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NodeXl is an open-source Microsoft Excel template devoted solely for network graphs. Diagrams created from GraphViz can also be relayed on a browser. On top of this, it also offers various customisation elements. Its immersive layout takes graphical text descriptions as input and creates diagrams of the desired choice. GraphVizĪ pure visualisation software, GraphViz provides a plethora of graphical options to use in graph theory. Although this is mainly for graphic designers, its ease of use and customisation is what makes it a favourite choice for technical users.

It can be used to create graphs, charts and many more diagrams.

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InkscapeĪ free and open-source offering, Inkscape is again a vector-style graphics creating software. Unfortunately, MATLAB is not free to use and comes with a paid subscription. MATLAB is really helpful when using graph theory for a large real-time project. Its Bioinformatics Toolbox has plenty of data visualisation and exploration elements in addition to graph theory functions. Just like other software listed here, MATLAB packs a punch in creating standard graphs too. One just cannot ignore this powerful mathematical software if working on graph theory. Simple or outright concrete, Sage has a mathematical approach for creating graphs and is popular in the academic communities across the world. Derived from principles followed in multiple math software projects, Sage is used for outlining graphs as well as hypergraphs. SageĪ mathematics software, Sage is a free open-source tool that packs impressive mathematical functionalities inside (like MATLAB). It also has text rendering which makes it an attractive tool among LaTeX users. LaTeXDraw relies on PSTricks, a type of macros present in LaTeX for enabling various shapes required to draw graphical representations. LaTeX, which is a popular document preparation/typesetting system, has an additional graphics editor called LaTeXDraw.

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You can download this Python library here. NetworkX also has provisions like fast prototyping and is easy to understand. Just like the previous two, this library also offers multiple features like network dynamics and data format support. So, data scientists should be grateful for NetworkX, a Python library that is solely relied on for graphs and networks. Nothing beats the classic Python way of doing things. Gephi is currently maintained and improved by The Gephi Consortium. It is primarily written in Java and is available for Windows, MacOS and Linux platforms. Hinging mainly on network visualisation and data exploration, this tool uses a 3D render engine for creating complex graphs. Gephi is another free to download software exclusively developed for data analysis. Any expert in graph theory will breeze through these by making wonderful analysis with this software. While Tikz focuses on creating complex, PGF is for designing simpler visual diagrams. Both Tikz and PGF are used to create vector-style graphics. They are based on the typesetting language TeX. Tikz And PGFĪ popular software in the scientific research community, Tikz and PGF are two separate software packages in one offering. They are presented in a random order and are available on major operating systems like Windows, MacOS and Linux. Here we list down the top 10 software for graph theory popular among the tech folks. There are plenty of tools available to assist a detailed analysis. Graph theory software makes this job much easier. In fact tech giants like Google, Facebook and eBay use graph theory extensively in their business for the same.Īpart from knowing graph theory, it is necessary that one is not only able to create graphs but understand and analyse them. This area of mathematics helps understand data in a clear and concise manner. Graph Theory is one of the key subjects essential in mastering data science.

Computer graphing software 3d