Comparison
Auto-PyTorch vs archai
Verdict
Pick Auto-PyTorch if auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch; pick archai if archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.
Markdown twin · Auto-PyTorch alternatives · archai alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Auto-PyTorch | archai |
|---|---|---|
| Maintenance | Dormant (846d since push) As of 2w · github_public_v1 | Slowing (252d 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
- archai
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Stars
- Auto-PyTorch
- 2.5k
- archai
- 485
Forks
- Auto-PyTorch
- 303
- archai
- 93
Open issues
- Auto-PyTorch
- 75
- archai
- 4
Language
- Auto-PyTorch
- Python
- archai
- Python
Adopt for
- Auto-PyTorch
- Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.
- archai
- Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.
Persona
- Auto-PyTorch
- -
- archai
- -
Runtime
- Auto-PyTorch
- -
- archai
- -
License
- Auto-PyTorch
- Apache-2.0
- archai
- MIT
Last pushed
- Auto-PyTorch
- Apr 9, 2024
- archai
- Nov 24, 2025
Categories
- Auto-PyTorch
- Data & Retrieval, Model Training
- archai
- Model Training
Trust and health
Maintenance
- Auto-PyTorch
- Dormant (18%)
- archai
- Slowing (36%)
Days since push
- Auto-PyTorch
- 846d
- archai
- 252d
Open issues (now)
- Auto-PyTorch
- 75
- archai
- 4
OSV dependency advisories
- Auto-PyTorch
- Published findings
- archai
- No lockfile (source not queried)
Full report
- Auto-PyTorch
- Trust report
- archai
- Trust report
Shared compatibility
- Python · Auto-PyTorch: Python runtime · archai: Python runtime
Choose Auto-PyTorch if…
- License: Auto-PyTorch is Apache-2.0, archai is MIT.
- 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 archai if…
- License: archai is MIT, Auto-PyTorch is Apache-2.0.
- Tags unique to archai: automated-machine-learning, darts, hyperparameter-optimization, model-compression.
- Need rapid iteration in NAS projects while ensuring reproducibility
When NOT to use archai
- Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions
- Development occurs outside Python 3.8+, limiting the application of Archai tools
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 (microsoft/archai) · observed Aug 4, 2026
- GitHub forks (microsoft/archai) · observed Aug 4, 2026
- Last push (microsoft/archai) · observed Nov 24, 2025
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Auto-PyTorch 2.5k · archai 485 (synced Aug 4, 2026).
Common questions
- What is the difference between Auto-PyTorch and archai?
- Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Auto-PyTorch over archai?
- Choose Auto-PyTorch over archai when License: Auto-PyTorch is Apache-2.0, archai is MIT; 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 archai over Auto-PyTorch?
- Choose archai over Auto-PyTorch when License: archai is MIT, Auto-PyTorch is Apache-2.0; Tags unique to archai: automated-machine-learning, darts, hyperparameter-optimization, model-compression; Need rapid iteration in NAS projects while ensuring reproducibility.
- 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 archai?
- Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions Development occurs outside Python 3.8+, limiting the application of Archai tools
- Is Auto-PyTorch or archai more popular on GitHub?
- Auto-PyTorch has more GitHub stars (2,541 vs 485). Stars measure visibility, not whether either tool fits your constraints.
- Are Auto-PyTorch and archai open source?
- Yes - both are open-source projects on GitHub (Auto-PyTorch: Apache-2.0, archai: MIT).
- Where can I find alternatives to Auto-PyTorch or archai?
- GraphCanon lists graph-backed alternatives at Auto-PyTorch alternatives and archai alternatives (Auto-PyTorch markdown twin, archai 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 archai?
- Auto-PyTorch: Dormant. archai: Slowing. 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 archai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Auto-PyTorch trust report; archai trust report.