Open Source · Observability
Archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Our verdict
We have not reviewed Archai 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.
From the listing
About Archai
Archai is a Python framework for Neural Architecture Search (NAS). It accelerates research through fast, reproducible, and modular tools for automating neural network design.
Best for
Researchers and engineers automating neural architecture design
Use cases
- Automating neural architecture design for deep learning models
- Running reproducible NAS experiments with modular components
- Exploring and comparing architecture search algorithms
Notes
485 stars on GitHub. Last updated 2025-11-24. Licensed MIT.
Pros
- Open-source with an active community (485 GitHub stars)
- Emphasizes reproducibility and modularity for research
- Python-based, easy to integrate into existing workflows
Cons
- Focused solely on NAS, not a general observability tool
- Requires deep learning expertise to use effectively
- Community support may be less responsive than commercial alternatives
Key facts
What we have checked
- Latest version
- 1.0.0 (released 15 Sept 2023)
- GitHub stars
- 486
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 Archai is growing
485 to 486
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
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
Released 1.0.0
Released 0.7.0
Released 0.6.9
Pairs with
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