Comparison
nas-env vs accelerate
Verdict
Pick nas-env if nas-env offers an OpenAI Gym environment for Neural Architecture Search in Python under MIT license; pick accelerate if tool: accelerate.
Markdown twin · nas-env alternatives · accelerate alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | nas-env | accelerate |
|---|---|---|
| Maintenance | Dormant (2282d since push) As of 2w · github_public_v1 | Very active (3d 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)
- accelerate
- A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.
Stars
- nas-env
- 31
- accelerate
- 9.8k
Forks
- nas-env
- 3
- accelerate
- 1.4k
Open issues
- nas-env
- 0
- accelerate
- 105
Language
- nas-env
- Python
- accelerate
- Python
Adopt for
- nas-env
- nas-env offers an OpenAI Gym environment for Neural Architecture Search in Python under MIT license.
- accelerate
- Tool: accelerate
Persona
- nas-env
- -
- accelerate
- -
Runtime
- nas-env
- -
- accelerate
- -
License
- nas-env
- MIT
- accelerate
- Apache-2.0
Last pushed
- nas-env
- May 4, 2020
- accelerate
- Jul 30, 2026
Categories
- nas-env
- Model Training
- accelerate
- Inference & Serving, Model Training
Trust and health
Maintenance
- nas-env
- Dormant (18%)
- accelerate
- Very active (96%)
Days since push
- nas-env
- 2282d
- accelerate
- 3d
Open issues (now)
- nas-env
- 0
- accelerate
- 105
Owner type
- nas-env
- User
- accelerate
- Organization
Full report
- nas-env
- Trust report
- accelerate
- Trust report
Shared compatibility
- Python · nas-env: Python runtime · accelerate: Python runtime
Choose nas-env if…
- License: nas-env is MIT, accelerate is Apache-2.0.
- Tags unique to nas-env: neural-architecture-search, 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 accelerate if…
- License: accelerate is Apache-2.0, nas-env is MIT.
- Tags unique to accelerate: deepspeed, fsdp, mixed precision, pytorch.
- Also covers Inference & Serving.
- Easy mixed-precision support for PyTorch models
When NOT to use accelerate
- Non-PyTorch projects do not benefit from this tool
- Doesnt offer advanced auto-tuning features for other frameworks like TensorFlow
- Limited to Python environments compatible with PyTorch 1.10.0+
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 Aug 4, 2026
- GitHub forks (gomerudo/nas-env) · observed Aug 4, 2026
- Last push (gomerudo/nas-env) · observed May 4, 2020
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (huggingface/accelerate) · observed Aug 3, 2026
- GitHub forks (huggingface/accelerate) · observed Aug 3, 2026
- Last push (huggingface/accelerate) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: nas-env 31 · accelerate 9.8k (synced Aug 4, 2026).
Common questions
- What is the difference between nas-env and accelerate?
- nas-env: Simple OpenAI Gym environment for Neural Architecture Search (NAS). accelerate: A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.. See the comparison table for live GitHub stats and shared categories.
- When should I choose nas-env over accelerate?
- Choose nas-env over accelerate when License: nas-env is MIT, accelerate is Apache-2.0; Tags unique to nas-env: neural-architecture-search, openai-gym, python, reinforcement-learning; When you need to implement NAS algorithms using reinforcement learning with compatibility to OpenAI Gym.
- When should I choose accelerate over nas-env?
- Choose accelerate over nas-env when License: accelerate is Apache-2.0, nas-env is MIT; Tags unique to accelerate: deepspeed, fsdp, mixed precision, pytorch; Also covers Inference & Serving; Easy mixed-precision support for PyTorch models.
- 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 accelerate?
- Non-PyTorch projects do not benefit from this tool Doesnt offer advanced auto-tuning features for other frameworks like TensorFlow Limited to Python environments compatible with PyTorch 1.10.0+
- Is nas-env or accelerate more popular on GitHub?
- accelerate has more GitHub stars (9,803 vs 31). Stars measure visibility, not whether either tool fits your constraints.
- Are nas-env and accelerate open source?
- Yes - both are open-source projects on GitHub (nas-env: MIT, accelerate: Apache-2.0).
- Where can I find alternatives to nas-env or accelerate?
- GraphCanon lists graph-backed alternatives at nas-env alternatives and accelerate alternatives (nas-env markdown twin, accelerate 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 accelerate?
- nas-env: Dormant. accelerate: 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 accelerate?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: nas-env trust report; accelerate trust report.