Graphynx
Graphynx is an open-source graph and network analysis software. It allows users to visualize, analyze and manipulate graph data structures. Key features include graph layouts, clustering, pathfinding, community detection and more.
graph
network-analysis
data-visualization
open-source
Graphynx: Open-Source Graph & Network Analysis Software
Graphynx is an open-source graph and network analysis software. It allows users to visualize, analyze and manipulate graph data structures. Key features include graph layouts, clustering, pathfinding, community detection and more.
What is Graphynx?
Graphynx is an open-source, cross-platform software tool for graph and network analysis. It enables users to visualize, analyze, and manipulate different types of graph data structures such as social networks, transportation systems, family trees, and more.
Key features of Graphynx include:
- Interactive graph visualization with support for different layout algorithms such as force-directed, circular, hierarchical etc.
- Analysis tools like computing centrality metrics, finding communities, identifying important nodes/edges
- Graph generators to create random graphs based on different models
- Algorithms for clustering, shortest paths, spanning trees, network flow
- Filters to highlight nodes/edges based on metrics and properties
- Import/export for standard graph formats like GraphML, GEXF, CSV
- Extensive customization through stylesheets, scripts and plugins
- Compatible across Windows, MacOS and Linux
Graphynx aims to provide an easy-to-use and flexible environment for working with network data across various domains and applications. Its interactive visualization and computational features enable gaining valuable insights from graph structures.
Graphynx Features
Features
- Graph visualization
- Network analysis
- Multiple graph layout algorithms
- Clustering algorithms
- Community detection
- Centrality metrics
- Shortest path finding
- Filtering
- Interactive graph editing
Pricing
- Open Source
- Free
Pros
Open source and free
Support for multiple graph formats
Customizable and extensible
Intuitive user interface
Powerful analysis capabilities
Cross-platform
Cons
Limited documentation
Steep learning curve
Not suitable for very large graphs
Basic graph editing features
Lacks some advanced analytics features
Official Links
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