---
title: "autokeras vs pytorch-metric-learning"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/keras-team-autokeras-vs-kevinmusgrave-pytorch-metric-learning"
tools: ["keras-team-autokeras", "kevinmusgrave-pytorch-metric-learning"]
---

# autokeras vs pytorch-metric-learning

*GraphCanon updated Aug 22, 2026*

## Verdict

Pick autokeras if autoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+; pick pytorch-metric-learning if pyTorch Metric Learning is specifically tailored for those leveraging PyTorch and interested in applications that require distance-based learning approaches like computer vision or self-supervised learning tasks.

[autokeras](http://autokeras.com/) reports 9.3k GitHub stars, 1.4k forks, and 161 open issues, last pushed Nov 25, 2025. [pytorch-metric-learning](https://kevinmusgrave.github.io/pytorch-metric-learning/) has 6.3k stars, 659 forks, and 77 open issues, last pushed Aug 17, 2025. Figures are from public GitHub metadata via [autokeras's repository](https://github.com/keras-team/autokeras) and [pytorch-metric-learning's repository](https://github.com/KevinMusgrave/pytorch-metric-learning).

| | [autokeras](/tools/keras-team-autokeras.md) | [pytorch-metric-learning](/tools/kevinmusgrave-pytorch-metric-learning.md) |
| --- | --- | --- |
| Tagline | AutoML library for deep learning | Easily implement deep metric learning in applications using PyTorch |
| Stars | 9,328 | 6,339 |
| Forks | 1,393 | 659 |
| Open issues | 161 | 77 |
| Language | Python | Python |
| Adopt for | AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+. | PyTorch Metric Learning is specifically tailored for those leveraging PyTorch and interested in applications that require distance-based learning approaches like computer vision or self-supervised learning tasks. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | Developer Tools, Model Training | Data & Retrieval, Model Training |

## Trust and health

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

| | [autokeras](/tools/keras-team-autokeras.md) | [pytorch-metric-learning](/tools/kevinmusgrave-pytorch-metric-learning.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 251d | 369d |
| Open issues (now) | 161 | 77 |
| Stars delta | Unknown | +6 (30d) |
| Open issues delta | Unknown | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/keras-team-autokeras/trust.md) | [trust report](/tools/kevinmusgrave-pytorch-metric-learning/trust.md) |

## Shared compatibility

- **Python**: [autokeras](/tools/keras-team-autokeras.md) - Python runtime; [pytorch-metric-learning](/tools/kevinmusgrave-pytorch-metric-learning.md) - Python runtime

## Decision facts: autokeras

- **Adopt for:** AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.

## Decision facts: pytorch-metric-learning

- **Hosting:** library - Provides functions for implementing deep metric learning models within PyTorch.
- **Pricing:** freemium - Free to use under the MIT license, with no direct costs but may require resource investment for implementation and support.
- **Adopt for:** PyTorch Metric Learning is specifically tailored for those leveraging PyTorch and interested in applications that require distance-based learning approaches like computer vision or self-supervised learning tasks.

## Choose when

### Choose autokeras if…

- License: autokeras is Apache-2.0, pytorch-metric-learning is MIT.
- Tags unique to autokeras: autodl, automl, keras, machine-learning.
- Also covers Developer Tools.
- When your project involves deep learning tasks requiring minimal manual intervention in designing models.

### Choose pytorch-metric-learning if…

- License: pytorch-metric-learning is MIT, autokeras is Apache-2.0.
- Provides functions for implementing deep metric learning models within PyTorch.
- Pricing: Free to use under the MIT license, with no direct costs but may require resource investment for implementation and support..
- Tags unique to pytorch-metric-learning: computer-vision, contrastive-learning, embeddings, image-retrieval.
- Also covers Data & Retrieval.
- When you are working with the PyTorch framework and intend to implement deep metric learning techniques.

## When NOT to use autokeras

- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible.
- If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.

## When NOT to use pytorch-metric-learning

- Avoid if you are not working within the PyTorch framework and prefer to use another deep learning library as this tool is tightly integrated with PyTorch.
- If your project requires a less modular setup, where customization might be more cumbersome due to pytorch-metric-learning's design towards flexibility and modularity.

## Common questions

### What is the difference between autokeras and pytorch-metric-learning?

autokeras: AutoML library for deep learning. pytorch-metric-learning: Easily implement deep metric learning in applications using PyTorch. See the comparison table for live GitHub stats and shared categories.

### When should I choose autokeras over pytorch-metric-learning?

Choose autokeras over pytorch-metric-learning when License: autokeras is Apache-2.0, pytorch-metric-learning is MIT; Tags unique to autokeras: autodl, automl, keras, machine-learning; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.

### When should I choose pytorch-metric-learning over autokeras?

Choose pytorch-metric-learning over autokeras when License: pytorch-metric-learning is MIT, autokeras is Apache-2.0; Provides functions for implementing deep metric learning models within PyTorch; Pricing: Free to use under the MIT license, with no direct costs but may require resource investment for implementation and support.; Tags unique to pytorch-metric-learning: computer-vision, contrastive-learning, embeddings, image-retrieval; Also covers Data & Retrieval; When you are working with the PyTorch framework and intend to implement deep metric learning techniques.

### When should I avoid autokeras?

When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.

### When should I avoid pytorch-metric-learning?

Avoid if you are not working within the PyTorch framework and prefer to use another deep learning library as this tool is tightly integrated with PyTorch. If your project requires a less modular setup, where customization might be more cumbersome due to pytorch-metric-learning's design towards flexibility and modularity.

### Is autokeras or pytorch-metric-learning more popular on GitHub?

autokeras has more GitHub stars (9,328 vs 6,339). Stars measure visibility, not whether either tool fits your constraints.

### Are autokeras and pytorch-metric-learning open source?

Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, pytorch-metric-learning: MIT).

### Where can I find alternatives to autokeras or pytorch-metric-learning?

GraphCanon lists graph-backed alternatives at [autokeras alternatives](/tools/keras-team-autokeras/alternatives) and [pytorch-metric-learning alternatives](/tools/kevinmusgrave-pytorch-metric-learning/alternatives) ([autokeras markdown twin](/tools/keras-team-autokeras/alternatives.md), [pytorch-metric-learning markdown twin](/tools/kevinmusgrave-pytorch-metric-learning/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/keras-team-autokeras-vs-kevinmusgrave-pytorch-metric-learning.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, autokeras or pytorch-metric-learning?

autokeras: Slowing. pytorch-metric-learning: 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 autokeras and pytorch-metric-learning?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autokeras trust report](/tools/keras-team-autokeras/trust); [pytorch-metric-learning trust report](/tools/kevinmusgrave-pytorch-metric-learning/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=keras-team-autokeras`](/api/graphcanon/graph?tool=keras-team-autokeras)
- 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/_