---
title: "Auto-PyTorch vs rembo"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/automl-auto-pytorch-vs-ziyuw-rembo"
tools: ["automl-auto-pytorch", "ziyuw-rembo"]
---

# Auto-PyTorch vs rembo

*GraphCanon updated Aug 4, 2026*

## 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.

[Auto-PyTorch](https://github.com/automl/Auto-PyTorch) reports 2.5k GitHub stars, 303 forks, and 75 open issues, last pushed Apr 9, 2024. [rembo](https://github.com/ziyuw/rembo) has 117 stars, 25 forks, and 3 open issues, last pushed Aug 4, 2013. Figures are from public GitHub metadata via [Auto-PyTorch's repository](https://github.com/automl/Auto-PyTorch) and [rembo's repository](https://github.com/ziyuw/rembo).

| | [Auto-PyTorch](/tools/automl-auto-pytorch.md) | [rembo](/tools/ziyuw-rembo.md) |
| --- | --- | --- |
| Tagline | Automatic architecture search and hyperparameter optimization for PyTorch | Bayesian optimization in high-dimensions via random embedding. |
| Stars | 2,541 | 117 |
| Forks | 303 | 25 |
| Open issues | 75 | 3 |
| Language | Python | Matlab |
| Adopt for | Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch. | Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | - |
| Categories | Data & Retrieval, Model Training | Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [Auto-PyTorch](/tools/automl-auto-pytorch.md) | [rembo](/tools/ziyuw-rembo.md) |
| --- | --- | --- |
| Days since push | 846d | 4747d |
| Open issues (now) | 75 | 3 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/automl-auto-pytorch/trust.md) | [trust report](/tools/ziyuw-rembo/trust.md) |

## Decision facts: Auto-PyTorch

- **Adopt for:** Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.

## Decision facts: rembo

- **Adopt for:** Rembo is a Matlab-based tool for high-dimensional Bayesian optimization using random embedding.

## Choose when

### 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.

### 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 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 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

## 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](/tools/automl-auto-pytorch/alternatives) and [rembo alternatives](/tools/ziyuw-rembo/alternatives) ([Auto-PyTorch markdown twin](/tools/automl-auto-pytorch/alternatives.md), [rembo markdown twin](/tools/ziyuw-rembo/alternatives.md)), 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](/compare/automl-auto-pytorch-vs-ziyuw-rembo.md) 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](/tools/automl-auto-pytorch/trust); [rembo trust report](/tools/ziyuw-rembo/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=automl-auto-pytorch`](/api/graphcanon/graph?tool=automl-auto-pytorch)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
