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Head-to-head · Graph Visualization Tools Software

Graphistry vs Tulip

  • Updated Sep 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Graphistry #1 in Graph Visualization Tools Software 9.0/10 Free plan Free plan✓ 3 of 3 features Visit Graphistry
Tulip #7 in Graph Visualization Tools Software 6.8/10 Free plan Free plan✓ 0 of 3 features Visit Tulip

Graphistry leads on 3 checks, Tulip on 0, and 1 is even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreGraphistry · 9.0/10
  • Free planboth
  • Most featuresGraphistry · 3 of 3

Graphistry scores higher on our rubric for graph visualization tools software: 9.0 against 6.8 out of 10; our editors rank them #1 and #7.

Graphistry offers interactive filtering; Tulip doesn't publish it. Graphistry offers team collaboration; Tulip doesn't publish it. Graphistry offers scripting or api; Tulip doesn't publish it.

Graphistry is the better fit for teams investigating connected data across integrated sources. Tulip is the better fit for desktop graph analysis with many visual views.

  • Graphistry fits best

    Teams investigating connected data across integrated sources

  • Tulip fits best

    Desktop graph analysis with many visual views

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. It never changes our verdict. How we rank.

Side by side

Feature Graphistry 9.0/10 Visit ↗ Tulip 6.8/10 Visit ↗
At a glance
Editor score 9.0 6.8
Ranking #1 in Graph Visualization Tools Software #7 in Graph Visualization Tools Software
Best for Teams investigating connected data across integrated sources Desktop graph analysis with many visual views
Pricing model Free plan + paid Free
Starting price Not published Not published
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Desktop, Self-hosted
Platforms Web Windows, macOS, Linux
Support Email Docs
Integrations 11 integrations 1 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Graphistry 3/3 · Tulip 0/3
Interactive filtering ✓ (best) Not published
Team collaboration ✓ (best) Not published
Scripting or API ✓ (best) Not published
Specs
Deployment Not published Not published
Graph data model Property_graph Not published
Export formats CSV, Parquet, JSON Not published
Our review
Pros
  • Interactive filtering, search, clustering, histograms, and timebars
  • Save and share investigation workbooks or create reusable templates
  • Connect through REST, Python, JavaScript, and React APIs
  • 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
  • Its focus is graph visualization and connected-data investigation
  • Email is the listed support channel
  • Paid fees are set through an order rather than a published plan price
  • 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

Graphistry turns tabular and connected data into interactive graph visualizations for analysts, data scientists, and developers. It is aimed at teams that need to investigate relationships in large, complex datasets, rather than users…

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. GraphistryGraph Visualization Tools Software 9.0Free plan
  2. TulipGraph Visualization Tools Software 6.8Free plan

Strengths and trade-offs

  • Graphistry — where it wins

    • Interactive filtering, search, clustering, histograms, and timebars
    • Save and share investigation workbooks or create reusable templates
    • Connect through REST, Python, JavaScript, and React APIs

    Where it doesn't

    • Its focus is graph visualization and connected-data investigation
    • Email is the listed support channel
    • Paid fees are set through an order rather than a published plan price
  • 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 Sep 2026

Last updated · How we research and update