<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Visualization on SoloSoft</title><link>https://www.solosoft.dev/tags/visualization/</link><description>Recent content in Visualization on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/visualization/index.xml" rel="self" type="application/rss+xml"/><item><title>Mermaid: Open-Source Diagramming from Markdown Text</title><link>https://www.solosoft.dev/post/mermaid-diagrams-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/mermaid-diagrams-2026/</guid><description>&lt;p&gt;Text-based diagram generation has transformed how developers create and maintain visual documentation, and &lt;strong&gt;Mermaid&lt;/strong&gt; (mermaid-js/mermaid on GitHub) is the library that pioneered this approach. By allowing diagrams to be defined using simple, human-readable text syntax, Mermaid makes diagram creation as easy as writing Markdown &amp;ndash; and keeps diagrams version-controlled, reviewable, and maintainable alongside code.&lt;/p&gt;
&lt;p&gt;Created by Knut Sveidqvist and now maintained by a dedicated community, Mermaid has become the standard for text-based diagram generation in the software industry, with over 75,000 GitHub stars. It supports over a dozen diagram types including flowcharts, sequence diagrams, Gantt charts, class diagrams, state diagrams, pie charts, entity relationship diagrams, user journey maps, Git graphs, and mindmaps.&lt;/p&gt;</description></item><item><title>Netron: Open-Source Model Viewer for Neural Networks</title><link>https://www.solosoft.dev/post/netron-model-viewer-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/netron-model-viewer-2026/</guid><description>&lt;p&gt;Visualizing the architecture of neural networks is essential for understanding, debugging, and communicating model designs, yet most deep learning frameworks provide limited visualization capabilities. &lt;strong&gt;Netron&lt;/strong&gt; (lutzroeder/netron on GitHub) solves this problem by providing a comprehensive, format-agnostic model viewer that can visualize neural networks from virtually any framework with interactive graph exploration.&lt;/p&gt;
&lt;p&gt;Created by Lutz Roeder, Netron has become an indispensable tool in the AI ecosystem, with over 30,000 GitHub stars and adoption by researchers, engineers, and educators worldwide. The viewer supports over 20 model formats including ONNX, TensorFlow, PyTorch, Keras, CoreML, TensorFlow Lite, MXNet, Caffe, Darknet, PaddlePaddle, OpenVINO, and scikit-learn, making it the Swiss Army knife of model visualization.&lt;/p&gt;</description></item></channel></rss>