--- title: "graphify vs kedro-viz" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/graphify-labs-graphify-vs-kedro-org-kedro-viz" tools: ["graphify-labs-graphify", "kedro-org-kedro-viz"] --- # graphify vs kedro-viz *GraphCanon updated Aug 18, 2026* ## Verdict Pick graphify if graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types; pick kedro-viz if kedro-Viz is tailored for visualizing Kedro projects and tracking experiments within the Kedro framework. [graphify](https://www.graphify.com) reports 108k GitHub stars, 10k forks, and 978 open issues, last pushed Aug 17, 2026. [kedro-viz](https://demo.kedro.org) has 753 stars, 125 forks, and 73 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [graphify's repository](https://github.com/Graphify-Labs/graphify) and [kedro-viz's repository](https://github.com/kedro-org/kedro-viz). | | [graphify](/tools/graphify-labs-graphify.md) | [kedro-viz](/tools/kedro-org-kedro-viz.md) | | --- | --- | --- | | Tagline | Turn any code or documentation into a queryable knowledge graph | Visualise Kedro data pipelines and track experiments. | | Stars | 107,507 | 753 | | Forks | 10,441 | 125 | | Open issues | 978 | 73 | | Language | Python | JavaScript | | Adopt for | Graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types. | Kedro-Viz is tailored for visualizing Kedro projects and tracking experiments within the Kedro framework. | | Persona | - | - | | Runtime | - | - | | License | MIT | Licensed under Apache-2.0 | | Categories | AI Agents, Data & Retrieval | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [graphify](/tools/graphify-labs-graphify.md) | [kedro-viz](/tools/kedro-org-kedro-viz.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 978 | 73 | | Stars delta | +17k (30d) | Unknown | | Open issues delta | +441 (30d) | Unknown | | Full report | [trust report](/tools/graphify-labs-graphify/trust.md) | [trust report](/tools/kedro-org-kedro-viz/trust.md) | ## Decision facts: graphify - **Requirements:** Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed. - **Adopt for:** Graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types. ## Decision facts: kedro-viz - **Hosting:** self hosted - **Adopt for:** Kedro-Viz is tailored for visualizing Kedro projects and tracking experiments within the Kedro framework. - **License detail:** Licensed under Apache-2.0 ## Choose when ### Choose graphify if… - graphify is primarily Python; kedro-viz is JavaScript. - License: graphify is MIT, kedro-viz is Apache-2.0. - Requirements: Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed.. - Tags unique to graphify: claude-code, codex, gemini, knowledge-graph. - Also covers AI Agents. - graphify ships Docker support for self-hosted deployment. - When you need to turn diverse file types (code, SQL schemas, documents, images) into a single queryable data structure that can be searched and analyzed together. ### Choose kedro-viz if… - kedro-viz is primarily JavaScript; graphify is Python. - License: kedro-viz is Apache-2.0, graphify is MIT. - Tags unique to kedro-viz: data-visualization, experiment tracking, kedro-extension, kedro-plugin. - When working with existing Kedro projects to visualize pipelines and gain insights into experiment outcomes efficiently. ## When NOT to use graphify - If the project exclusively involves text-based content without requiring integration or querying across different file types (e.g., plain documents with no need for cross-referencing). - Avoid using Graphify if you are looking for a tool that focuses solely on visual graph representation without the depth of semantic querying capabilities. ## When NOT to use kedro-viz - For pipeline visualization and experiment tracking if the project is not built on the Kedro framework, as integration may be cumbersome or unsupported. - In settings where real-time collaboration features are essential, as its focus leans towards individual or pre-defined team workflows within a specific tech stack. ## Common questions ### What is the difference between graphify and kedro-viz? graphify: Turn any code or documentation into a queryable knowledge graph. kedro-viz: Visualise Kedro data pipelines and track experiments.. See the comparison table for live GitHub stats and shared categories. ### When should I choose graphify over kedro-viz? Choose graphify over kedro-viz when graphify is primarily Python; kedro-viz is JavaScript; License: graphify is MIT, kedro-viz is Apache-2.0; Requirements: Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed.; Tags unique to graphify: claude-code, codex, gemini, knowledge-graph; Also covers AI Agents; graphify ships Docker support for self-hosted deployment; When you need to turn diverse file types (code, SQL schemas, documents, images) into a single queryable data structure that can be searched and analyzed together. ### When should I choose kedro-viz over graphify? Choose kedro-viz over graphify when kedro-viz is primarily JavaScript; graphify is Python; License: kedro-viz is Apache-2.0, graphify is MIT; Tags unique to kedro-viz: data-visualization, experiment tracking, kedro-extension, kedro-plugin; When working with existing Kedro projects to visualize pipelines and gain insights into experiment outcomes efficiently. ### When should I avoid graphify? If the project exclusively involves text-based content without requiring integration or querying across different file types (e.g., plain documents with no need for cross-referencing). Avoid using Graphify if you are looking for a tool that focuses solely on visual graph representation without the depth of semantic querying capabilities. ### When should I avoid kedro-viz? For pipeline visualization and experiment tracking if the project is not built on the Kedro framework, as integration may be cumbersome or unsupported. In settings where real-time collaboration features are essential, as its focus leans towards individual or pre-defined team workflows within a specific tech stack. ### Is graphify or kedro-viz more popular on GitHub? graphify has more GitHub stars (107,507 vs 753). Stars measure visibility, not whether either tool fits your constraints. ### Are graphify and kedro-viz open source? Yes - both are open-source projects on GitHub (graphify: MIT, kedro-viz: Apache-2.0). ### Where can I find alternatives to graphify or kedro-viz? GraphCanon lists graph-backed alternatives at [graphify alternatives](/tools/graphify-labs-graphify/alternatives) and [kedro-viz alternatives](/tools/kedro-org-kedro-viz/alternatives) ([graphify markdown twin](/tools/graphify-labs-graphify/alternatives.md), [kedro-viz markdown twin](/tools/kedro-org-kedro-viz/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/graphify-labs-graphify-vs-kedro-org-kedro-viz.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, graphify or kedro-viz? graphify: Very active. kedro-viz: 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 graphify and kedro-viz? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [graphify trust report](/tools/graphify-labs-graphify/trust); [kedro-viz trust report](/tools/kedro-org-kedro-viz/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=graphify-labs-graphify`](/api/graphcanon/graph?tool=graphify-labs-graphify) - 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/_