Comparison
hyperopt vs rembo
Verdict
Pick hyperopt if hyperopt offers distributed asynchronous hyperparameter optimization with multiple optimizers like TPE and Annealing; pick rembo if rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding.
Markdown twin · hyperopt alternatives · rembo alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | hyperopt | rembo |
|---|---|---|
| Maintenance | Very active (0d 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 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
- hyperopt
- Distributed Asynchronous Hyperparameter Optimization in Python
- rembo
- Bayesian optimization in high-dimensions via random embedding.
Stars
- hyperopt
- 7.6k
- rembo
- 117
Forks
- hyperopt
- 1.1k
- rembo
- 25
Open issues
- hyperopt
- 9
- rembo
- 3
Language
- hyperopt
- Python
- rembo
- Matlab
Adopt for
- hyperopt
- Hyperopt offers distributed asynchronous hyperparameter optimization with multiple optimizers like TPE and Annealing.
- rembo
- Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding.
Persona
- hyperopt
- -
- rembo
- -
Runtime
- hyperopt
- -
- rembo
- -
License
- hyperopt
- Other
- rembo
- -
Last pushed
- hyperopt
- Aug 3, 2026
- rembo
- Aug 4, 2013
Categories
- hyperopt
- Model Training
- rembo
- Model Training
Trust and health
Maintenance
- hyperopt
- Very active (96%)
- rembo
- Dormant (18%)
Days since push
- hyperopt
- 0d
- rembo
- 4747d
Open issues (now)
- hyperopt
- 9
- rembo
- 3
Owner type
- hyperopt
- Organization
- rembo
- User
Full report
- hyperopt
- Trust report
- rembo
- Trust report
Choose hyperopt if…
- hyperopt is primarily Python; rembo is Matlab.
- 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.
Choose rembo if…
- rembo is primarily Matlab; hyperopt 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 (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 (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: hyperopt 7.6k · rembo 117 (synced Aug 4, 2026).
Common questions
- What is the difference between hyperopt and rembo?
- hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python. rembo: Bayesian optimization in high-dimensions via random embedding.. See the comparison table for live GitHub stats and shared categories.
- When should I choose hyperopt over rembo?
- Choose hyperopt over rembo when hyperopt is primarily Python; rembo is Matlab; 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 choose rembo over hyperopt?
- Choose rembo over hyperopt when rembo is primarily Matlab; hyperopt 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 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.
- 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 hyperopt or rembo more popular on GitHub?
- hyperopt has more GitHub stars (7,598 vs 117). Stars measure visibility, not whether either tool fits your constraints.
- Are hyperopt and rembo open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to hyperopt or rembo?
- GraphCanon lists graph-backed alternatives at hyperopt alternatives and rembo alternatives (hyperopt 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, hyperopt or rembo?
- hyperopt: Very active. 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 hyperopt and rembo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hyperopt trust report; rembo trust report.