Comparison
RoBO vs hyperopt
Verdict
Pick RoBO if roBO is a Python framework for robust Bayesian optimization using Gaussian processes and random forests; pick hyperopt if hyperopt offers distributed asynchronous hyperparameter optimization with multiple optimizers like TPE and Annealing.
Markdown twin · RoBO alternatives · hyperopt alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | RoBO | hyperopt |
|---|---|---|
| Maintenance | Dormant (2653d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- RoBO
- A Robust Bayesian Optimization framework
- hyperopt
- Distributed Asynchronous Hyperparameter Optimization in Python
Stars
- RoBO
- 492
- hyperopt
- 7.6k
Forks
- RoBO
- 129
- hyperopt
- 1.1k
Open issues
- RoBO
- 25
- hyperopt
- 9
Language
- RoBO
- Python
- hyperopt
- Python
Adopt for
- RoBO
- RoBO is a Python framework for robust Bayesian optimization using Gaussian processes and random forests.
- hyperopt
- Hyperopt offers distributed asynchronous hyperparameter optimization with multiple optimizers like TPE and Annealing.
Persona
- RoBO
- -
- hyperopt
- -
Runtime
- RoBO
- -
- hyperopt
- -
License
- RoBO
- BSD-3-Clause
- hyperopt
- Other
Last pushed
- RoBO
- Apr 30, 2019
- hyperopt
- Aug 3, 2026
Categories
- RoBO
- Model Training
- hyperopt
- Model Training
Trust and health
Maintenance
- RoBO
- Dormant (18%)
- hyperopt
- Very active (96%)
Days since push
- RoBO
- 2653d
- hyperopt
- 0d
Open issues (now)
- RoBO
- 25
- hyperopt
- 9
OSV dependency advisories
- RoBO
- Published findings
- hyperopt
- No lockfile (source not queried)
Full report
- RoBO
- Trust report
- hyperopt
- Trust report
Shared compatibility
- Python · RoBO: Python runtime · hyperopt: Python runtime
Choose RoBO if…
- License: RoBO is BSD-3-Clause, hyperopt is Other.
- 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 hyperopt if…
- License: hyperopt is Other, RoBO is BSD-3-Clause.
- Tags unique to hyperopt: annealing, asynchronous, distributed-computing, hyperparameter-optimization.
- When you need to optimize machine learning model parameters on a distributed system asynchronously.
When NOT to use hyperopt
- If your project does not support asynchronous execution, opting for synchronous tools might be more suitable.
- Avoid if you prefer a simpler setup without the complexity of distributed systems and instead need straightforward hyperparameter tuning options.
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 Aug 4, 2026
- GitHub forks (automl/RoBO) · observed Aug 4, 2026
- Last push (automl/RoBO) · observed Apr 30, 2019
- License file (BSD-3-Clause) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (hyperopt/hyperopt) · observed Aug 4, 2026
- GitHub forks (hyperopt/hyperopt) · observed Aug 4, 2026
- Last push (hyperopt/hyperopt) · observed Aug 3, 2026
- License file (Other) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: RoBO 492 · hyperopt 7.6k (synced Aug 4, 2026).
Common questions
- What is the difference between RoBO and hyperopt?
- RoBO: A Robust Bayesian Optimization framework. hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python. See the comparison table for live GitHub stats and shared categories.
- When should I choose RoBO over hyperopt?
- Choose RoBO over hyperopt when License: RoBO is BSD-3-Clause, hyperopt is Other; 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 hyperopt over RoBO?
- Choose hyperopt over RoBO when License: hyperopt is Other, RoBO is BSD-3-Clause; Tags unique to hyperopt: annealing, asynchronous, distributed-computing, hyperparameter-optimization; When you need to optimize machine learning model parameters on a distributed system asynchronously.
- 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 hyperopt?
- If your project does not support asynchronous execution, opting for synchronous tools might be more suitable. Avoid if you prefer a simpler setup without the complexity of distributed systems and instead need straightforward hyperparameter tuning options.
- Is RoBO or hyperopt more popular on GitHub?
- hyperopt has more GitHub stars (7,598 vs 492). Stars measure visibility, not whether either tool fits your constraints.
- Are RoBO and hyperopt open source?
- Yes - both are open-source projects on GitHub (RoBO: BSD-3-Clause, hyperopt: Other).
- Where can I find alternatives to RoBO or hyperopt?
- GraphCanon lists graph-backed alternatives at RoBO alternatives and hyperopt alternatives (RoBO markdown twin, hyperopt 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 hyperopt?
- RoBO: Dormant. hyperopt: Very active. 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 hyperopt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: RoBO trust report; hyperopt trust report.