Comparison
rembo vs hyperband
Verdict
Pick rembo if rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding; pick hyperband if hyperband optimizes hyperparameters quickly with an efficient bandit-based approach, supporting several models from scikit-learn and polylearn.
Markdown twin · rembo alternatives · hyperband alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | rembo | hyperband |
|---|---|---|
| Maintenance | Dormant (4747d since push) As of 2w · github_public_v1 | Dormant (2910d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- rembo
- Bayesian optimization in high-dimensions via random embedding.
- hyperband
- Tuning hyperparams fast with Hyperband
Stars
- rembo
- 117
- hyperband
- 599
Forks
- rembo
- 25
- hyperband
- 73
Open issues
- rembo
- 3
- hyperband
- 9
Language
- rembo
- Matlab
- hyperband
- Python
Adopt for
- rembo
- Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding.
- hyperband
- Hyperband optimizes hyperparameters quickly with an efficient bandit-based approach, supporting several models from scikit-learn and polylearn.
Persona
- rembo
- -
- hyperband
- -
Runtime
- rembo
- -
- hyperband
- -
License
- rembo
- -
- hyperband
- Other
Last pushed
- rembo
- Aug 4, 2013
- hyperband
- Aug 15, 2018
Categories
- rembo
- Model Training
- hyperband
- Model Training
Trust and health
Days since push
- rembo
- 4747d
- hyperband
- 2910d
Open issues (now)
- rembo
- 3
- hyperband
- 9
Full report
- rembo
- Trust report
- hyperband
- Trust report
Choose rembo if…
- rembo is primarily Matlab; hyperband 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
Choose hyperband if…
- hyperband is primarily Python; rembo is Matlab.
- Tags unique to hyperband: classification, gradient-boosting, hyperparameter-optimization, machine-learning.
- Use Hyperband when you need fast optimization of hyperparameters for classifiers such as gradient boosting or regressors like factorization machines from polylearn.
When NOT to use hyperband
- Avoid Hyperband if you require custom data formats that differ significantly from scikit-learn conventions, as this will necessitate extensive customization of the load_data modules.
- Do not use Hyperband when the models you need for hyperparameter tuning are not among the eight pre-supported models; additional support is required outside what comes built-in.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (zygmuntz/hyperband) · observed Aug 4, 2026
- GitHub forks (zygmuntz/hyperband) · observed Aug 4, 2026
- Last push (zygmuntz/hyperband) · observed Aug 15, 2018
- 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: rembo 117 · hyperband 599 (synced Aug 4, 2026).
Common questions
- What is the difference between rembo and hyperband?
- rembo: Bayesian optimization in high-dimensions via random embedding.. hyperband: Tuning hyperparams fast with Hyperband. See the comparison table for live GitHub stats and shared categories.
- When should I choose rembo over hyperband?
- Choose rembo over hyperband when rembo is primarily Matlab; hyperband 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 choose hyperband over rembo?
- Choose hyperband over rembo when hyperband is primarily Python; rembo is Matlab; Tags unique to hyperband: classification, gradient-boosting, hyperparameter-optimization, machine-learning; Use Hyperband when you need fast optimization of hyperparameters for classifiers such as gradient boosting or regressors like factorization machines from polylearn.
- 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
- When should I avoid hyperband?
- Avoid Hyperband if you require custom data formats that differ significantly from scikit-learn conventions, as this will necessitate extensive customization of the load_data modules. Do not use Hyperband when the models you need for hyperparameter tuning are not among the eight pre-supported models; additional support is required outside what comes built-in.
- Is rembo or hyperband more popular on GitHub?
- hyperband has more GitHub stars (599 vs 117). Stars measure visibility, not whether either tool fits your constraints.
- Are rembo and hyperband open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to rembo or hyperband?
- GraphCanon lists graph-backed alternatives at rembo alternatives and hyperband alternatives (rembo markdown twin, hyperband 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, rembo or hyperband?
- rembo: Dormant. hyperband: 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 rembo and hyperband?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rembo trust report; hyperband trust report.