Comparison
keras vs model-optimization
Verdict
Pick keras when tags unique to keras: data-science, neural-networks, python, pytorch; pick model-optimization when tags unique to model-optimization: model-compression, ml, compression, optimization.
Markdown twin · keras alternatives · model-optimization alternatives
GraphCanon updated today
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Trust & integrity
| Signal | keras | model-optimization |
|---|---|---|
| Maintenance | Very active (4d since push) As of today · github_public_v1 | Very active (5d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No criticals As of today · osv@v1 | No criticals As of today · osv@v1 |
Tagline
- keras
- Deep Learning for humans
- model-optimization
- A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Stars
- keras
- 64k
- model-optimization
- 1.6k
Forks
- keras
- 20k
- model-optimization
- 348
Open issues
- keras
- 228
- model-optimization
- 249
Language
- keras
- Python
- model-optimization
- Python
Adopt for
- keras
- -
- model-optimization
- -
Persona
- keras
- -
- model-optimization
- -
Runtime
- keras
- -
- model-optimization
- -
License
- keras
- Apache-2.0
- model-optimization
- Apache-2.0
Last pushed
- keras
- Jul 7, 2026
- model-optimization
- Jul 6, 2026
Categories
- keras
- Model Training, Inference & Serving
- model-optimization
- Model Training, Developer Tools, Inference & Serving
Trust and health
Days since push
- keras
- 4d
- model-optimization
- 5d
Open issues (now)
- keras
- 228
- model-optimization
- 249
Full report
- keras
- Trust report
- model-optimization
- Trust report
Choose keras if…
- Tags unique to keras: data-science, neural-networks, python, pytorch.
- More GitHub stars (64k vs 1.6k) - visibility, not fit.
When NOT to use keras
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose model-optimization if…
- Tags unique to model-optimization: model-compression, ml, compression, optimization.
- Also covers Developer Tools.
When NOT to use model-optimization
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (keras-team/keras) · observed Jul 11, 2026
- GitHub forks (keras-team/keras) · observed Jul 11, 2026
- Last push (keras-team/keras) · observed Jul 7, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorflow/model-optimization) · observed Jul 11, 2026
- GitHub forks (tensorflow/model-optimization) · observed Jul 11, 2026
- Last push (tensorflow/model-optimization) · observed Jul 6, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: keras 64k · model-optimization 1.6k (synced Jul 11, 2026).
Common questions
- What is the difference between keras and model-optimization?
- keras: Deep Learning for humans. model-optimization: A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.. See the comparison table for live GitHub stats and shared categories.
- When should I choose keras over model-optimization?
- Choose keras over model-optimization when Tags unique to keras: data-science, neural-networks, python, pytorch; More GitHub stars (64k vs 1.6k) - visibility, not fit.
- When should I choose model-optimization over keras?
- Choose model-optimization over keras when Tags unique to model-optimization: model-compression, ml, compression, optimization; Also covers Developer Tools.
- When should I avoid keras?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid model-optimization?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is keras or model-optimization more popular on GitHub?
- keras has more GitHub stars (64,191 vs 1,573). Stars measure visibility, not whether either tool fits your constraints.
- Are keras and model-optimization open source?
- Yes - both are open-source projects on GitHub (keras: Apache-2.0, model-optimization: Apache-2.0).
- Where can I find alternatives to keras or model-optimization?
- GraphCanon lists graph-backed alternatives at keras alternatives and model-optimization alternatives (keras markdown twin, model-optimization 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, keras or model-optimization?
- keras: Very active. model-optimization: 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 keras and model-optimization?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: keras trust report; model-optimization trust report.