Comparison
autogluon vs Auto-PyTorch
Verdict
Pick autogluon if autoGluon: an automated ML library for Python that promises accuracy in model training with minimal effort, supporting tabular data, time-series forecasting, vision tasks, and NLP; pick Auto-PyTorch if auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.
Markdown twin · autogluon alternatives · Auto-PyTorch alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | autogluon | Auto-PyTorch |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Dormant (846d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- autogluon
- Fast and Accurate ML in 3 Lines of Code
- Auto-PyTorch
- Automatic architecture search and hyperparameter optimization for PyTorch
Stars
- autogluon
- 11k
- Auto-PyTorch
- 2.5k
Forks
- autogluon
- 1.2k
- Auto-PyTorch
- 303
Open issues
- autogluon
- 388
- Auto-PyTorch
- 75
Language
- autogluon
- Python
- Auto-PyTorch
- Python
Adopt for
- autogluon
- AutoGluon: an automated ML library for Python that promises accuracy in model training with minimal effort, supporting tabular data, time-series forecasting, vision tasks, and NLP.
- Auto-PyTorch
- Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.
Persona
- autogluon
- -
- Auto-PyTorch
- -
Runtime
- autogluon
- -
- Auto-PyTorch
- -
License
- autogluon
- Apache-2.0 License allows for both commercial and private use with attribution required but no warranty provided by contributors or authors.
- Auto-PyTorch
- Apache-2.0
Last pushed
- autogluon
- Aug 3, 2026
- Auto-PyTorch
- Apr 9, 2024
Categories
- autogluon
- Developer Tools, Model Training
- Auto-PyTorch
- Data & Retrieval, Model Training
Trust and health
Maintenance
- autogluon
- Very active (96%)
- Auto-PyTorch
- Dormant (18%)
Days since push
- autogluon
- 0d
- Auto-PyTorch
- 846d
Open issues (now)
- autogluon
- 388
- Auto-PyTorch
- 75
OSV dependency advisories
- autogluon
- No lockfile (source not queried)
- Auto-PyTorch
- Published findings
Full report
- autogluon
- Trust report
- Auto-PyTorch
- Trust report
Shared compatibility
- Python · autogluon: Python runtime · Auto-PyTorch: Python runtime
Choose autogluon if…
- Tags unique to autogluon: automated-machine-learning, computer-vision, data-science, ensemble-learning.
- Also covers Developer Tools.
- When you need quick setup of complex ML workflows involving CV, NLP, or structured data analysis.
When NOT to use autogluon
- If your environment does not support Python versions 3.10-3.13 as AutoGluon requires these specific versions for operation.
- For custom model developments where low-level control over every aspect of the ML process is a priority, given that AutoGluon automates significant parts of this.
Choose Auto-PyTorch if…
- Tags unique to Auto-PyTorch: pytorch, tabular-data, time-series-forecasting.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (autogluon/autogluon) · observed Aug 4, 2026
- GitHub forks (autogluon/autogluon) · observed Aug 4, 2026
- Last push (autogluon/autogluon) · observed Aug 3, 2026
- 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 (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 on cards: autogluon 11k · Auto-PyTorch 2.5k (synced Aug 4, 2026).
Common questions
- What is the difference between autogluon and Auto-PyTorch?
- autogluon: Fast and Accurate ML in 3 Lines of Code. Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. See the comparison table for live GitHub stats and shared categories.
- When should I choose autogluon over Auto-PyTorch?
- Choose autogluon over Auto-PyTorch when Tags unique to autogluon: automated-machine-learning, computer-vision, data-science, ensemble-learning; Also covers Developer Tools; When you need quick setup of complex ML workflows involving CV, NLP, or structured data analysis.
- When should I choose Auto-PyTorch over autogluon?
- Choose Auto-PyTorch over autogluon when Tags unique to Auto-PyTorch: pytorch, tabular-data, time-series-forecasting; 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 avoid autogluon?
- If your environment does not support Python versions 3.10-3.13 as AutoGluon requires these specific versions for operation. For custom model developments where low-level control over every aspect of the ML process is a priority, given that AutoGluon automates significant parts of this.
- 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.
- Is autogluon or Auto-PyTorch more popular on GitHub?
- autogluon has more GitHub stars (10,576 vs 2,541). Stars measure visibility, not whether either tool fits your constraints.
- Are autogluon and Auto-PyTorch open source?
- Yes - both are open-source projects on GitHub (autogluon: Apache-2.0, Auto-PyTorch: Apache-2.0).
- Where can I find alternatives to autogluon or Auto-PyTorch?
- GraphCanon lists graph-backed alternatives at autogluon alternatives and Auto-PyTorch alternatives (autogluon markdown twin, Auto-PyTorch 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, autogluon or Auto-PyTorch?
- autogluon: Very active. Auto-PyTorch: 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 autogluon and Auto-PyTorch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogluon trust report; Auto-PyTorch trust report.