--- title: "autokeras vs learn2learn" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/keras-team-autokeras-vs-learnables-learn2learn" tools: ["keras-team-autokeras", "learnables-learn2learn"] --- # autokeras vs learn2learn *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 learn2learn if learn2learn is a PyTorch library for conducting meta-learning research with a focus on few-shot learning tasks. [autokeras](http://autokeras.com/) reports 9.3k GitHub stars, 1.4k forks, and 161 open issues, last pushed Nov 25, 2025. [learn2learn](http://learn2learn.net) has 2.9k stars, 359 forks, and 34 open issues, last pushed Dec 16, 2025. Figures are from public GitHub metadata via [autokeras's repository](https://github.com/keras-team/autokeras) and [learn2learn's repository](https://github.com/learnables/learn2learn). | | [autokeras](/tools/keras-team-autokeras.md) | [learn2learn](/tools/learnables-learn2learn.md) | | --- | --- | --- | | Tagline | AutoML library for deep learning | A PyTorch Library for Meta-learning Research | | Stars | 9,328 | 2,891 | | Forks | 1,393 | 359 | | Open issues | 161 | 34 | | 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+. | Learn2learn is a PyTorch library for conducting meta-learning research with a focus on few-shot learning tasks. | | 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) | [learn2learn](/tools/learnables-learn2learn.md) | | --- | --- | --- | | Days since push | 251d | 230d | | Open issues (now) | 161 | 34 | | Full report | [trust report](/tools/keras-team-autokeras/trust.md) | [trust report](/tools/learnables-learn2learn/trust.md) | ## Shared compatibility - **Python**: [autokeras](/tools/keras-team-autokeras.md) - Python runtime; [learn2learn](/tools/learnables-learn2learn.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: learn2learn - **Adopt for:** Learn2learn is a PyTorch library for conducting meta-learning research with a focus on few-shot learning tasks. ## Choose when ### Choose autokeras if… - License: autokeras is Apache-2.0, learn2learn 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. ### Choose learn2learn if… - License: learn2learn is MIT, autokeras is Apache-2.0. - Tags unique to learn2learn: few-shot, finetuning, learn2learn, learning2learn. - When focusing on few-shot learning scenarios ## 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 learn2learn - If the project does not require PyTorch - For traditional machine learning problems without the need for meta-learning ## Common questions ### What is the difference between autokeras and learn2learn? autokeras: AutoML library for deep learning. learn2learn: A PyTorch Library for Meta-learning Research. See the comparison table for live GitHub stats and shared categories. ### When should I choose autokeras over learn2learn? Choose autokeras over learn2learn when License: autokeras is Apache-2.0, learn2learn 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 choose learn2learn over autokeras? Choose learn2learn over autokeras when License: learn2learn is MIT, autokeras is Apache-2.0; Tags unique to learn2learn: few-shot, finetuning, learn2learn, learning2learn; When focusing on few-shot learning scenarios. ### 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 learn2learn? If the project does not require PyTorch For traditional machine learning problems without the need for meta-learning ### Is autokeras or learn2learn more popular on GitHub? autokeras has more GitHub stars (9,328 vs 2,891). Stars measure visibility, not whether either tool fits your constraints. ### Are autokeras and learn2learn open source? Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, learn2learn: MIT). ### Where can I find alternatives to autokeras or learn2learn? GraphCanon lists graph-backed alternatives at [autokeras alternatives](/tools/keras-team-autokeras/alternatives) and [learn2learn alternatives](/tools/learnables-learn2learn/alternatives) ([autokeras markdown twin](/tools/keras-team-autokeras/alternatives.md), [learn2learn markdown twin](/tools/learnables-learn2learn/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-learnables-learn2learn.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autokeras or learn2learn? autokeras: Slowing. learn2learn: 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 learn2learn? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autokeras trust report](/tools/keras-team-autokeras/trust); [learn2learn trust report](/tools/learnables-learn2learn/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/_