Home/Compare/archai vs nni

Comparison

archai vs nni

Verdict

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; pick nni if nNI is an AutoML toolkit that supports feature engineering, neural architecture search, model compression, and hyperparameter tuning with the flexibility of Python programming.

Markdown twin · archai alternatives · nni alternatives

GraphCanon updated 2w

archai logo

archai

microsoft/archai

485pushed Nov 24, 2025
vs
nni logo

nni

microsoft/nni

14kpushed Jul 3, 2024

Trust & integrity

Signalarchainni
Maintenance
Slowing (252d since push)
As of 2w · github_public_v1
Archived (762d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization 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

archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
nni
An open source AutoML toolkit for automating machine learning lifecycle

Stars

archai
485
nni
14k

Forks

archai
93
nni
1.9k

Open issues

archai
4
nni
415

Language

archai
Python
nni
Python

Adopt for

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.
nni
NNI is an AutoML toolkit that supports feature engineering, neural architecture search, model compression, and hyperparameter tuning with the flexibility of Python programming.

Persona

archai
-
nni
-

Runtime

archai
-
nni
-

License

archai
MIT
nni
MIT

Last pushed

archai
Nov 24, 2025
nni
Jul 3, 2024

Categories

archai
Model Training
nni
Model Training

Trust and health

Maintenance

archai
Slowing (36%)
nni
Archived (8%)

Days since push

archai
252d
nni
762d

Archived on GitHub

archai
No
nni
Yes

Open issues (now)

archai
4
nni
415

Full report

Shared compatibility

  • Python · archai: Python runtime · nni: Python runtime

Choose archai if…

  • Tags unique to archai: darts, hyperparameter-optimization, model-compression, nas.
  • Need rapid iteration in NAS projects while ensuring reproducibility
  • More recently updated (last pushed Nov 24, 2025).

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

Choose nni if…

  • Tags unique to nni: bayesian-optimization, data-science, deep-neural-network, distributed.
  • nni ships Docker support for self-hosted deployment.
  • You need to automate extensive parts of your machine learning lifecycle from preprocessing to deployment.

When NOT to use nni

  • You require real-time automated tuning capabilities, as NNI focuses on batch processing and model training scenarios.
  • If your project demands direct integration with specific deep learning frameworks beyond PyTorch and TensorFlow, NNI support is limited to these two environments.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: archai 485 · nni 14k (synced Aug 4, 2026).

Common questions

What is the difference between archai and nni?
archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. nni: An open source AutoML toolkit for automating machine learning lifecycle. See the comparison table for live GitHub stats and shared categories.
When should I choose archai over nni?
Choose archai over nni when Tags unique to archai: darts, hyperparameter-optimization, model-compression, nas; Need rapid iteration in NAS projects while ensuring reproducibility; More recently updated (last pushed Nov 24, 2025).
When should I choose nni over archai?
Choose nni over archai when Tags unique to nni: bayesian-optimization, data-science, deep-neural-network, distributed; nni ships Docker support for self-hosted deployment; You need to automate extensive parts of your machine learning lifecycle from preprocessing to deployment.
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
When should I avoid nni?
You require real-time automated tuning capabilities, as NNI focuses on batch processing and model training scenarios. If your project demands direct integration with specific deep learning frameworks beyond PyTorch and TensorFlow, NNI support is limited to these two environments.
Is archai or nni more popular on GitHub?
nni has more GitHub stars (14,363 vs 485). Stars measure visibility, not whether either tool fits your constraints.
Are archai and nni open source?
Yes - both are open-source projects on GitHub (archai: MIT, nni: MIT).
Where can I find alternatives to archai or nni?
GraphCanon lists graph-backed alternatives at archai alternatives and nni alternatives (archai markdown twin, nni 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, archai or nni?
archai: Slowing. nni: Archived. 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 archai and nni?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: archai trust report; nni trust report.

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