--- title: "autokeras vs archai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/keras-team-autokeras-vs-microsoft-archai" tools: ["keras-team-autokeras", "microsoft-archai"] --- # autokeras vs archai *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 archai if archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch. [autokeras](http://autokeras.com/) reports 9.3k GitHub stars, 1.4k forks, and 161 open issues, last pushed Nov 25, 2025. [archai](https://microsoft.github.io/archai) has 485 stars, 93 forks, and 4 open issues, last pushed Nov 24, 2025. Figures are from public GitHub metadata via [autokeras's repository](https://github.com/keras-team/autokeras) and [archai's repository](https://github.com/microsoft/archai). | | [autokeras](/tools/keras-team-autokeras.md) | [archai](/tools/microsoft-archai.md) | | --- | --- | --- | | Tagline | AutoML library for deep learning | Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research. | | Stars | 9,328 | 485 | | Forks | 1,393 | 93 | | Open issues | 161 | 4 | | Language | Python | Python | | 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+. | Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | 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) | [archai](/tools/microsoft-archai.md) | | --- | --- | --- | | Days since push | 251d | 252d | | Open issues (now) | 161 | 4 | | Full report | [trust report](/tools/keras-team-autokeras/trust.md) | [trust report](/tools/microsoft-archai/trust.md) | ## Shared compatibility - **Python**: [autokeras](/tools/keras-team-autokeras.md) - Python runtime; [archai](/tools/microsoft-archai.md) - Python runtime ## 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: archai - **Adopt for:** Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch. ## Choose when ### Choose autokeras if… - License: autokeras is Apache-2.0, archai is MIT. - Tags unique to autokeras: autodl, keras, machine-learning, tensorflow. - Also covers Developer Tools. - When your project involves deep learning tasks requiring minimal manual intervention in designing models. ### Choose archai if… - License: archai is MIT, autokeras is Apache-2.0. - Tags unique to archai: automated-machine-learning, darts, hyperparameter-optimization, model-compression. - Need rapid iteration in NAS projects while ensuring reproducibility ## 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 archai - Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions - Development occurs outside Python 3.8+, limiting the application of Archai tools ## Common questions ### What is the difference between autokeras and archai? autokeras: AutoML library for deep learning. archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. See the comparison table for live GitHub stats and shared categories. ### When should I choose autokeras over archai? Choose autokeras over archai when License: autokeras is Apache-2.0, archai is MIT; Tags unique to autokeras: autodl, keras, machine-learning, tensorflow; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models. ### When should I choose archai over autokeras? Choose archai over autokeras when License: archai is MIT, autokeras is Apache-2.0; Tags unique to archai: automated-machine-learning, darts, hyperparameter-optimization, model-compression; Need rapid iteration in NAS projects while ensuring reproducibility. ### 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 archai? Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions Development occurs outside Python 3.8+, limiting the application of Archai tools ### Is autokeras or archai more popular on GitHub? autokeras has more GitHub stars (9,328 vs 485). Stars measure visibility, not whether either tool fits your constraints. ### Are autokeras and archai open source? Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, archai: MIT). ### Where can I find alternatives to autokeras or archai? GraphCanon lists graph-backed alternatives at [autokeras alternatives](/tools/keras-team-autokeras/alternatives) and [archai alternatives](/tools/microsoft-archai/alternatives) ([autokeras markdown twin](/tools/keras-team-autokeras/alternatives.md), [archai markdown twin](/tools/microsoft-archai/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-microsoft-archai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autokeras or archai? autokeras: Slowing. archai: 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 autokeras and archai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autokeras trust report](/tools/keras-team-autokeras/trust); [archai trust report](/tools/microsoft-archai/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/_