--- title: "Auto-PyTorch vs keras-tuner" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/automl-auto-pytorch-vs-keras-team-keras-tuner" tools: ["automl-auto-pytorch", "keras-team-keras-tuner"] --- # Auto-PyTorch vs keras-tuner *GraphCanon updated Aug 4, 2026* ## Verdict Pick Auto-PyTorch if auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch; pick keras-tuner if kerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments. [Auto-PyTorch](https://github.com/automl/Auto-PyTorch) reports 2.5k GitHub stars, 303 forks, and 75 open issues, last pushed Apr 9, 2024. [keras-tuner](https://keras.io/keras_tuner/) has 2.9k stars, 404 forks, and 240 open issues, last pushed Dec 1, 2025. Figures are from public GitHub metadata via [Auto-PyTorch's repository](https://github.com/automl/Auto-PyTorch) and [keras-tuner's repository](https://github.com/keras-team/keras-tuner). | | [Auto-PyTorch](/tools/automl-auto-pytorch.md) | [keras-tuner](/tools/keras-team-keras-tuner.md) | | --- | --- | --- | | Tagline | Automatic architecture search and hyperparameter optimization for PyTorch | A Hyperparameter Tuning Library for Keras | | Stars | 2,541 | 2,923 | | Forks | 303 | 404 | | Open issues | 75 | 240 | | Language | Python | Python | | Adopt for | Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch. | KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Data & Retrieval, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Auto-PyTorch](/tools/automl-auto-pytorch.md) | [keras-tuner](/tools/keras-team-keras-tuner.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 846d | 245d | | Open issues (now) | 75 | 240 | | Full report | [trust report](/tools/automl-auto-pytorch/trust.md) | [trust report](/tools/keras-team-keras-tuner/trust.md) | ## Shared compatibility - **Python**: [Auto-PyTorch](/tools/automl-auto-pytorch.md) - Python runtime; [keras-tuner](/tools/keras-team-keras-tuner.md) - Python runtime ## Decision facts: Auto-PyTorch - **Adopt for:** Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch. ## Decision facts: keras-tuner - **Adopt for:** KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments. ## Choose when ### Choose Auto-PyTorch if… - Tags unique to Auto-PyTorch: pytorch, tabular-data, time-series-forecasting. - Also covers Data & Retrieval. - Auto-PyTorch ships Docker support for self-hosted deployment. - Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models. ### Choose keras-tuner if… - Tags unique to keras-tuner: hyperparameter-optimization, keras, machine-learning, tensorflow. - - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies. - More GitHub stars (2.9k vs 2.5k) - visibility, not fit. ## When NOT to use Auto-PyTorch - Avoid using it if your AI development focuses on frameworks other than PyTorch. - Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning. ## When NOT to use keras-tuner - - Avoid if your current machine-learning stack does not include Python and TensorFlow 2.0+ as primary dependencies. - - Not recommended if you seek hyperparameter tuning solutions that are more generic or compatible with a wider range of ML frameworks beyond Keras. ## Common questions ### What is the difference between Auto-PyTorch and keras-tuner? Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. keras-tuner: A Hyperparameter Tuning Library for Keras. See the comparison table for live GitHub stats and shared categories. ### When should I choose Auto-PyTorch over keras-tuner? Choose Auto-PyTorch over keras-tuner when Tags unique to Auto-PyTorch: pytorch, tabular-data, time-series-forecasting; Also covers Data & Retrieval; Auto-PyTorch ships Docker support for self-hosted deployment; Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models. ### When should I choose keras-tuner over Auto-PyTorch? Choose keras-tuner over Auto-PyTorch when Tags unique to keras-tuner: hyperparameter-optimization, keras, machine-learning, tensorflow; - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies; More GitHub stars (2.9k vs 2.5k) - visibility, not fit. ### When should I avoid Auto-PyTorch? Avoid using it if your AI development focuses on frameworks other than PyTorch. Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning. ### When should I avoid keras-tuner? - Avoid if your current machine-learning stack does not include Python and TensorFlow 2.0+ as primary dependencies. - Not recommended if you seek hyperparameter tuning solutions that are more generic or compatible with a wider range of ML frameworks beyond Keras. ### Is Auto-PyTorch or keras-tuner more popular on GitHub? keras-tuner has more GitHub stars (2,923 vs 2,541). Stars measure visibility, not whether either tool fits your constraints. ### Are Auto-PyTorch and keras-tuner open source? Yes - both are open-source projects on GitHub (Auto-PyTorch: Apache-2.0, keras-tuner: Apache-2.0). ### Where can I find alternatives to Auto-PyTorch or keras-tuner? GraphCanon lists graph-backed alternatives at [Auto-PyTorch alternatives](/tools/automl-auto-pytorch/alternatives) and [keras-tuner alternatives](/tools/keras-team-keras-tuner/alternatives) ([Auto-PyTorch markdown twin](/tools/automl-auto-pytorch/alternatives.md), [keras-tuner markdown twin](/tools/keras-team-keras-tuner/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/automl-auto-pytorch-vs-keras-team-keras-tuner.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Auto-PyTorch or keras-tuner? Auto-PyTorch: Dormant. keras-tuner: 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 Auto-PyTorch and keras-tuner? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Auto-PyTorch trust report](/tools/automl-auto-pytorch/trust); [keras-tuner trust report](/tools/keras-team-keras-tuner/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=automl-auto-pytorch`](/api/graphcanon/graph?tool=automl-auto-pytorch) - 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/_