Home/Compare/graphify vs kedro-viz

Comparison

graphify vs kedro-viz

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.

Markdown twin · graphify alternatives · kedro-viz alternatives

GraphCanon updated 1w

graphify logo

graphify

Graphify-Labs/graphify

108kpushed Aug 17, 2026
vs
kedro-viz logo

kedro-viz

kedro-org/kedro-viz

753pushed Aug 1, 2026

Trust & integrity

Signalgraphifykedro-viz
Maintenance
Very active (0d since push)
As of 1w · github_public_v1
Very active (1d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

graphify
Turn any code or documentation into a queryable knowledge graph
kedro-viz
Visualise Kedro data pipelines and track experiments.

Stars

graphify
108k
kedro-viz
753

Forks

graphify
10k
kedro-viz
125

Open issues

graphify
978
kedro-viz
73

Language

graphify
Python
kedro-viz
JavaScript

Adopt for

graphify
Graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types.
kedro-viz
Kedro-Viz is tailored for visualizing Kedro projects and tracking experiments within the Kedro framework.

Persona

graphify
-
kedro-viz
-

Runtime

graphify
-
kedro-viz
-

License

graphify
MIT
kedro-viz
Licensed under Apache-2.0

Last pushed

graphify
Aug 17, 2026
kedro-viz
Aug 1, 2026

Categories

graphify
AI Agents, Data & Retrieval
kedro-viz
Data & Retrieval

Trust and health

Days since push

graphify
0d
kedro-viz
1d

Open issues (now)

graphify
978
kedro-viz
73

Stars delta

graphify
+17k (30d)
kedro-viz
Unknown

Open issues delta

graphify
+441 (30d)
kedro-viz
Unknown

Full report

graphify
Trust report
kedro-viz
Trust report

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: graphify 108k · kedro-viz 753 (synced Aug 18, 2026).

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 and kedro-viz alternatives (graphify markdown twin, kedro-viz markdown twin), 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 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; kedro-viz trust report.

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