Comparison
autokeras vs pytorch-metric-learning
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.
Markdown twin · autokeras alternatives · pytorch-metric-learning alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | autokeras | pytorch-metric-learning |
|---|---|---|
| Maintenance | Slowing (251d since push) As of 3w · github_public_v1 | Dormant (369d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 4d · 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
- autokeras
- AutoML library for deep learning
- pytorch-metric-learning
- Easily implement deep metric learning in applications using PyTorch
Stars
- autokeras
- 9.3k
- pytorch-metric-learning
- 6.3k
Forks
- autokeras
- 1.4k
- pytorch-metric-learning
- 659
Open issues
- autokeras
- 161
- pytorch-metric-learning
- 77
Language
- autokeras
- Python
- pytorch-metric-learning
- Python
Adopt for
- autokeras
- 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
- 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
- autokeras
- -
- pytorch-metric-learning
- -
Runtime
- autokeras
- -
- pytorch-metric-learning
- -
License
- autokeras
- Apache-2.0
- pytorch-metric-learning
- MIT
Last pushed
- autokeras
- Nov 25, 2025
- pytorch-metric-learning
- Aug 17, 2025
Categories
- autokeras
- Developer Tools, Model Training
- pytorch-metric-learning
- Data & Retrieval, Model Training
Trust and health
Maintenance
- autokeras
- Slowing (36%)
- pytorch-metric-learning
- Dormant (18%)
Days since push
- autokeras
- 251d
- pytorch-metric-learning
- 369d
Open issues (now)
- autokeras
- 161
- pytorch-metric-learning
- 77
Stars delta
- autokeras
- Unknown
- pytorch-metric-learning
- +6 (30d)
Open issues delta
- autokeras
- Unknown
- pytorch-metric-learning
- 0 (30d)
Owner type
- autokeras
- Organization
- pytorch-metric-learning
- User
Full report
- autokeras
- Trust report
- pytorch-metric-learning
- Trust report
Shared compatibility
- Python · autokeras: Python runtime · pytorch-metric-learning: Python runtime
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (keras-team/autokeras) · observed Aug 4, 2026
- GitHub forks (keras-team/autokeras) · observed Aug 4, 2026
- Last push (keras-team/autokeras) · observed Nov 25, 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 (KevinMusgrave/pytorch-metric-learning) · observed Aug 22, 2026
- GitHub forks (KevinMusgrave/pytorch-metric-learning) · observed Aug 22, 2026
- Last push (KevinMusgrave/pytorch-metric-learning) · observed Aug 17, 2025
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autokeras 9.3k · pytorch-metric-learning 6.3k (synced Aug 4, 2026).
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 and pytorch-metric-learning alternatives (autokeras markdown twin, pytorch-metric-learning 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, 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; pytorch-metric-learning trust report.