Comparison
autokeras vs nni
Verdict
Pick autokeras if autoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+; 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 · autokeras alternatives · nni alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | autokeras | nni |
|---|---|---|
| Maintenance | Slowing (251d since push) As of 3w · github_public_v1 | Archived (762d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- autokeras
- AutoML library for deep learning
- nni
- An open source AutoML toolkit for automating machine learning lifecycle
Stars
- autokeras
- 9.3k
- nni
- 14k
Forks
- autokeras
- 1.4k
- nni
- 1.9k
Open issues
- autokeras
- 161
- nni
- 415
Language
- autokeras
- Python
- nni
- Python
Adopt for
- autokeras
- AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
- 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
- autokeras
- -
- nni
- -
Runtime
- autokeras
- -
- nni
- -
License
- autokeras
- Apache-2.0
- nni
- MIT
Last pushed
- autokeras
- Nov 25, 2025
- nni
- Jul 3, 2024
Categories
- autokeras
- Developer Tools, Model Training
- nni
- Model Training
Trust and health
Maintenance
- autokeras
- Slowing (36%)
- nni
- Archived (8%)
Days since push
- autokeras
- 251d
- nni
- 762d
Archived on GitHub
- autokeras
- No
- nni
- Yes
Open issues (now)
- autokeras
- 161
- nni
- 415
Full report
- autokeras
- Trust report
- nni
- Trust report
Shared compatibility
- Python · autokeras: Python runtime · nni: Python runtime
Choose autokeras if…
- License: autokeras is Apache-2.0, nni is MIT.
- Tags unique to autokeras: autodl, keras, machine-learning, neural-architecture-search.
- Also covers Developer Tools.
- When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When NOT to use autokeras
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible.
- If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
Choose nni if…
- License: nni is MIT, autokeras is Apache-2.0.
- Tags unique to nni: automated-machine-learning, bayesian-optimization, data-science, deep-neural-network.
- 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 (keras-team/autokeras) · observed Aug 4, 2026
- GitHub forks (keras-team/autokeras) · observed Aug 4, 2026
- Last push (keras-team/autokeras) · observed Nov 25, 2025
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/nni) · observed Aug 4, 2026
- GitHub forks (microsoft/nni) · observed Aug 4, 2026
- Last push (microsoft/nni) · observed Jul 3, 2024
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autokeras 9.3k · nni 14k (synced Aug 4, 2026).
Common questions
- What is the difference between autokeras and nni?
- autokeras: AutoML library for deep learning. 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 autokeras over nni?
- Choose autokeras over nni when License: autokeras is Apache-2.0, nni is MIT; Tags unique to autokeras: autodl, keras, machine-learning, neural-architecture-search; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
- When should I choose nni over autokeras?
- Choose nni over autokeras when License: nni is MIT, autokeras is Apache-2.0; Tags unique to nni: automated-machine-learning, bayesian-optimization, data-science, deep-neural-network; 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 autokeras?
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
- 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 autokeras or nni more popular on GitHub?
- nni has more GitHub stars (14,363 vs 9,328). Stars measure visibility, not whether either tool fits your constraints.
- Are autokeras and nni open source?
- Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, nni: MIT).
- Where can I find alternatives to autokeras or nni?
- GraphCanon lists graph-backed alternatives at autokeras alternatives and nni alternatives (autokeras 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, autokeras or nni?
- autokeras: 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 autokeras and nni?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autokeras trust report; nni trust report.