Comparison
autoai vs archai
Verdict
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; 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 · autoai alternatives · archai alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | autoai | archai |
|---|---|---|
| Maintenance | Dormant (496d 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
- autoai
- Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation
- archai
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Stars
- autoai
- 186
- archai
- 485
Forks
- autoai
- 46
- archai
- 93
Open issues
- autoai
- 9
- archai
- 4
Language
- autoai
- Python
- archai
- Python
Adopt for
- autoai
- Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.
- 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
- autoai
- -
- archai
- -
Runtime
- autoai
- -
- archai
- -
License
- autoai
- Apache-2.0
- archai
- MIT
Last pushed
- autoai
- Mar 25, 2025
- archai
- Nov 24, 2025
Categories
- autoai
- Model Training
- archai
- Model Training
Trust and health
Maintenance
- autoai
- Dormant (18%)
- archai
- Slowing (36%)
Days since push
- autoai
- 496d
- archai
- 252d
Open issues (now)
- autoai
- 9
- archai
- 4
OSV dependency advisories
- autoai
- Published findings
- archai
- No lockfile (source not queried)
Full report
- autoai
- Trust report
- archai
- Trust report
Shared compatibility
- Python · autoai: Python runtime · archai: Python runtime
Choose autoai if…
- License: autoai is Apache-2.0, archai is MIT.
- 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.
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.
Choose archai if…
- License: archai is MIT, autoai 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 (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 (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: autoai 186 · archai 485 (synced Aug 4, 2026).
Common questions
- What is the difference between autoai and archai?
- autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. 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 autoai over archai?
- Choose autoai over archai when License: autoai is Apache-2.0, archai is MIT; 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.
- When should I choose archai over autoai?
- Choose archai over autoai when License: archai is MIT, autoai 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 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.
- 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 autoai or archai more popular on GitHub?
- archai has more GitHub stars (485 vs 186). Stars measure visibility, not whether either tool fits your constraints.
- Are autoai and archai open source?
- Yes - both are open-source projects on GitHub (autoai: Apache-2.0, archai: MIT).
- Where can I find alternatives to autoai or archai?
- GraphCanon lists graph-backed alternatives at autoai alternatives and archai alternatives (autoai 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, autoai or archai?
- autoai: 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 autoai and archai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoai trust report; archai trust report.