Home/Compare/nas-env vs archai

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 2w

nas-env logo

nas-env

gomerudo/nas-env

31pushed May 4, 2020
vs
archai logo

archai

microsoft/archai

485pushed Nov 24, 2025

Trust & integrity

Signalnas-envarchai
Maintenance
Dormant (2282d since push)
As of 2w · github_public_v1
Slowing (252d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

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
485

Forks

nas-env
3
archai
93

Open issues

nas-env
0
archai
4

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
Nov 24, 2025

Categories

nas-env
Model Training
archai
Model Training

Trust and health

Maintenance

nas-env
Dormant (18%)
archai
Slowing (36%)

Days since push

nas-env
2282d
archai
252d

Open issues (now)

nas-env
0
archai
4

Owner type

nas-env
User
archai
Organization

Full 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
  • Leaner open-issue backlog (0).

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 (485 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 on cards: nas-env 31 · archai 485 (synced Aug 4, 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; Leaner open-issue backlog (0).
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 (485 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 (485 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: 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 nas-env and archai?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: nas-env trust report; archai trust report.

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