Comparison
dragonfly vs rembo
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.
Markdown twin · dragonfly alternatives · rembo alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | dragonfly | rembo |
|---|---|---|
| Maintenance | Dormant (1141d since push) As of 2w · github_public_v1 | Dormant (4747d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dragonfly
- An open source Python library for scalable Bayesian optimisation.
- rembo
- Bayesian optimization in high-dimensions via random embedding.
Stars
- dragonfly
- 894
- rembo
- 117
Forks
- dragonfly
- 238
- rembo
- 25
Open issues
- dragonfly
- 43
- rembo
- 3
Language
- dragonfly
- Python
- rembo
- Matlab
Adopt for
- dragonfly
- Dragonfly is an open-source Python library that specializes in scalable Bayesian optimization
- rembo
- Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding.
Persona
- dragonfly
- -
- rembo
- -
Runtime
- dragonfly
- -
- rembo
- -
License
- dragonfly
- MIT
- rembo
- -
Last pushed
- dragonfly
- Jun 19, 2023
- rembo
- Aug 4, 2013
Categories
- dragonfly
- Model Training
- rembo
- Model Training
Trust and health
Days since push
- dragonfly
- 1141d
- rembo
- 4747d
Open issues (now)
- dragonfly
- 43
- rembo
- 3
Owner type
- dragonfly
- Organization
- rembo
- User
OSV dependency advisories
- dragonfly
- No published findings from this source as of 2026-07-11
- rembo
- No lockfile (source not queried)
Full report
- dragonfly
- Trust report
- rembo
- Trust report
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dragonfly/dragonfly) · observed Aug 4, 2026
- GitHub forks (dragonfly/dragonfly) · observed Aug 4, 2026
- Last push (dragonfly/dragonfly) · observed Jun 19, 2023
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ziyuw/rembo) · observed Aug 4, 2026
- GitHub forks (ziyuw/rembo) · observed Aug 4, 2026
- Last push (ziyuw/rembo) · observed Aug 4, 2013
- License file (unknown) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dragonfly 894 · rembo 117 (synced Aug 4, 2026).
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
pippackage 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 and rembo alternatives (dragonfly markdown twin, rembo markdown twin), 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 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; rembo trust report.