Comparison
nas-env vs archai
Verdict
Pick nas-env if nas-env offers an OpenAI Gym environment for Neural Architecture Search in Python under MIT license; 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 · nas-env alternatives · archai alternatives
GraphCanon updated Oct 2, 2026
10views this month
Trust & integrity
| Signal | nas-env | archai |
|---|---|---|
| Maintenance | Dormant (2341d since push) As of Oct 2, 2026 · github_public_v1 | Very active (1d since push) As of Sep 30, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Oct 2, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 30, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- nas-env
- Simple OpenAI Gym environment for Neural Architecture Search (NAS)
- archai
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Stars
- nas-env
- 31
- archai
- 486
Forks
- nas-env
- 3
- archai
- 95
Open issues
- nas-env
- 0
- archai
- 0
Language
- nas-env
- Python
- archai
- Python
Adopt for
- nas-env
- nas-env offers an OpenAI Gym environment for Neural Architecture Search in Python under MIT license.
- 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
- nas-env
- -
- archai
- -
Runtime
- nas-env
- -
- archai
- -
License
- nas-env
- MIT
- archai
- MIT
Last pushed
- nas-env
- May 4, 2020
- archai
- Sep 28, 2026
Categories
- nas-env
- Model Training
- archai
- Model Training
Trust and health
Maintenance
- nas-env
- Dormant (18%)
- archai
- Very active (96%)
Days since push
- nas-env
- 2341d
- archai
- 1d
Stars delta
- nas-env
- 0 (30d)
- archai
- +1 (30d)
Open issues delta
- nas-env
- 0 (30d)
- archai
- -4 (30d)
Owner type
- nas-env
- User
- archai
- Organization
Full report
- nas-env
- Trust report
- archai
- Trust report
Shared compatibility
- Python · nas-env: Python runtime · archai: Python runtime
Choose nas-env if…
- Tags unique to nas-env: openai-gym, python, reinforcement learning.
- When you need to implement NAS algorithms using reinforcement learning with compatibility to OpenAI Gym
When NOT to use nas-env
- If you require a fully documented package as documentation for nas-env remains under development
- During production phases when stability is crucial because nas-env is still undergoing architectural changes
Choose archai if…
- Tags unique to archai: automated-machine-learning, automl, darts, deep-learning.
- Need rapid iteration in NAS projects while ensuring reproducibility
- More GitHub stars (486 vs 31) - visibility, not fit.
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 (gomerudo/nas-env) · observed Oct 2, 2026
- GitHub forks (gomerudo/nas-env) · observed Oct 2, 2026
- Last push (gomerudo/nas-env) · observed May 4, 2020
- License file (MIT) · observed Oct 2, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/archai) · observed Sep 30, 2026
- GitHub forks (microsoft/archai) · observed Sep 30, 2026
- Last push (microsoft/archai) · observed Sep 28, 2026
- License file (MIT) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: nas-env 31 · archai 486 (synced Oct 2, 2026).
Common questions
- What is the difference between nas-env and archai?
- nas-env: Simple OpenAI Gym environment for Neural Architecture Search (NAS). 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 nas-env over archai?
- Choose nas-env over archai when Tags unique to nas-env: openai-gym, python, reinforcement learning; When you need to implement NAS algorithms using reinforcement learning with compatibility to OpenAI Gym.
- When should I choose archai over nas-env?
- Choose archai over nas-env when Tags unique to archai: automated-machine-learning, automl, darts, deep-learning; Need rapid iteration in NAS projects while ensuring reproducibility; More GitHub stars (486 vs 31) - visibility, not fit.
- When should I avoid nas-env?
- If you require a fully documented package as documentation for nas-env remains under development During production phases when stability is crucial because nas-env is still undergoing architectural changes
- 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 nas-env or archai more popular on GitHub?
- archai has more GitHub stars (486 vs 31). Stars measure visibility, not whether either tool fits your constraints.
- Are nas-env and archai open source?
- Yes - both are open-source projects on GitHub (nas-env: MIT, archai: MIT).
- Where can I find alternatives to nas-env or archai?
- GraphCanon lists graph-backed alternatives at nas-env alternatives and archai alternatives (nas-env 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, nas-env or archai?
- nas-env: Dormant. archai: Very active. 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 nas-env and archai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: nas-env trust report; archai trust report.