Tulip
Tulip: A free, open-source desktop framework for exploring and analyzing graph data. Ranked #62 of 98 in Data Visualization Software by our editors (3.0/10); pricing: Free plan; best for researchers exploring and analyzing graph data.
At a glance
- Editor score3.0 / 10
- PricingFree plan
- Best forResearchers exploring and analyzing graph data
- Free planYes
- Paid fromFree
- Facts checked23 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.
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Tulip pricing
Tulip fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| 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
- TableauA broad BI platform for governed analytics, visualization, and embedded insights.9.4
- Data StudioA low-cost cloud dashboard tool with broad connectors and useful sharing controls.9.2
- LookerA governed analytics platform for teams that need consistent metrics and embedded insights.9.1
Also Ranked In
Tulip is ranked in 2 of our directories.
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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