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2. Grafana - Wikipedia

   en.wikipedia.org/wiki/Grafana

   Free and open-source software portal; Grafana is a multi-platform open source analytics and interactive visualization web application.It can produce charts, graphs, and alerts for the web when connected to supported data sources.

3. yEd - Wikipedia

   en.wikipedia.org/wiki/YEd

   yEd can be used to draw many different types of diagrams, [4] including flowcharts, network diagrams, UMLs, BPMN, mind maps, organization charts, and entity-relationship diagrams. yEd also allows the use of custom vector and raster graphics as diagram elements. yEd loads and saves diagrams from/to GraphML, an XML-based format. It can also print ...

4. diagrams.net - Wikipedia

   en.wikipedia.org/wiki/Diagrams.net

   diagrams.net (previously draw.io [2] [3]) is a cross-platform graph drawing software application developed in HTML5 and JavaScript. [4] Its interface can be used to create diagrams such as flowcharts, wireframes, UML diagrams, organizational charts, and network diagrams. [5]

5. Origin (data analysis software) - Wikipedia

   en.wikipedia.org/.../Origin_(data_analysis_software)

   Origin is a proprietary computer program for interactive scientific graphing and data analysis.It is produced by OriginLab Corporation, and runs on Microsoft Windows.It has inspired several platform-independent open-source clones and alternatives like LabPlot and SciDAVis.

6. List of information graphics software - Wikipedia

   en.wikipedia.org/wiki/List_of_information...

   A visual programming data-flow software suite with widgets for statistical data analysis, interactive data visualization, data mining, and machine learning. Origin: GUI, COM, C/ C++ and scripting: proprietary: No 1992: June 22, 2017 / 2017 SR2: Windows: Multi-layer 2D, 3D and statistical graphs for science and engineering. Built-in digitizing tool.

7. NetworkX - Wikipedia

   en.wikipedia.org/wiki/NetworkX

   NetworkX is suitable for operation on large real-world graphs: e.g., graphs in excess of 10 million nodes and 100 million edges. [ clarification needed ] [ 19 ] Due to its dependence on a pure-Python "dictionary of dictionary" data structure, NetworkX is a reasonably efficient, very scalable , highly portable framework for network and social ...