Comparison
Auto-PyTorch vs rembo
Verdict
Pick Auto-PyTorch if auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch; pick rembo if rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding.
Markdown twin · Auto-PyTorch alternatives · rembo alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | Auto-PyTorch | rembo |
|---|---|---|
| Maintenance | Dormant (846d 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
- Auto-PyTorch
- Automatic architecture search and hyperparameter optimization for PyTorch
- rembo
- Bayesian optimization in high-dimensions via random embedding.
Stars
- Auto-PyTorch
- 2.5k
- rembo
- 117
Forks
- Auto-PyTorch
- 303
- rembo
- 25
Open issues
- Auto-PyTorch
- 75
- rembo
- 3
Language
- Auto-PyTorch
- Python
- rembo
- Matlab
Adopt for
- Auto-PyTorch
- Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.
- rembo
- Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding.
Persona
- Auto-PyTorch
- -
- rembo
- -
Runtime
- Auto-PyTorch
- -
- rembo
- -
License
- Auto-PyTorch
- Apache-2.0
- rembo
- -
Last pushed
- Auto-PyTorch
- Apr 9, 2024
- rembo
- Aug 4, 2013
Categories
- Auto-PyTorch
- Data & Retrieval, Model Training
- rembo
- Model Training
Trust and health
Days since push
- Auto-PyTorch
- 846d
- rembo
- 4747d
Open issues (now)
- Auto-PyTorch
- 75
- rembo
- 3
Owner type
- Auto-PyTorch
- Organization
- rembo
- User
OSV dependency advisories
- Auto-PyTorch
- Published findings
- rembo
- No lockfile (source not queried)
Full report
- Auto-PyTorch
- Trust report
- rembo
- Trust report
Choose Auto-PyTorch if…
- Auto-PyTorch is primarily Python; rembo is Matlab.
- Tags unique to Auto-PyTorch: automl, deep-learning, pytorch, tabular-data.
- Also covers Data & Retrieval.
- Auto-PyTorch ships Docker support for self-hosted deployment.
- Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models.
When NOT to use Auto-PyTorch
- Avoid using it if your AI development focuses on frameworks other than PyTorch.
- Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning.
Choose rembo if…
- rembo is primarily Matlab; Auto-PyTorch 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 (automl/Auto-PyTorch) · observed Aug 4, 2026
- GitHub forks (automl/Auto-PyTorch) · observed Aug 4, 2026
- Last push (automl/Auto-PyTorch) · observed Apr 9, 2024
- 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: Auto-PyTorch 2.5k · rembo 117 (synced Aug 4, 2026).
Common questions
- What is the difference between Auto-PyTorch and rembo?
- Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. rembo: Bayesian optimization in high-dimensions via random embedding.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Auto-PyTorch over rembo?
- Choose Auto-PyTorch over rembo when Auto-PyTorch is primarily Python; rembo is Matlab; Tags unique to Auto-PyTorch: automl, deep-learning, pytorch, tabular-data; Also covers Data & Retrieval; Auto-PyTorch ships Docker support for self-hosted deployment; Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models.
- When should I choose rembo over Auto-PyTorch?
- Choose rembo over Auto-PyTorch when rembo is primarily Matlab; Auto-PyTorch 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 Auto-PyTorch?
- Avoid using it if your AI development focuses on frameworks other than PyTorch. Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning.
- 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 Auto-PyTorch or rembo more popular on GitHub?
- Auto-PyTorch has more GitHub stars (2,541 vs 117). Stars measure visibility, not whether either tool fits your constraints.
- Are Auto-PyTorch and rembo open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Auto-PyTorch or rembo?
- GraphCanon lists graph-backed alternatives at Auto-PyTorch alternatives and rembo alternatives (Auto-PyTorch 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, Auto-PyTorch or rembo?
- Auto-PyTorch: 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 Auto-PyTorch and rembo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Auto-PyTorch trust report; rembo trust report.