--- title: "dragonfly vs rembo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dragonfly-dragonfly-vs-ziyuw-rembo" tools: ["dragonfly-dragonfly", "ziyuw-rembo"] --- # dragonfly vs rembo *GraphCanon updated Aug 4, 2026* ## Verdict Pick dragonfly if dragonfly is an open-source Python library that specializes in scalable Bayesian optimization; pick rembo if rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding. [dragonfly](https://github.com/dragonfly/dragonfly) reports 894 GitHub stars, 238 forks, and 43 open issues, last pushed Jun 19, 2023. [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 [dragonfly's repository](https://github.com/dragonfly/dragonfly) and [rembo's repository](https://github.com/ziyuw/rembo). | | [dragonfly](/tools/dragonfly-dragonfly.md) | [rembo](/tools/ziyuw-rembo.md) | | --- | --- | --- | | Tagline | An open source Python library for scalable Bayesian optimisation. | Bayesian optimization in high-dimensions via random embedding. | | Stars | 894 | 117 | | Forks | 238 | 25 | | Open issues | 43 | 3 | | Language | Python | Matlab | | Adopt for | Dragonfly is an open-source Python library that specializes in scalable Bayesian optimization | Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dragonfly](/tools/dragonfly-dragonfly.md) | [rembo](/tools/ziyuw-rembo.md) | | --- | --- | --- | | Days since push | 1141d | 4747d | | Open issues (now) | 43 | 3 | | Owner type | Organization | User | | Full report | [trust report](/tools/dragonfly-dragonfly/trust.md) | [trust report](/tools/ziyuw-rembo/trust.md) | ## Decision facts: dragonfly - **Pricing:** freemium - Available under the MIT License, free to use but does require attention to licensing when redistributing derivative works. - **Requirements:** Installation requires Python and gfortran.; Additional dependencies can be installed via the `pip` package manager. - **Adopt for:** Dragonfly is an open-source Python library that specializes in scalable Bayesian optimization ## Decision facts: rembo - **Adopt for:** Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding. ## Choose when ### Choose dragonfly if… - dragonfly is primarily Python; rembo is Matlab. - Pricing: Available under the MIT License, free to use but does require attention to licensing when redistributing derivative works.. - Requirements: Installation requires Python and gfortran.; Additional dependencies can be installed via the `pip` package manager.. - Tags unique to dragonfly: bayesian optimisation, python library, scalable optimisation. - When dealing with large-scale problems where traditional optimization methods may not be efficient enough. ### Choose rembo if… - rembo is primarily Matlab; dragonfly 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 dragonfly - If the problem at hand can be effectively managed by simpler or more lightweight optimization tools; Dragonfly’s strength lies in scalability and complex scenario management. - In environments where Python or extensive dependencies are not desirable, as installing and running Dragonfly requires specific setup including gfortran for certain operations. ## 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 dragonfly and rembo? dragonfly: An open source Python library for scalable Bayesian optimisation.. rembo: Bayesian optimization in high-dimensions via random embedding.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dragonfly over rembo? Choose dragonfly over rembo when dragonfly is primarily Python; rembo is Matlab; Pricing: Available under the MIT License, free to use but does require attention to licensing when redistributing derivative works.; Requirements: Installation requires Python and gfortran.; Additional dependencies can be installed via the `pip` package manager.; Tags unique to dragonfly: bayesian optimisation, python library, scalable optimisation; When dealing with large-scale problems where traditional optimization methods may not be efficient enough. ### When should I choose rembo over dragonfly? Choose rembo over dragonfly when rembo is primarily Matlab; dragonfly 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 dragonfly? If the problem at hand can be effectively managed by simpler or more lightweight optimization tools; Dragonfly’s strength lies in scalability and complex scenario management. In environments where Python or extensive dependencies are not desirable, as installing and running Dragonfly requires specific setup including gfortran for certain operations. ### 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 dragonfly or rembo more popular on GitHub? dragonfly has more GitHub stars (894 vs 117). Stars measure visibility, not whether either tool fits your constraints. ### Are dragonfly and rembo open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to dragonfly or rembo? GraphCanon lists graph-backed alternatives at [dragonfly alternatives](/tools/dragonfly-dragonfly/alternatives) and [rembo alternatives](/tools/ziyuw-rembo/alternatives) ([dragonfly markdown twin](/tools/dragonfly-dragonfly/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/dragonfly-dragonfly-vs-ziyuw-rembo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dragonfly or rembo? dragonfly: Dormant. 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 dragonfly and rembo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dragonfly trust report](/tools/dragonfly-dragonfly/trust); [rembo trust report](/tools/ziyuw-rembo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dragonfly-dragonfly`](/api/graphcanon/graph?tool=dragonfly-dragonfly) - 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/_