---
title: "caffe vs graph"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-cosmosgl-graph"
tools: ["bvlc-caffe", "cosmosgl-graph"]
---

# caffe vs graph

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick caffe when caffe is primarily C++; graph is TypeScript; pick graph when graph is primarily TypeScript; caffe is C++.

[caffe](http://caffe.berkeleyvision.org/) reports 35k GitHub stars, 18k forks, and 1.2k open issues, last pushed Jul 31, 2024. [graph](https://cosmos.gl) has 1.2k stars, 83 forks, and 18 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [graph's repository](https://github.com/cosmosgl/graph).

| | [caffe](/tools/bvlc-caffe.md) | [graph](/tools/cosmosgl-graph.md) |
| --- | --- | --- |
| Tagline | Caffe: a fast open framework for deep learning. | GPU-accelerated force graph layout and rendering |
| Stars | 34,574 | 1,193 |
| Forks | 18,458 | 83 |
| Open issues | 1,209 | 18 |
| Language | C++ | TypeScript |
| Adopt for | - | CosmosGL/graph provides GPU-accelerated techniques for creating and rendering force-directed layouts. This makes it particularly apt for users who need to visualize complex networks efficiently. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | MIT License |
| Categories | Vector Databases, Computer Vision | Vector Databases, Data & Retrieval |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [caffe](/tools/bvlc-caffe.md) | [graph](/tools/cosmosgl-graph.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 710d | 0d |
| Open issues (now) | 1.2k | 18 |
| Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/cosmosgl-graph/trust.md) |

## Decision facts: graph

- **Pricing:** freemium - Free and open-source under the MIT license.
- **Requirements:** Requires a WebGL-supported environment
- **Adopt for:** CosmosGL/graph provides GPU-accelerated techniques for creating and rendering force-directed layouts. This makes it particularly apt for users who need to visualize complex networks efficiently.
- **License detail:** MIT License

## Choose when

### Choose caffe if…

- caffe is primarily C++; graph is TypeScript.
- License: caffe is Other, graph is MIT.
- Tags unique to caffe: deep-learning, vision, machine-learning, c++.
- Also covers Computer Vision.

### Choose graph if…

- graph is primarily TypeScript; caffe is C++.
- License: graph is MIT, caffe is Other.
- Pricing: Free and open-source under the MIT license..
- Requirements: Requires a WebGL-supported environment.
- Tags unique to graph: force, webgl, embeddings, graph.
- Also covers Data & Retrieval.
- - When you require rapid visualization of large, complex network structures due to its GPU acceleration

## When NOT to use caffe

- Last GitHub push was 710 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 graph

- - If your project does not involve visualizing complex networks as this tool's forte lies in force-directed graphical representations
- - When working with systems or frameworks that do not support WebGL, since CosmosGL/graph relies on it for rendering

## Common questions

### What is the difference between caffe and graph?

caffe: Caffe: a fast open framework for deep learning.. graph: GPU-accelerated force graph layout and rendering. See the comparison table for live GitHub stats and shared categories.

### When should I choose caffe over graph?

Choose caffe over graph when caffe is primarily C++; graph is TypeScript; License: caffe is Other, graph is MIT; Tags unique to caffe: deep-learning, vision, machine-learning, c++; Also covers Computer Vision.

### When should I choose graph over caffe?

Choose graph over caffe when graph is primarily TypeScript; caffe is C++; License: graph is MIT, caffe is Other; Pricing: Free and open-source under the MIT license.; Requirements: Requires a WebGL-supported environment; Tags unique to graph: force, webgl, embeddings, graph; Also covers Data & Retrieval; - When you require rapid visualization of large, complex network structures due to its GPU acceleration.

### When should I avoid caffe?

Last GitHub push was 710 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 graph?

- If your project does not involve visualizing complex networks as this tool's forte lies in force-directed graphical representations - When working with systems or frameworks that do not support WebGL, since CosmosGL/graph relies on it for rendering

### Is caffe or graph more popular on GitHub?

caffe has more GitHub stars (34,574 vs 1,193). Stars measure visibility, not whether either tool fits your constraints.

### Are caffe and graph open source?

Yes - both are open-source projects on GitHub (caffe: Other, graph: MIT).

### Where can I find alternatives to caffe or graph?

GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [graph alternatives](/tools/cosmosgl-graph/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [graph markdown twin](/tools/cosmosgl-graph/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-cosmosgl-graph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, caffe or graph?

caffe: Dormant. graph: 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 graph?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [graph trust report](/tools/cosmosgl-graph/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/_
