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Tulip

Free#66 of 98 in Data Visualization SoftwareGraph Visualization Tools Software

Tulip: A free, open-source desktop framework for exploring and analyzing graph data. Ranked #66 of 98 in Data Visualization Software by our editors (4.2/10); pricing: Free plan; best for researchers exploring and analyzing graph data.

4.2/10Editor score

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Tulip4.2 Visit Tulip

At a glance

Editor score
4.2 / 10
Pricing
Free plan
Best for
Researchers exploring and analyzing graph data
Free plan
Yes
Paid from
None
Facts checked
23 Sep 2026

Where it wins
- Interactive graph exploration with filtering, selection and navigation
- Multiple graph views, including matrices, histograms and scatter plots
- Python scripting and plugins extend graph workflows
Where it doesn't
- Primarily distributed as source code; precompiled binaries are no longer provided
- Focused on graph analysis rather than general-purpose data visualization
- Documentation is the listed support channel

Our verdict on Tulip

Tulip is a cross-platform framework for visualizing and analyzing relational data, particularly graphs. Its interactive rendering, layout algorithms and graph exploration tools suit researchers and developers studying graph structures. It is available as open-source software for desktop use on Windows, macOS and Linux, and its source code can be built for those platforms. The focus is specialized: teams seeking broad business dashboards or general-purpose visualization may find a graph-oriented tool a poor fit.

Graph analysis is the product’s center of gravity. Users can filter, select and navigate graph structures, apply clustering and metric algorithms, and view data through matrices, histograms, scatter plots and parallel coordinates. Hierarchical graphs and nested subgraphs support work with complex structures. Graph import and export, serialization, and layout algorithms provide additional control over graph workflows. This makes Tulip more suitable for investigation and analysis of relational data than for presenting a conventional dashboard to a broad audience.

Extensibility is another reason to consider it: Python bindings and scripting can support custom workflows, while plugins can add graph import options, algorithms and visualization components. Tulip is open source and free, with no paid tiers described. A practical consideration is distribution: the project says it no longer provides precompiled binaries, so prospective users should be comfortable building from source. Documentation is the listed support channel. Researchers and developers who need an extensible desktop graph-analysis environment may find that tradeoff appropriate; users who want general-purpose visualization or ready-to-install binaries should look elsewhere.

Tulip pricing

Plans Free planFree Free to use — no paid tier required for the core job.

See plans on tulip.labri.fr

Tulip fact sheet

Free plan	Yes
Paid from	None
Dashboard type	Interactive
Scheduled refresh	Not verified
Embedded dashboards	Not verified
Data sources	CSV; TLP; TLP binary; other graph formats are referenced, but not enumerated on the opened official pages
Viewer limit	Not verified
Platform	Desktop
Deployment	Desktop, Self-hosted
Platforms	Windows, macOS, Linux
Support	Docs
Built for	Solo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations	1 integrations: Python
Pricing	Free plan
Website	tulip.labri.fr
Facts checked	23 Sep 2026

Tulip integrations

Tulip lists 1 integrations on its own site.

Python

Alternatives to Tulip

See all Tulip alternatives →

Also listed in

Graph Visualization Tools Software

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Featured on iTechGuides

Tulip is listed in our Data Visualization Software directory. Add the badge to your site — it links back to this page.

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Guides on data visualization software

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

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Last updated 28 Sep 2026 · How we research and update