Comparison
Auto-PyTorch vs penzai
Verdict
Pick Auto-PyTorch if auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch; pick penzai if penzai supports fine-tuning and interpretability features in neural network research through JAX.
Markdown twin · Auto-PyTorch alternatives · penzai alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | Auto-PyTorch | penzai |
|---|---|---|
| Maintenance | Dormant (846d since push) As of 3w · github_public_v1 | Dormant (427d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 1d · 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
- penzai
- A JAX research toolkit for building, editing, and visualizing neural networks.
Stars
- Auto-PyTorch
- 2.5k
- penzai
- 1.9k
Forks
- Auto-PyTorch
- 303
- penzai
- 70
Open issues
- Auto-PyTorch
- 75
- penzai
- 21
Language
- Auto-PyTorch
- Python
- penzai
- Python
Adopt for
- Auto-PyTorch
- Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.
- penzai
- Penzai supports fine-tuning and interpretability features in neural network research through JAX.
Persona
- Auto-PyTorch
- -
- penzai
- -
Runtime
- Auto-PyTorch
- -
- penzai
- -
License
- Auto-PyTorch
- Apache-2.0
- penzai
- Penzai operates under an Apache-2.0 license, offering permissive rights for software use, modification, and distribution.
Last pushed
- Auto-PyTorch
- Apr 9, 2024
- penzai
- Jun 22, 2025
Categories
- Auto-PyTorch
- Data & Retrieval, Model Training
- penzai
- Model Training
Trust and health
Days since push
- Auto-PyTorch
- 846d
- penzai
- 427d
Open issues (now)
- Auto-PyTorch
- 75
- penzai
- 21
Stars delta
- Auto-PyTorch
- Unknown
- penzai
- +9 (30d)
Open issues delta
- Auto-PyTorch
- Unknown
- penzai
- +4 (30d)
OSV dependency advisories
- Auto-PyTorch
- Published findings
- penzai
- No lockfile (source not queried)
Full report
- Auto-PyTorch
- Trust report
- penzai
- Trust report
Shared compatibility
- Python · Auto-PyTorch: Python runtime · penzai: Python runtime
Choose Auto-PyTorch if…
- Tags unique to Auto-PyTorch: automl, deep-learning, pytorch, tabular-data.
- 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 penzai if…
- Requirements: Ensure compatibility with Python and JAX libraries as they are crucial for leveraging Penzai's toolkit..
- Tags unique to penzai: fine-tuning, interpretability, jax, neural-networks.
- When your AI development tasks require detailed visualization capabilities for neural networks, as Penzai integrates advanced visual components tailored to these needs.
When NOT to use penzai
- Avoid if you are strictly working with frameworks that do not support or are incompatible with JAX, as Penzai is specifically designed for use within the JAX ecosystem.
- Do not choose Penzai if your project requires a focus on backend model deployment rather than research-oriented functionalities like visualization and interpretability.
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 (google-deepmind/penzai) · observed Aug 24, 2026
- GitHub forks (google-deepmind/penzai) · observed Aug 24, 2026
- Last push (google-deepmind/penzai) · observed Jun 22, 2025
- License file (Apache-2.0) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Auto-PyTorch 2.5k · penzai 1.9k (synced Aug 4, 2026).
Common questions
- What is the difference between Auto-PyTorch and penzai?
- Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. penzai: A JAX research toolkit for building, editing, and visualizing neural networks.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Auto-PyTorch over penzai?
- Choose Auto-PyTorch over penzai when Tags unique to Auto-PyTorch: automl, deep-learning, pytorch, tabular-data; 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 penzai over Auto-PyTorch?
- Choose penzai over Auto-PyTorch when Requirements: Ensure compatibility with Python and JAX libraries as they are crucial for leveraging Penzai's toolkit.; Tags unique to penzai: fine-tuning, interpretability, jax, neural-networks; When your AI development tasks require detailed visualization capabilities for neural networks, as Penzai integrates advanced visual components tailored to these needs.
- 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 penzai?
- Avoid if you are strictly working with frameworks that do not support or are incompatible with JAX, as Penzai is specifically designed for use within the JAX ecosystem. Do not choose Penzai if your project requires a focus on backend model deployment rather than research-oriented functionalities like visualization and interpretability.
- Is Auto-PyTorch or penzai more popular on GitHub?
- Auto-PyTorch has more GitHub stars (2,541 vs 1,901). Stars measure visibility, not whether either tool fits your constraints.
- Are Auto-PyTorch and penzai open source?
- Yes - both are open-source projects on GitHub (Auto-PyTorch: Apache-2.0, penzai: Apache-2.0).
- Where can I find alternatives to Auto-PyTorch or penzai?
- GraphCanon lists graph-backed alternatives at Auto-PyTorch alternatives and penzai alternatives (Auto-PyTorch markdown twin, penzai 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 penzai?
- Auto-PyTorch: Dormant. penzai: 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 Auto-PyTorch and penzai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Auto-PyTorch trust report; penzai trust report.