Enterprise DNAEnterprise DNA

Open Source

NASGym

A simple OpenAI Gym environment for Neural Architecture Search (NAS)

Our verdict

Not reviewed yet

We have not reviewed NASGym yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About NASGym

NASGym is a Python package that implements an OpenAI Gym environment for Neural Architecture Search (NAS). It provides a standardized interface for reinforcement learning agents to explore and evaluate neural network architectures. The tool is designed as a simple, community-maintained resource for prototyping NAS algorithms.

Best for

Researchers and hobbyists exploring reinforcement learning for neural architecture search in a lightweight environment.

Use cases

  • Prototyping reinforcement learning based neural architecture search
  • Benchmarking RL agents against a standardized NAS environment
  • Educational experiments in automated machine learning

Notes

31 stars on GitHub. Last updated 2020-05-04. Licensed MIT.

Pros

  • Leverages the well-known OpenAI Gym API for ease of integration
  • Lightweight and simple to set up for rapid experimentation
  • Open source with a permissive license for modification

Cons

  • Limited community adoption (31 stars) suggesting less support and documentation
  • May lack features for production-scale or complex search spaces
  • No active maintenance or updates visible from repository activity

Key facts

What we have checked

Days since the last commit
2,376
Checked GitHub
GitHub forks
3
Checked GitHub
GitHub stars
31
Checked GitHub
Open issues
0
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How NASGym is growing

GitHub stars

31 to 31

stars. 12 July 2026 to 6 Nov 2026, 3 readings.

Source: GitHub. Checked .

Health and security

Is NASGym looked after, and what do its setup files show

Health score

0 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity0 of 30Last push 2,376 days ago
Releases0 of 150 releases in 90 days
Issue repliesNot countedThe latest check has no issue response reading (fewer than 3 measured issues, or issues switched off)
Maintainer0 of 15Owned by a single user
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.