Search Results for "call graph visualization"
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Showing 8 open source projects for "call graph visualization"
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A spring-based 3D graph layout tool written in Java. Rendering is performed in OpenGL via the JOGL library.
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Agent.GUI
The Project moved to github https://github.com/EnFlexIT/AgentWorkbench
The project has moved to github https://github.com/EnFlexIT/AgentWorkbench Agent.GUI is a simulation framework and toolkit based on the JADE framework. It provides functionalities for time aspects, agent-environment interaction, visualization and load balancing, Furthermore, the included application focuses the usability for end users. -
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MuLaViTo
A framework for the visualization of multi-layer networks
MuLaViTo is a multi-layer visualization framework which allows to visualize relations between multiple graphs in derived applications. Moreover, it provides helpful means like k-shortest path algorithms, running algorithms in a separate thread, ... -
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Graph polynomials and view prime numbers on a ulam spiral graphing plot. Only integer numbers. Based on an old GPL version of the JEP equation parser. See website for additional examples/live applets Seems to be closely related to Cellular automaton.
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Seems to be closely related to Cellular automaton, except this creates a complex pattern from a mathematical function you input. See website for examples/live applets. This program makes use of an old GPL version of the JEP equation parser.
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A real-time graph plotter. While your application is computing and logging results to a CSV file using the LiveGraph Writer API, the plotter lets you visualise and monitor the results live - by instantly plotting charts and graphs of the data.
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Digital graph 1.3 is an advanced JAVA SWING component for modelling, displaying, saving and loading graphs(using XML and XMLSchema). It is fully documented and requires jdk 1.5.x.Version 1.3 adds 9 bug fixs, 3 rengineering and 4 new features.
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GraphScript project is a network theory simulator based purely on Java and Java scripting engines. It is intended to allow fast development, testing and visualization of network theory (graph) algorithms.
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