--- title: "keras vs volcano" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/keras-team-keras-vs-volcano-sh-volcano" tools: ["keras-team-keras", "volcano-sh-volcano"] --- # keras vs volcano *GraphCanon updated Jul 12, 2026* ## Verdict Pick keras when keras is primarily Python; volcano is Go; pick volcano when volcano is primarily Go; keras is Python. [keras](http://keras.io/) reports 64k GitHub stars, 20k forks, and 228 open issues, last pushed Jul 7, 2026. [volcano](https://volcano.sh) has 5.8k stars, 1.4k forks, and 710 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [keras's repository](https://github.com/keras-team/keras) and [volcano's repository](https://github.com/volcano-sh/volcano). | | [keras](/tools/keras-team-keras.md) | [volcano](/tools/volcano-sh-volcano.md) | | --- | --- | --- | | Tagline | Deep Learning for humans | A Cloud Native Batch System (Project under CNCF) | | Stars | 64,191 | 5,760 | | Forks | 19,752 | 1,444 | | Open issues | 228 | 710 | | Language | Python | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Model Training | AI Agents, Model Training, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [keras](/tools/keras-team-keras.md) | [volcano](/tools/volcano-sh-volcano.md) | | --- | --- | --- | | Days since push | 4d | 1d | | Open issues (now) | 228 | 710 | | Full report | [trust report](/tools/keras-team-keras/trust.md) | [trust report](/tools/volcano-sh-volcano/trust.md) | ## Choose when ### 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. ### Choose volcano if… - volcano is primarily Go; keras is Python. - Tags unique to volcano: ai, batch-systems, gene, bigdata. - Also covers AI Agents, Inference & Serving. ## When NOT to use keras - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## 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. ## 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, Inference & Serving. ### When should I avoid keras? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### 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](/tools/keras-team-keras/alternatives) and [volcano alternatives](/tools/volcano-sh-volcano/alternatives) ([keras markdown twin](/tools/keras-team-keras/alternatives.md), [volcano markdown twin](/tools/volcano-sh-volcano/alternatives.md)), 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](/compare/keras-team-keras-vs-volcano-sh-volcano.md) 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](/tools/keras-team-keras/trust); [volcano trust report](/tools/volcano-sh-volcano/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=keras-team-keras`](/api/graphcanon/graph?tool=keras-team-keras) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_