Comparison
Hypernets vs archai
Verdict
Pick Hypernets if hypernets is an AutoML framework supporting multiple ML frameworks for end-to-end AutoML solutions in specific domains; 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 · Hypernets alternatives · archai alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Hypernets | archai |
|---|---|---|
| Maintenance | Slowing (106d since push) As of 2w · github_public_v1 | Slowing (252d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- Hypernets
- A General Automated Machine Learning framework for building domain-specific AutoML toolkits.
- archai
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Stars
- Hypernets
- 265
- archai
- 485
Forks
- Hypernets
- 39
- archai
- 93
Open issues
- Hypernets
- 0
- archai
- 4
Language
- Hypernets
- Python
- archai
- Python
Adopt for
- Hypernets
- Hypernets is an AutoML framework supporting multiple ML frameworks for end-to-end AutoML solutions in specific domains.
- 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
- Hypernets
- -
- archai
- -
Runtime
- Hypernets
- -
- archai
- -
License
- Hypernets
- Licensed under the Apache-2.0 license, allowing free use and distribution as long as copyright and licensing notices are preserved.
- archai
- MIT
Last pushed
- Hypernets
- Apr 20, 2026
- archai
- Nov 24, 2025
Categories
- Hypernets
- Developer Tools, Model Training
- archai
- Model Training
Trust and health
Days since push
- Hypernets
- 106d
- archai
- 252d
Open issues (now)
- Hypernets
- 0
- archai
- 4
OSV dependency advisories
- Hypernets
- Published findings
- archai
- No lockfile (source not queried)
Full report
- Hypernets
- Trust report
- archai
- Trust report
Shared compatibility
- Python · Hypernets: Python runtime · archai: Python runtime
Choose Hypernets if…
- License: Hypernets is Apache-2.0, archai is MIT.
- Tags unique to Hypernets: keras, lightgbm, pytorch, sklearn.
- Also covers Developer Tools.
- If your project requires integration with TensorFlow, Keras, PyTorch, Scikit-Learn, LightGBM or XGBoost within a single AutoML pipeline
When NOT to use Hypernets
- If the project is limited to only traditional machine learning libraries without deep-learning needs, consider more specialized tools with narrower focus
- Avoid if your team has strict time constraints; Hypernets' setup for domain-specific AutoML might require initial investment in understanding its abstraction layer
Choose archai if…
- License: archai is MIT, Hypernets is Apache-2.0.
- Tags unique to archai: automated-machine-learning, darts, deep-learning, 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 (DataCanvasIO/Hypernets) · observed Aug 4, 2026
- GitHub forks (DataCanvasIO/Hypernets) · observed Aug 4, 2026
- Last push (DataCanvasIO/Hypernets) · observed Apr 20, 2026
- 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: Hypernets 265 · archai 485 (synced Aug 4, 2026).
Common questions
- What is the difference between Hypernets and archai?
- Hypernets: A General Automated Machine Learning framework for building domain-specific AutoML toolkits.. 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 Hypernets over archai?
- Choose Hypernets over archai when License: Hypernets is Apache-2.0, archai is MIT; Tags unique to Hypernets: keras, lightgbm, pytorch, sklearn; Also covers Developer Tools; If your project requires integration with TensorFlow, Keras, PyTorch, Scikit-Learn, LightGBM or XGBoost within a single AutoML pipeline.
- When should I choose archai over Hypernets?
- Choose archai over Hypernets when License: archai is MIT, Hypernets is Apache-2.0; Tags unique to archai: automated-machine-learning, darts, deep-learning, model-compression; Need rapid iteration in NAS projects while ensuring reproducibility.
- When should I avoid Hypernets?
- If the project is limited to only traditional machine learning libraries without deep-learning needs, consider more specialized tools with narrower focus Avoid if your team has strict time constraints; Hypernets' setup for domain-specific AutoML might require initial investment in understanding its abstraction layer
- 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 Hypernets or archai more popular on GitHub?
- archai has more GitHub stars (485 vs 265). Stars measure visibility, not whether either tool fits your constraints.
- Are Hypernets and archai open source?
- Yes - both are open-source projects on GitHub (Hypernets: Apache-2.0, archai: MIT).
- Where can I find alternatives to Hypernets or archai?
- GraphCanon lists graph-backed alternatives at Hypernets alternatives and archai alternatives (Hypernets 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, Hypernets or archai?
- Hypernets: Slowing. 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 Hypernets and archai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Hypernets trust report; archai trust report.