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Head-to-head · Graph Visualization Tools Software

Linkurious vs Tulip

  • Updated Nov 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Linkurious #3 in Graph Visualization Tools Software 8.7/10 30-day trial Free trial✓ 0 of 3 features Visit Linkurious
Tulip #7 in Graph Visualization Tools Software 8.3/10 Free plan Free plan✓ 0 of 3 features Visit Tulip

Linkurious leads on 0 checks, Tulip on 1, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreLinkurious · 8.7/10
  • Free planonly Tulip
  • Free trialonly Linkurious

Linkurious scores higher on our rubric for graph visualization tools software: 8.7 against 8.3 out of 10; our editors rank them #3 and #7.

Tulip offers free plan; Linkurious doesn't.

Linkurious is the better fit for enterprise graph intelligence and case workflows. Tulip is the better fit for desktop graph analysis with many visual views.

  • Linkurious fits best

    Enterprise graph intelligence and case workflows

  • Tulip fits best

    Desktop graph analysis with many visual views

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Side by side

Feature Linkurious 8.7/10 Visit ↗ Tulip 8.3/10 Visit ↗
At a glance
Editor score 8.7 8.3
Ranking #3 in Graph Visualization Tools Software #7 in Graph Visualization Tools Software
Best for Enterprise graph intelligence and case workflows Desktop graph analysis with many visual views
Pricing model Paid Free
Starting price €490/user/mo Free plan
Free plan — ✓ (best)
Free trial 30 days —
Deployment Cloud, Self-hosted Desktop, Self-hosted
Platforms Web, Windows, macOS, Linux Windows, macOS, Linux
Support Tickets, Docs Docs
Integrations 13 integrations 1 integrations
Built for Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Linkurious 0/3 · Tulip 0/3
Interactive filtering Not checked yet Not checked yet
Team collaboration Not checked yet Not checked yet
Scripting or API Not checked yet Not checked yet
Specs
Deployment Not checked yet Not checked yet
Graph data model Not checked yet Not checked yet
Export formats Not checked yet Not checked yet
Our review
Pros
  • Combines visual exploration, fuzzy search, and no-code graph queries
  • Adds geospatial and temporal analysis, alerts, and case management
  • Connects to graph databases, BI tools, and identity systems
  • Combines graph layouts with interactive exploration, filtering and navigation.
  • Offers matrix, histogram, scatter-plot and parallel-coordinate views.
  • Extends through Python scripting and plugins for imports, algorithms and visualizations.
Cons
  • Starts at EUR 490 per user per month
  • No free plan; access begins with a paid offering
  • Advanced capabilities are split across separate platform tiers
  • The project no longer provides precompiled binaries; source-code builds are required.
  • Its focus is graph analysis rather than general-purpose data visualization.
  • Documentation is the listed support channel.
Our verdict

Linkurious is a graph-powered decision intelligence platform for analysts, investigators, and teams working with connected data. It brings interactive graph visualization and network exploration together with graph analytics, full-text and…

Read the review →

Tulip is an open-source framework for visualizing and analyzing relational data, especially large graphs. Its desktop support spans Windows, macOS and Linux, making it relevant to researchers, educators and developers working with graph…

Read the review →
  1. LinkuriousGraph Visualization Tools Software 8.730-day trial
  2. TulipGraph Visualization Tools Software 8.3Free plan

Strengths and trade-offs

  • Linkurious — where it wins

    • Combines visual exploration, fuzzy search, and no-code graph queries
    • Adds geospatial and temporal analysis, alerts, and case management
    • Connects to graph databases, BI tools, and identity systems

    Where it doesn't

    • Starts at EUR 490 per user per month
    • No free plan; access begins with a paid offering
    • Advanced capabilities are split across separate platform tiers
  • Tulip — where it wins

    • Combines graph layouts with interactive exploration, filtering and navigation.
    • Offers matrix, histogram, scatter-plot and parallel-coordinate views.
    • Extends through Python scripting and plugins for imports, algorithms and visualizations.

    Where it doesn't

    • The project no longer provides precompiled binaries; source-code builds are required.
    • Its focus is graph analysis rather than general-purpose data visualization.
    • Documentation is the listed support channel.

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026

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