Comparison
Auto-PyTorch vs autoai
Verdict
Pick Auto-PyTorch if auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch; pick autoai if python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.
Markdown twin · Auto-PyTorch alternatives · autoai alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Auto-PyTorch | autoai |
|---|---|---|
| Maintenance | Dormant (846d since push) As of 2w · github_public_v1 | Dormant (496d 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 | 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
- Auto-PyTorch
- Automatic architecture search and hyperparameter optimization for PyTorch
- autoai
- Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation
Stars
- Auto-PyTorch
- 2.5k
- autoai
- 186
Forks
- Auto-PyTorch
- 303
- autoai
- 46
Open issues
- Auto-PyTorch
- 75
- autoai
- 9
Language
- Auto-PyTorch
- Python
- autoai
- Python
Adopt for
- Auto-PyTorch
- Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.
- autoai
- Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.
Persona
- Auto-PyTorch
- -
- autoai
- -
Runtime
- Auto-PyTorch
- -
- autoai
- -
License
- Auto-PyTorch
- Apache-2.0
- autoai
- Apache-2.0
Last pushed
- Auto-PyTorch
- Apr 9, 2024
- autoai
- Mar 25, 2025
Categories
- Auto-PyTorch
- Data & Retrieval, Model Training
- autoai
- Model Training
Trust and health
Days since push
- Auto-PyTorch
- 846d
- autoai
- 496d
Open issues (now)
- Auto-PyTorch
- 75
- autoai
- 9
Full report
- Auto-PyTorch
- Trust report
- autoai
- Trust report
Shared compatibility
- Python · Auto-PyTorch: Python runtime · autoai: Python runtime
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.
Choose autoai if…
- Tags unique to autoai: ai, autoai, codegen, machine-learning.
- Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
- More recently updated (last pushed Mar 25, 2025).
When NOT to use autoai
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing.
- Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
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 (blobcity/autoai) · observed Aug 4, 2026
- GitHub forks (blobcity/autoai) · observed Aug 4, 2026
- Last push (blobcity/autoai) · observed Mar 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 on cards: Auto-PyTorch 2.5k · autoai 186 (synced Aug 4, 2026).
Common questions
- What is the difference between Auto-PyTorch and autoai?
- Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. See the comparison table for live GitHub stats and shared categories.
- When should I choose Auto-PyTorch over autoai?
- Choose Auto-PyTorch over autoai 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 choose autoai over Auto-PyTorch?
- Choose autoai over Auto-PyTorch when Tags unique to autoai: ai, autoai, codegen, machine-learning; Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets; More recently updated (last pushed Mar 25, 2025).
- 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 autoai?
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing. Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
- Is Auto-PyTorch or autoai more popular on GitHub?
- Auto-PyTorch has more GitHub stars (2,541 vs 186). Stars measure visibility, not whether either tool fits your constraints.
- Are Auto-PyTorch and autoai open source?
- Yes - both are open-source projects on GitHub (Auto-PyTorch: Apache-2.0, autoai: Apache-2.0).
- Where can I find alternatives to Auto-PyTorch or autoai?
- GraphCanon lists graph-backed alternatives at Auto-PyTorch alternatives and autoai alternatives (Auto-PyTorch markdown twin, autoai 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 autoai?
- Auto-PyTorch: Dormant. autoai: 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 autoai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Auto-PyTorch trust report; autoai trust report.