Comparison
keras vs volcano
Verdict
Pick keras when keras is primarily Python; volcano is Go; pick volcano when volcano is primarily Go; keras is Python.
Markdown twin · keras alternatives · volcano alternatives
GraphCanon updated today
Trust & integrity
| Signal | keras | volcano |
|---|---|---|
| Maintenance | Very active (4d since push) As of today · github_public_v1 | Very active (1d 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
- volcano
- A Cloud Native Batch System (Project under CNCF)
Stars
- keras
- 64k
- volcano
- 5.8k
Forks
- keras
- 20k
- volcano
- 1.4k
Open issues
- keras
- 228
- volcano
- 710
Language
- keras
- Python
- volcano
- Go
Adopt for
- keras
- -
- volcano
- -
Persona
- keras
- -
- volcano
- -
Runtime
- keras
- -
- volcano
- -
License
- keras
- Apache-2.0
- volcano
- Apache-2.0
Last pushed
- keras
- Jul 7, 2026
- volcano
- Jul 10, 2026
Categories
- keras
- Model Training, Inference & Serving
- volcano
- AI Agents, Model Training, Inference & Serving
Trust and health
Days since push
- keras
- 4d
- volcano
- 1d
Open issues (now)
- keras
- 228
- volcano
- 710
Full report
- keras
- Trust report
- volcano
- Trust report
Choose keras if…
- keras is primarily Python; volcano is Go.
- Tags unique to keras: data-science, neural-networks, deep-learning, python.
- More GitHub stars (64k vs 5.8k) - 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 volcano if…
- volcano is primarily Go; keras is Python.
- Tags unique to volcano: ai, batch-systems, gene, bigdata.
- Also covers AI Agents.
When NOT to use volcano
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- 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.
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 (volcano-sh/volcano) · observed Jul 11, 2026
- GitHub forks (volcano-sh/volcano) · observed Jul 11, 2026
- Last push (volcano-sh/volcano) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: keras 64k · volcano 5.8k (synced Jul 11, 2026).
Common questions
- What is the difference between keras and volcano?
- keras: Deep Learning for humans. volcano: A Cloud Native Batch System (Project under CNCF). See the comparison table for live GitHub stats and shared categories.
- When should I choose keras over volcano?
- Choose keras over volcano when keras is primarily Python; volcano is Go; Tags unique to keras: data-science, neural-networks, deep-learning, python; More GitHub stars (64k vs 5.8k) - visibility, not fit.
- When should I choose volcano over keras?
- Choose volcano over keras when volcano is primarily Go; keras is Python; Tags unique to volcano: ai, batch-systems, gene, bigdata; Also covers AI Agents.
- 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 volcano?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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.
- Is keras or volcano more popular on GitHub?
- keras has more GitHub stars (64,191 vs 5,760). Stars measure visibility, not whether either tool fits your constraints.
- Are keras and volcano open source?
- Yes - both are open-source projects on GitHub (keras: Apache-2.0, volcano: Apache-2.0).
- Where can I find alternatives to keras or volcano?
- GraphCanon lists graph-backed alternatives at keras alternatives and volcano alternatives (keras markdown twin, volcano 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 volcano?
- keras: Very active. volcano: 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 volcano?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: keras trust report; volcano trust report.