--- title: "graph vs tensorspace" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cosmosgl-graph-vs-tensorspace-team-tensorspace" tools: ["cosmosgl-graph", "tensorspace-team-tensorspace"] --- # graph vs tensorspace *GraphCanon updated Aug 22, 2026* ## Verdict Pick graph if 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; pick tensorspace if a JavaScript framework enabling interactive browser-based 3D visualization for neural networks from TensorFlow, Keras, and TensorFlow.js. [graph](https://cosmos.gl) reports 1.3k GitHub stars, 83 forks, and 9 open issues, last pushed Aug 20, 2026. [tensorspace](https://tensorspace.org) has 5.2k stars, 450 forks, and 28 open issues, last pushed Dec 5, 2022. Figures are from public GitHub metadata via [graph's repository](https://github.com/cosmosgl/graph) and [tensorspace's repository](https://github.com/tensorspace-team/tensorspace). | | [graph](/tools/cosmosgl-graph.md) | [tensorspace](/tools/tensorspace-team-tensorspace.md) | | --- | --- | --- | | Tagline | GPU-accelerated force graph layout and rendering | Neural network 3D visualization framework for interactive models in browsers | | Stars | 1,256 | 5,191 | | Forks | 83 | 450 | | Open issues | 9 | 28 | | Language | TypeScript | JavaScript | | 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. | A JavaScript framework enabling interactive browser-based 3D visualization for neural networks from TensorFlow, Keras, and TensorFlow.js. | | Persona | - | - | | Runtime | - | - | | License | MIT License | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [graph](/tools/cosmosgl-graph.md) | [tensorspace](/tools/tensorspace-team-tensorspace.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 2d | 1336d | | Open issues (now) | 9 | 28 | | Stars delta | +37 (30d) | Unknown | | Open issues delta | -3 (30d) | Unknown | | Full report | [trust report](/tools/cosmosgl-graph/trust.md) | [trust report](/tools/tensorspace-team-tensorspace/trust.md) | ## Shared compatibility - **Node.js**: [graph](/tools/cosmosgl-graph.md) - Node.js runtime; [tensorspace](/tools/tensorspace-team-tensorspace.md) - Node.js runtime ## 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 ## Decision facts: tensorspace - **Adopt for:** A JavaScript framework enabling interactive browser-based 3D visualization for neural networks from TensorFlow, Keras, and TensorFlow.js. ## Choose when ### Choose graph if… - graph is primarily TypeScript; tensorspace is JavaScript. - License: graph is MIT, tensorspace is Apache-2.0. - Pricing: Free and open-source under the MIT license.. - Requirements: Requires a WebGL-supported environment. - Tags unique to graph: embeddings, force, graph, network. - Also covers Data & Retrieval, Vector Databases. - - When you require rapid visualization of large, complex network structures due to its GPU acceleration ### Choose tensorspace if… - tensorspace is primarily JavaScript; graph is TypeScript. - License: tensorspace is Apache-2.0, graph is MIT. - Tags unique to tensorspace: 3d, deep-learning, javascript, keras. - Also covers Developer Tools. - Project requires real-time visual insights into pre-trained deep learning models directly in web browsers. ## 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 ## When NOT to use tensorspace - Team lacks expertise in JavaScript, as tensorspace primarily relies on this language for integration and execution. - Project needs offline visualization capabilities since tensorspace operates exclusively within web browsers requiring internet access. ## Common questions ### What is the difference between graph and tensorspace? graph: GPU-accelerated force graph layout and rendering. tensorspace: Neural network 3D visualization framework for interactive models in browsers. See the comparison table for live GitHub stats and shared categories. ### When should I choose graph over tensorspace? Choose graph over tensorspace when graph is primarily TypeScript; tensorspace is JavaScript; License: graph is MIT, tensorspace is Apache-2.0; Pricing: Free and open-source under the MIT license.; Requirements: Requires a WebGL-supported environment; Tags unique to graph: embeddings, force, graph, network; Also covers Data & Retrieval, Vector Databases; - When you require rapid visualization of large, complex network structures due to its GPU acceleration. ### When should I choose tensorspace over graph? Choose tensorspace over graph when tensorspace is primarily JavaScript; graph is TypeScript; License: tensorspace is Apache-2.0, graph is MIT; Tags unique to tensorspace: 3d, deep-learning, javascript, keras; Also covers Developer Tools; Project requires real-time visual insights into pre-trained deep learning models directly in web browsers. ### 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 ### When should I avoid tensorspace? Team lacks expertise in JavaScript, as tensorspace primarily relies on this language for integration and execution. Project needs offline visualization capabilities since tensorspace operates exclusively within web browsers requiring internet access. ### Is graph or tensorspace more popular on GitHub? tensorspace has more GitHub stars (5,191 vs 1,256). Stars measure visibility, not whether either tool fits your constraints. ### Are graph and tensorspace open source? Yes - both are open-source projects on GitHub (graph: MIT, tensorspace: Apache-2.0). ### Where can I find alternatives to graph or tensorspace? GraphCanon lists graph-backed alternatives at [graph alternatives](/tools/cosmosgl-graph/alternatives) and [tensorspace alternatives](/tools/tensorspace-team-tensorspace/alternatives) ([graph markdown twin](/tools/cosmosgl-graph/alternatives.md), [tensorspace markdown twin](/tools/tensorspace-team-tensorspace/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/cosmosgl-graph-vs-tensorspace-team-tensorspace.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, graph or tensorspace? graph: Very active. tensorspace: Dormant. 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 graph and tensorspace? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [graph trust report](/tools/cosmosgl-graph/trust); [tensorspace trust report](/tools/tensorspace-team-tensorspace/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cosmosgl-graph`](/api/graphcanon/graph?tool=cosmosgl-graph) - 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/_