--- title: "caffe vs galaxy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-galaxyproject-galaxy" tools: ["bvlc-caffe", "galaxyproject-galaxy"] --- # caffe vs galaxy *GraphCanon updated Jul 15, 2026* ## Verdict Pick caffe when caffe is primarily C++; galaxy is Python; pick galaxy when galaxy is primarily Python; caffe is C++. [caffe](http://caffe.berkeleyvision.org/) reports 35k GitHub stars, 18k forks, and 1.2k open issues, last pushed Jul 31, 2024. [galaxy](https://galaxyproject.org) has 1.8k stars, 1.2k forks, and 2.8k open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [galaxy's repository](https://github.com/galaxyproject/galaxy). | | [caffe](/tools/bvlc-caffe.md) | [galaxy](/tools/galaxyproject-galaxy.md) | | --- | --- | --- | | Tagline | Caffe: a fast open framework for deep learning. | Data intensive science for everyone. | | Stars | 34,574 | 1,811 | | Forks | 18,458 | 1,158 | | Open issues | 1,209 | 2,764 | | Language | C++ | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | Computer Vision, Vector Databases | Computer Vision, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [galaxy](/tools/galaxyproject-galaxy.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 710d | 0d | | Open issues (now) | 1.2k | 2.8k | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/galaxyproject-galaxy/trust.md) | ## Choose when ### Choose caffe if… - caffe is primarily C++; galaxy is Python. - Tags unique to caffe: c#, deep-learning, machine-learning, vision. - More GitHub stars (35k vs 1.8k) - visibility, not fit. ### Choose galaxy if… - galaxy is primarily Python; caffe is C++. - Tags unique to galaxy: bioinformatics, dna, genomics, hacktoberfest. - Also covers Model Training. ## When NOT to use caffe - Last GitHub push was 713 days ago (dormant maintenance, Jul 31, 2024). Validate activity before betting a new project on caffe. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use galaxy - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between caffe and galaxy? caffe: Caffe: a fast open framework for deep learning.. galaxy: Data intensive science for everyone.. See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over galaxy? Choose caffe over galaxy when caffe is primarily C++; galaxy is Python; Tags unique to caffe: c#, deep-learning, machine-learning, vision; More GitHub stars (35k vs 1.8k) - visibility, not fit. ### When should I choose galaxy over caffe? Choose galaxy over caffe when galaxy is primarily Python; caffe is C++; Tags unique to galaxy: bioinformatics, dna, genomics, hacktoberfest; Also covers Model Training. ### When should I avoid caffe? Last GitHub push was 713 days ago (dormant maintenance, Jul 31, 2024). Validate activity before betting a new project on caffe. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid galaxy? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is caffe or galaxy more popular on GitHub? caffe has more GitHub stars (34,574 vs 1,811). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and galaxy open source? Yes - both are open-source projects on GitHub (caffe: Other, galaxy: Other). ### Where can I find alternatives to caffe or galaxy? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [galaxy alternatives](/tools/galaxyproject-galaxy/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [galaxy markdown twin](/tools/galaxyproject-galaxy/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/bvlc-caffe-vs-galaxyproject-galaxy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or galaxy? caffe: Dormant. galaxy: 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 caffe and galaxy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [galaxy trust report](/tools/galaxyproject-galaxy/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bvlc-caffe`](/api/graphcanon/graph?tool=bvlc-caffe) - 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/_