--- title: "autokeras vs mmengine" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/keras-team-autokeras-vs-open-mmlab-mmengine" tools: ["keras-team-autokeras", "open-mmlab-mmengine"] --- # autokeras vs mmengine *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 mmengine if mMEngine, part of OpenMMLab, serves as a foundational library for training deep learning models with PyTorch in Python. [autokeras](http://autokeras.com/) reports 9.3k GitHub stars, 1.4k forks, and 161 open issues, last pushed Nov 25, 2025. [mmengine](https://mmengine.readthedocs.io/) has 1.5k stars, 455 forks, and 260 open issues, last pushed Jul 13, 2026. Figures are from public GitHub metadata via [autokeras's repository](https://github.com/keras-team/autokeras) and [mmengine's repository](https://github.com/open-mmlab/mmengine). | | [autokeras](/tools/keras-team-autokeras.md) | [mmengine](/tools/open-mmlab-mmengine.md) | | --- | --- | --- | | Tagline | AutoML library for deep learning | OpenMMLab Foundational Library for Training Deep Learning Models | | Stars | 9,328 | 1,482 | | Forks | 1,393 | 455 | | Open issues | 161 | 260 | | 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+. | MMEngine, part of OpenMMLab, serves as a foundational library for training deep learning models with PyTorch in Python. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MMEngine is distributed under the Apache 2.0 License. | | 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) | [mmengine](/tools/open-mmlab-mmengine.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 251d | 18d | | Open issues (now) | 161 | 260 | | Full report | [trust report](/tools/keras-team-autokeras/trust.md) | [trust report](/tools/open-mmlab-mmengine/trust.md) | ## Shared compatibility - **Python**: [autokeras](/tools/keras-team-autokeras.md) - Python runtime; [mmengine](/tools/open-mmlab-mmengine.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: mmengine - **Pricing:** freemium - The core functionality for model training offered through MMEngine is accessible without cost due to its licensing terms (Apache 2.0). - **Adopt for:** MMEngine, part of OpenMMLab, serves as a foundational library for training deep learning models with PyTorch in Python. - **License detail:** MMEngine is distributed under the Apache 2.0 License. ## Choose when ### Choose autokeras if… - Tags unique to autokeras: autodl, automl, keras, neural-architecture-search. - Also covers Developer Tools. - When your project involves deep learning tasks requiring minimal manual intervention in designing models. ### Choose mmengine if… - Pricing: The core functionality for model training offered through MMEngine is accessible without cost due to its licensing terms (Apache 2.0).. - Tags unique to mmengine: ai, computer-vision, python, pytorch. - - Use MMEngine when you are leveraging PyTorch and require a solid foundation for your deep learning model training processes. ## 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 mmengine - - Avoid using MMEngine if your project requires a Python version outside of the supported range (e.g., Python 3.12+). - - If you are working with frameworks other than PyTorch, MMEngine might not be suitable as it is specifically optimized for PyTorch support. - - Consider an alternative if you are looking for more flexibility beyond the specific use cases catered to by OpenMMLab and do not want to be tied into their ecosystem. ## Common questions ### What is the difference between autokeras and mmengine? autokeras: AutoML library for deep learning. mmengine: OpenMMLab Foundational Library for Training Deep Learning Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose autokeras over mmengine? Choose autokeras over mmengine when Tags unique to autokeras: autodl, automl, keras, neural-architecture-search; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models. ### When should I choose mmengine over autokeras? Choose mmengine over autokeras when Pricing: The core functionality for model training offered through MMEngine is accessible without cost due to its licensing terms (Apache 2.0).; Tags unique to mmengine: ai, computer-vision, python, pytorch; - Use MMEngine when you are leveraging PyTorch and require a solid foundation for your deep learning model training processes. ### 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 mmengine? - Avoid using MMEngine if your project requires a Python version outside of the supported range (e.g., Python 3.12+). - If you are working with frameworks other than PyTorch, MMEngine might not be suitable as it is specifically optimized for PyTorch support. - Consider an alternative if you are looking for more flexibility beyond the specific use cases catered to by OpenMMLab and do not want to be tied into their ecosystem. ### Is autokeras or mmengine more popular on GitHub? autokeras has more GitHub stars (9,328 vs 1,482). Stars measure visibility, not whether either tool fits your constraints. ### Are autokeras and mmengine open source? Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, mmengine: Apache-2.0). ### Where can I find alternatives to autokeras or mmengine? GraphCanon lists graph-backed alternatives at [autokeras alternatives](/tools/keras-team-autokeras/alternatives) and [mmengine alternatives](/tools/open-mmlab-mmengine/alternatives) ([autokeras markdown twin](/tools/keras-team-autokeras/alternatives.md), [mmengine markdown twin](/tools/open-mmlab-mmengine/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-open-mmlab-mmengine.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autokeras or mmengine? autokeras: Slowing. mmengine: Active. 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 mmengine? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autokeras trust report](/tools/keras-team-autokeras/trust); [mmengine trust report](/tools/open-mmlab-mmengine/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/_