Comparison
HPOBench vs rembo
Verdict
Pick HPOBench if hPOBench is useful for researchers and developers working on hyperparameter optimization techniques in automated machine learning scenarios; pick rembo if rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding.
Markdown twin · HPOBench alternatives · rembo alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | HPOBench | rembo |
|---|---|---|
| Maintenance | Dormant (439d 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 | 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
- HPOBench
- A collection of hyperparameter optimization benchmark problems
- rembo
- Bayesian optimization in high-dimensions via random embedding.
Stars
- HPOBench
- 170
- rembo
- 117
Forks
- HPOBench
- 36
- rembo
- 25
Open issues
- HPOBench
- 34
- rembo
- 3
Language
- HPOBench
- Python
- rembo
- Matlab
Adopt for
- HPOBench
- HPOBench is useful for researchers and developers working on hyperparameter optimization techniques in automated machine learning scenarios.
- rembo
- Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding.
Persona
- HPOBench
- -
- rembo
- -
Runtime
- HPOBench
- -
- rembo
- -
License
- HPOBench
- HPOBench is open source under the Apache-2.0 license.
- rembo
- -
Last pushed
- HPOBench
- May 21, 2025
- rembo
- Aug 4, 2013
Categories
- HPOBench
- Model Training
- rembo
- Model Training
Trust and health
Days since push
- HPOBench
- 439d
- rembo
- 4747d
Open issues (now)
- HPOBench
- 34
- rembo
- 3
Owner type
- HPOBench
- Organization
- rembo
- User
OSV dependency advisories
- HPOBench
- Published findings
- rembo
- No lockfile (source not queried)
Full report
- HPOBench
- Trust report
- rembo
- Trust report
Choose HPOBench if…
- HPOBench is primarily Python; rembo is Matlab.
- Requirements: The installation recommends, but does not strictly require singularity version 3.6, which can be an additional setup step..
- Tags unique to HPOBench: automl, benchmark, hyperparameter-optimization, python.
- When you are specifically interested in benchmarking hyperparameter optimization problems that include containerized benchmarks to ensure consistency across environments.
When NOT to use HPOBench
- Avoid HPOBench if your project does not require Python or you are looking for a platform that exclusively focuses on the automation of model selection without hyperparameter optimization.
- If you prefer tools with built-in support for multiple programming languages, rather than focusing solely on Python as is the case with HPOBench.
Choose rembo if…
- rembo is primarily Matlab; HPOBench is Python.
- Tags unique to rembo: 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 (automl/HPOBench) · observed Aug 4, 2026
- GitHub forks (automl/HPOBench) · observed Aug 4, 2026
- Last push (automl/HPOBench) · observed May 21, 2025
- License file (Apache-2.0) · 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: HPOBench 170 · rembo 117 (synced Aug 4, 2026).
Common questions
- What is the difference between HPOBench and rembo?
- HPOBench: A collection of hyperparameter optimization benchmark problems. rembo: Bayesian optimization in high-dimensions via random embedding.. See the comparison table for live GitHub stats and shared categories.
- When should I choose HPOBench over rembo?
- Choose HPOBench over rembo when HPOBench is primarily Python; rembo is Matlab; Requirements: The installation recommends, but does not strictly require singularity version 3.6, which can be an additional setup step.; Tags unique to HPOBench: automl, benchmark, hyperparameter-optimization, python; When you are specifically interested in benchmarking hyperparameter optimization problems that include containerized benchmarks to ensure consistency across environments.
- When should I choose rembo over HPOBench?
- Choose rembo over HPOBench when rembo is primarily Matlab; HPOBench is Python; Tags unique to rembo: 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 HPOBench?
- Avoid HPOBench if your project does not require Python or you are looking for a platform that exclusively focuses on the automation of model selection without hyperparameter optimization. If you prefer tools with built-in support for multiple programming languages, rather than focusing solely on Python as is the case with HPOBench.
- 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 HPOBench or rembo more popular on GitHub?
- HPOBench has more GitHub stars (170 vs 117). Stars measure visibility, not whether either tool fits your constraints.
- Are HPOBench and rembo open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to HPOBench or rembo?
- GraphCanon lists graph-backed alternatives at HPOBench alternatives and rembo alternatives (HPOBench 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, HPOBench or rembo?
- HPOBench: 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 HPOBench and rembo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: HPOBench trust report; rembo trust report.