Comparison
Auto-PyTorch vs pycaret
Verdict
Pick Auto-PyTorch if auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch; pick pycaret if pyCaret is an open-source low-code AutoML platform with a dual license structure and support for various ML tasks like classification, clustering, and anomaly detection.
Markdown twin · Auto-PyTorch alternatives · pycaret alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Auto-PyTorch | pycaret |
|---|---|---|
| Maintenance | Dormant (846d since push) As of 2w · github_public_v1 | Active (12d 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 | Published findings 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
- Auto-PyTorch
- Automatic architecture search and hyperparameter optimization for PyTorch
- pycaret
- Open-source low-code AutoML platform for Python
Stars
- Auto-PyTorch
- 2.5k
- pycaret
- 9.8k
Forks
- Auto-PyTorch
- 303
- pycaret
- 1.9k
Open issues
- Auto-PyTorch
- 75
- pycaret
- 32
Language
- Auto-PyTorch
- Python
- pycaret
- Python
Adopt for
- Auto-PyTorch
- Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.
- pycaret
- PyCaret is an open-source low-code AutoML platform with a dual license structure and support for various ML tasks like classification, clustering, and anomaly detection.
Persona
- Auto-PyTorch
- -
- pycaret
- -
Runtime
- Auto-PyTorch
- -
- pycaret
- -
License
- Auto-PyTorch
- Apache-2.0
- pycaret
- Other
Last pushed
- Auto-PyTorch
- Apr 9, 2024
- pycaret
- Jul 23, 2026
Categories
- Auto-PyTorch
- Data & Retrieval, Model Training
- pycaret
- Model Training
Trust and health
Maintenance
- Auto-PyTorch
- Dormant (18%)
- pycaret
- Active (82%)
Days since push
- Auto-PyTorch
- 846d
- pycaret
- 12d
Open issues (now)
- Auto-PyTorch
- 75
- pycaret
- 32
OSV dependency advisories
- Auto-PyTorch
- Published findings
- pycaret
- No lockfile (source not queried)
Full report
- Auto-PyTorch
- Trust report
- pycaret
- Trust report
Shared compatibility
- Python · Auto-PyTorch: Python runtime · pycaret: Python runtime
Choose Auto-PyTorch if…
- License: Auto-PyTorch is Apache-2.0, pycaret is Other.
- Tags unique to Auto-PyTorch: deep-learning, 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.
Choose pycaret if…
- License: pycaret is Other, Auto-PyTorch is Apache-2.0.
- Tags unique to pycaret: anomaly-detection, classification, clustering, data-science.
- You need to implement end-to-end machine learning pipelines using Python without diving deep into code complexity
When NOT to use pycaret
- Looking for pure open-source contributions as the control plane is BUSL-1.1 licensed until 2027
- You prioritize a fully code-driven custom ML pipeline over a low-code and automated approach
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (pycaret/pycaret) · observed Aug 4, 2026
- GitHub forks (pycaret/pycaret) · observed Aug 4, 2026
- Last push (pycaret/pycaret) · observed Jul 23, 2026
- License file (Other) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Auto-PyTorch 2.5k · pycaret 9.8k (synced Aug 4, 2026).
Common questions
- What is the difference between Auto-PyTorch and pycaret?
- Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. pycaret: Open-source low-code AutoML platform for Python. See the comparison table for live GitHub stats and shared categories.
- When should I choose Auto-PyTorch over pycaret?
- Choose Auto-PyTorch over pycaret when License: Auto-PyTorch is Apache-2.0, pycaret is Other; Tags unique to Auto-PyTorch: deep-learning, 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 choose pycaret over Auto-PyTorch?
- Choose pycaret over Auto-PyTorch when License: pycaret is Other, Auto-PyTorch is Apache-2.0; Tags unique to pycaret: anomaly-detection, classification, clustering, data-science; You need to implement end-to-end machine learning pipelines using Python without diving deep into code complexity.
- 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 pycaret?
- Looking for pure open-source contributions as the control plane is BUSL-1.1 licensed until 2027 You prioritize a fully code-driven custom ML pipeline over a low-code and automated approach
- Is Auto-PyTorch or pycaret more popular on GitHub?
- pycaret has more GitHub stars (9,831 vs 2,541). Stars measure visibility, not whether either tool fits your constraints.
- Are Auto-PyTorch and pycaret open source?
- Yes - both are open-source projects on GitHub (Auto-PyTorch: Apache-2.0, pycaret: Other).
- Where can I find alternatives to Auto-PyTorch or pycaret?
- GraphCanon lists graph-backed alternatives at Auto-PyTorch alternatives and pycaret alternatives (Auto-PyTorch markdown twin, pycaret 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-PyTorch or pycaret?
- Auto-PyTorch: Dormant. pycaret: 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-PyTorch and pycaret?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Auto-PyTorch trust report; pycaret trust report.