--- title: "keras-tuner vs rembo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/keras-team-keras-tuner-vs-ziyuw-rembo" tools: ["keras-team-keras-tuner", "ziyuw-rembo"] --- # keras-tuner vs rembo *GraphCanon updated Aug 4, 2026* ## Verdict Pick keras-tuner if kerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments; pick rembo if rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding. [keras-tuner](https://keras.io/keras_tuner/) reports 2.9k GitHub stars, 404 forks, and 240 open issues, last pushed Dec 1, 2025. [rembo](https://github.com/ziyuw/rembo) has 117 stars, 25 forks, and 3 open issues, last pushed Aug 4, 2013. Figures are from public GitHub metadata via [keras-tuner's repository](https://github.com/keras-team/keras-tuner) and [rembo's repository](https://github.com/ziyuw/rembo). | | [keras-tuner](/tools/keras-team-keras-tuner.md) | [rembo](/tools/ziyuw-rembo.md) | | --- | --- | --- | | Tagline | A Hyperparameter Tuning Library for Keras | Bayesian optimization in high-dimensions via random embedding. | | Stars | 2,923 | 117 | | Forks | 404 | 25 | | Open issues | 240 | 3 | | Language | Python | Matlab | | Adopt for | KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments. | Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [keras-tuner](/tools/keras-team-keras-tuner.md) | [rembo](/tools/ziyuw-rembo.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 245d | 4747d | | Open issues (now) | 240 | 3 | | Owner type | Organization | User | | Full report | [trust report](/tools/keras-team-keras-tuner/trust.md) | [trust report](/tools/ziyuw-rembo/trust.md) | ## Decision facts: keras-tuner - **Adopt for:** KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments. ## Decision facts: rembo - **Adopt for:** Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding. ## Choose when ### Choose keras-tuner if… - keras-tuner is primarily Python; rembo is Matlab. - Tags unique to keras-tuner: automl, deep-learning, hyperparameter-optimization, keras. - - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies. ### Choose rembo if… - rembo is primarily Matlab; keras-tuner is Python. - Tags unique to rembo: bayesian-optimization, high-dimensional space, random embedding. - When working with high-dimensional data spaces that require efficient exploration and optimization, making it ideal for problems exceeding typical dimensions ## 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. ## When NOT to use rembo - For low-dimensional spaces where full Bayesian optimization methods would be more efficient and less complex than random embedding - In scenarios requiring open-source or licensed software when Rembo's license status is unknown, potentially limiting its use in certain projects ## Common questions ### What is the difference between keras-tuner and rembo? keras-tuner: A Hyperparameter Tuning Library for Keras. rembo: Bayesian optimization in high-dimensions via random embedding.. See the comparison table for live GitHub stats and shared categories. ### When should I choose keras-tuner over rembo? Choose keras-tuner over rembo when keras-tuner is primarily Python; rembo is Matlab; Tags unique to keras-tuner: automl, deep-learning, hyperparameter-optimization, keras; - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies. ### When should I choose rembo over keras-tuner? Choose rembo over keras-tuner when rembo is primarily Matlab; keras-tuner is Python; Tags unique to rembo: bayesian-optimization, high-dimensional space, random embedding; When working with high-dimensional data spaces that require efficient exploration and optimization, making it ideal for problems exceeding typical dimensions. ### 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. ### When should I avoid rembo? For low-dimensional spaces where full Bayesian optimization methods would be more efficient and less complex than random embedding In scenarios requiring open-source or licensed software when Rembo's license status is unknown, potentially limiting its use in certain projects ### Is keras-tuner or rembo more popular on GitHub? keras-tuner has more GitHub stars (2,923 vs 117). Stars measure visibility, not whether either tool fits your constraints. ### Are keras-tuner and rembo open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to keras-tuner or rembo? GraphCanon lists graph-backed alternatives at [keras-tuner alternatives](/tools/keras-team-keras-tuner/alternatives) and [rembo alternatives](/tools/ziyuw-rembo/alternatives) ([keras-tuner markdown twin](/tools/keras-team-keras-tuner/alternatives.md), [rembo markdown twin](/tools/ziyuw-rembo/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-keras-tuner-vs-ziyuw-rembo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, keras-tuner or rembo? keras-tuner: Slowing. rembo: Dormant. 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 keras-tuner and rembo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [keras-tuner trust report](/tools/keras-team-keras-tuner/trust); [rembo trust report](/tools/ziyuw-rembo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=keras-team-keras-tuner`](/api/graphcanon/graph?tool=keras-team-keras-tuner) - 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/_