: AutoML library for deep learning. See the comparison table for live GitHub stats and shared categories. ### When should I choose nas-env over autokeras? Choose nas-env over autokeras when License: nas-env is MIT, autokeras is Apache-2.0; Tags unique to nas-env: openai-gym, python, reinforcement-learning; When you need to implement NAS algorithms using reinforcement learning with compatibility to OpenAI Gym. ### When should I choose autokeras over nas-env? Choose autokeras over nas-env when License: autokeras is Apache-2.0, nas-env is MIT; 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 avoid nas-env? If you require a fully documented package as documentation for nas-env remains under development During production phases when stability is crucial because nas-env is still undergoing architectural changes ### 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. ### Is nas-env or autokeras more popular on GitHub? autokeras has more GitHub stars (9,328 vs 31). Stars measure visibility, not whether either tool fits your constraints. ### Are nas-env and autokeras open source? Yes - both are open-source projects on GitHub (nas-env: MIT, autokeras: Apache-2.0). ### Where can I find alternatives to nas-env or autokeras? GraphCanon lists graph-backed alternatives at [nas-env alternatives](/tools/gomerudo-nas-env/alternatives) and [autokeras alternatives](/tools/keras-team-autokeras/alternatives) ([nas-env markdown twin](/tools/gomerudo-nas-env/alternatives.md), [autokeras markdown twin](/tools/keras-team-autokeras/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/gomerudo-nas-env-vs-keras-team-autokeras.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, nas-env or autokeras? nas-env: Dormant. autokeras: Slowing. 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 nas-env and autokeras? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [nas-env trust report](/tools/gomerudo-nas-env/trust); [autokeras trust report](/tools/keras-team-autokeras/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=gomerudo-nas-env`](/api/graphcanon/graph?tool=gomerudo-nas-env) - 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/_