Comparison
auto-sklearn vs pytorch
Verdict
Pick auto-sklearn when license: auto-sklearn is BSD-3-Clause, pytorch is Other; pick pytorch when license: pytorch is Other, auto-sklearn is BSD-3-Clause.
Markdown twin · auto-sklearn alternatives · pytorch alternatives
GraphCanon updated today
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Trust & integrity
| Signal | auto-sklearn | pytorch |
|---|---|---|
| Maintenance | Active (12d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 22 low (22 low) As of today · osv@v1 | No criticals As of today · osv@v1 |
Tagline
- auto-sklearn
- Automated Machine Learning with scikit-learn
- pytorch
- Tensors and Dynamic neural networks in Python with strong GPU acceleration
Stars
- auto-sklearn
- 8.1k
- pytorch
- 102k
Forks
- auto-sklearn
- 1.3k
- pytorch
- 28k
Open issues
- auto-sklearn
- 210
- pytorch
- 18k
Language
- auto-sklearn
- Python
- pytorch
- Python
Adopt for
- auto-sklearn
- -
- pytorch
- -
Persona
- auto-sklearn
- -
- pytorch
- -
Runtime
- auto-sklearn
- -
- pytorch
- -
License
- auto-sklearn
- BSD-3-Clause
- pytorch
- Other
Last pushed
- auto-sklearn
- Jun 29, 2026
- pytorch
- Jul 11, 2026
Categories
- auto-sklearn
- Model Training, Computer Vision, Developer Tools
- pytorch
- Model Training, Data & Retrieval, Computer Vision
Trust and health
Maintenance
- auto-sklearn
- Active (82%)
- pytorch
- Very active (96%)
Days since push
- auto-sklearn
- 12d
- pytorch
- 0d
Open issues (now)
- auto-sklearn
- 210
- pytorch
- 18k
Security scan
- auto-sklearn
- 22 low (22 low)
- pytorch
- No criticals
Full report
- auto-sklearn
- Trust report
- pytorch
- Trust report
Shared compatibility
- Python · auto-sklearn: Python runtime · pytorch: Python runtime
Choose auto-sklearn if…
- License: auto-sklearn is BSD-3-Clause, pytorch is Other.
- Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning.
- Also covers Developer Tools.
When NOT to use auto-sklearn
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Choose pytorch if…
- License: pytorch is Other, auto-sklearn is BSD-3-Clause.
- Tags unique to pytorch: autograd, deep-learning, gpu, machine-learning.
- Also covers Data & Retrieval.
When NOT to use pytorch
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (automl/auto-sklearn) · observed Jul 11, 2026
- GitHub forks (automl/auto-sklearn) · observed Jul 11, 2026
- Last push (automl/auto-sklearn) · observed Jun 29, 2026
- License file (BSD-3-Clause) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pytorch/pytorch) · observed Jul 11, 2026
- GitHub forks (pytorch/pytorch) · observed Jul 11, 2026
- Last push (pytorch/pytorch) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-sklearn 8.1k · pytorch 102k (synced Jul 11, 2026).
Common questions
- What is the difference between auto-sklearn and pytorch?
- auto-sklearn: Automated Machine Learning with scikit-learn. pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-sklearn over pytorch?
- Choose auto-sklearn over pytorch when License: auto-sklearn is BSD-3-Clause, pytorch is Other; Tags unique to auto-sklearn: automl, meta-learning, hyperparameter-search, hyperparameter-tuning; Also covers Developer Tools.
- When should I choose pytorch over auto-sklearn?
- Choose pytorch over auto-sklearn when License: pytorch is Other, auto-sklearn is BSD-3-Clause; Tags unique to pytorch: autograd, deep-learning, gpu, machine-learning; Also covers Data & Retrieval.
- When should I avoid auto-sklearn?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- When should I avoid pytorch?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Is auto-sklearn or pytorch more popular on GitHub?
- pytorch has more GitHub stars (101,752 vs 8,119). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-sklearn and pytorch open source?
- Yes - both are open-source projects on GitHub (auto-sklearn: BSD-3-Clause, pytorch: Other).
- Where can I find alternatives to auto-sklearn or pytorch?
- GraphCanon lists graph-backed alternatives at auto-sklearn alternatives and pytorch alternatives (auto-sklearn markdown twin, 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, auto-sklearn or pytorch?
- auto-sklearn: Active. pytorch: Very active. 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-sklearn and pytorch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-sklearn trust report; pytorch trust report.