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  2. GraphML - Wikipedia

    en.wikipedia.org/wiki/GraphML

    GraphML is an XML-based file format for graphs. The GraphML file format results from the joint effort of the graph drawing community to define a common format for exchanging graph structure data. It uses an XML-based syntax and supports the entire range of possible graph structure constellations including directed, undirected, mixed graphs ...

  3. Graph Modelling Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Modelling_Language

    Graph-tool, a free Python module for manipulation and statistical analysis of graphs. NetworkX, an open source Python library for studying complex graphs. Tulip (software) is a free software in the domain of information visualisation capable of manipulating huge graphs (with more than 1.000.000 elements).

  4. Graphviz - Wikipedia

    en.wikipedia.org/wiki/Graphviz

    Graph-tool a Python library for graph manipulation and visualization. OmniGraffle version 5 and later uses the Graphviz engine, with a limited set of commands, for automatically laying out graphs. [9] Org-mode can work with DOT source code blocks. [10] PlantUML uses Graphviz to generate UML diagrams from text descriptions.

  5. DOT (graph description language) - Wikipedia

    en.wikipedia.org/wiki/DOT_(graph_description...

    DOT is a graph description language, developed as a part of the Graphviz project. DOT graphs are typically stored as files with the .gv or .dot filename extension — .gv is preferred, to avoid confusion with the .dot extension used by versions of Microsoft Word before 2007.

  6. Social network analysis software - Wikipedia

    en.wikipedia.org/wiki/Social_network_analysis...

    Python will read in almost any format data file Python has write capability for most data formats Windows, Linux, Mac Open source: Python contains several packages relevant for social network analysis: igraph is a library collection for creating and manipulating graphs and analyzing networks. It is written in C and also exists as Python and R ...

  7. Budapest Reference Connectome - Wikipedia

    en.wikipedia.org/wiki/Budapest_Reference_Connectome

    The Budapest Reference Connectome server computes the frequently appearing anatomical brain connections of 418 healthy subjects. [1] [2] It has been prepared from diffusion MRI datasets of the Human Connectome Project into a reference connectome (or brain graph), which can be downloaded in CSV and GraphML formats and visualized on the site in 3D.

  8. Orange (software) - Wikipedia

    en.wikipedia.org/wiki/Orange_(software)

    Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

  9. Plotly - Wikipedia

    en.wikipedia.org/wiki/Plotly

    Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript [1] and REST.