Comparison
RoBO vs dragonfly
Verdict
Pick RoBO if roBO is a Python framework for robust Bayesian optimization using Gaussian processes and random forests; pick dragonfly if dragonfly is an open-source Python library that specializes in scalable Bayesian optimization.
Markdown twin · RoBO alternatives · dragonfly alternatives
GraphCanon updated Oct 3, 2026
14views this month
Trust & integrity
| Signal | RoBO | dragonfly |
|---|---|---|
| Maintenance | Dormant (2712d since push) As of Oct 3, 2026 · github_public_v1 | Dormant (1198d since push) As of Sep 30, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 3, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 30, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · 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
- RoBO
- A Robust Bayesian Optimization framework
- dragonfly
- An open source Python library for scalable Bayesian optimisation.
Stars
- RoBO
- 496
- dragonfly
- 894
Forks
- RoBO
- 129
- dragonfly
- 238
Open issues
- RoBO
- 26
- dragonfly
- 43
Language
- RoBO
- Python
- dragonfly
- Python
Adopt for
- RoBO
- RoBO is a Python framework for robust Bayesian optimization using Gaussian processes and random forests.
- dragonfly
- Dragonfly is an open-source Python library that specializes in scalable Bayesian optimization
Persona
- RoBO
- -
- dragonfly
- -
Runtime
- RoBO
- -
- dragonfly
- -
License
- RoBO
- BSD-3-Clause
- dragonfly
- MIT
Last pushed
- RoBO
- Apr 30, 2019
- dragonfly
- Jun 19, 2023
Categories
- RoBO
- Model Training
- dragonfly
- Model Training
Trust and health
Days since push
- RoBO
- 2712d
- dragonfly
- 1198d
Open issues (now)
- RoBO
- 26
- dragonfly
- 43
Stars delta
- RoBO
- +4 (30d)
- dragonfly
- 0 (30d)
Open issues delta
- RoBO
- +1 (30d)
- dragonfly
- 0 (30d)
OSV dependency advisories
- RoBO
- Published findings
- dragonfly
- No published findings from this source as of 2026-07-11
Full report
- RoBO
- Trust report
- dragonfly
- Trust report
Shared compatibility
- Python · RoBO: Python runtime · dragonfly: Python runtime
Choose RoBO if…
- License: RoBO is BSD-3-Clause, dragonfly is MIT.
- Tags unique to RoBO: bayesian-optimization, gaussian processes, python, random forests.
- For tasks requiring robust handling of noisy data in Bayesian Optimization
When NOT to use RoBO
- Avoid if your project strictly requires open-source licenses other than BSD-3-Clause
- Not suitable for users not comfortable installing external dependencies manually
Choose dragonfly if…
- License: dragonfly is MIT, RoBO is BSD-3-Clause.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (automl/RoBO) · observed Oct 3, 2026
- GitHub forks (automl/RoBO) · observed Oct 3, 2026
- Last push (automl/RoBO) · observed Apr 30, 2019
- License file (BSD-3-Clause) · observed Oct 3, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (dragonfly/dragonfly) · observed Sep 30, 2026
- GitHub forks (dragonfly/dragonfly) · observed Sep 30, 2026
- Last push (dragonfly/dragonfly) · observed Jun 19, 2023
- License file (MIT) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: RoBO 496 · dragonfly 894 (synced Oct 3, 2026).
Common questions
- What is the difference between RoBO and dragonfly?
- RoBO: A Robust Bayesian Optimization framework. dragonfly: An open source Python library for scalable Bayesian optimisation.. See the comparison table for live GitHub stats and shared categories.
- When should I choose RoBO over dragonfly?
- Choose RoBO over dragonfly when License: RoBO is BSD-3-Clause, dragonfly is MIT; Tags unique to RoBO: bayesian-optimization, gaussian processes, python, random forests; For tasks requiring robust handling of noisy data in Bayesian Optimization.
- When should I choose dragonfly over RoBO?
- Choose dragonfly over RoBO when License: dragonfly is MIT, RoBO is BSD-3-Clause; 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 avoid RoBO?
- Avoid if your project strictly requires open-source licenses other than BSD-3-Clause Not suitable for users not comfortable installing external dependencies manually
- 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.
- Is RoBO or dragonfly more popular on GitHub?
- dragonfly has more GitHub stars (894 vs 496). Stars measure visibility, not whether either tool fits your constraints.
- Are RoBO and dragonfly open source?
- Yes - both are open-source projects on GitHub (RoBO: BSD-3-Clause, dragonfly: MIT).
- Where can I find alternatives to RoBO or dragonfly?
- GraphCanon lists graph-backed alternatives at RoBO alternatives and dragonfly alternatives (RoBO markdown twin, dragonfly 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, RoBO or dragonfly?
- RoBO: Dormant. dragonfly: 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 RoBO and dragonfly?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: RoBO trust report; dragonfly trust report.