
Cytoscape
The premier open-source platform for complex network visualization and multi-omic data integration.

Open-source project for visual network analysis.

Gephi is an open-source network analysis and visualization software. It allows users to explore, manipulate, and visualize complex networks ranging from social connections to biological systems. The platform supports networks containing tens to millions of nodes. Gephi utilizes built-in algorithms for community detection, centrality measures, and clustering analysis, enabling discovery of structural patterns. Users can interact with data via a spreadsheet-like interface for manipulation, searching, and transformation. Data can be imported in multiple formats, and networks can be filtered interactively. Visualizations are based on advanced layout algorithms, offering customizable styling options, and allowing exports in various formats for presentations and publications. The software is designed to be free, community-supported, and continually evolving through open-source contributions.
Gephi is an open-source network analysis and visualization software.
Explore all tools that specialize in community detection. This domain focus ensures Gephi delivers optimized results for this specific requirement.
Gephi implements algorithms like Louvain and modularity optimization to identify communities within the network based on connection density.
Calculates various centrality metrics such as degree, betweenness, and eigenvector centrality to identify influential nodes in the network.
Offers multiple layout algorithms, including ForceAtlas2 and Fruchterman-Reingold, to arrange nodes and edges for enhanced visual clarity.
Provides a spreadsheet-like interface for data manipulation, filtering, and transformation.
Allows extensive customization of node and edge appearance based on data attributes, enabling visually compelling and informative network maps.
Download Gephi desktop application or use Gephi Lite online.
Import network data in a supported format (e.g., GraphML, GEXF).
Choose a layout algorithm (e.g., ForceAtlas2, Fruchterman-Reingold) to visualize the network.
Customize node and edge appearance based on data attributes.
Apply built-in algorithms for community detection or centrality analysis.
Export the visualization in PNG, PDF, or SVG format for publication.
All Set
Ready to go
Verified feedback from other users.
"Gephi is highly regarded for its network visualization capabilities and comprehensive feature set."
Post questions, share tips, and help other users.

The premier open-source platform for complex network visualization and multi-omic data integration.

The foundational Python library for creating, manipulating, and studying the structure and dynamics of complex networks.