HarisIqbal88/PlotNeuralNet

Health v2 · maintenance only

Adoption not part of the score

24955 stars · 3062 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A LaTeX/TikZ-based library for drawing neural network architecture diagrams, with a Python interface for generating the TikZ code. It is commonly used to produce publication-quality figures for reports, papers, and presentations.

Use cases

• draw neural network architecture diagrams for a research paper
• create CNN diagrams in LaTeX for a thesis
• generate publication-quality deep learning figures
• visualize network layers like conv and pooling for a presentation
• make TikZ neural network diagrams from Python
• diagram a U-Net or FCN architecture for a report

When to choose

• you need polished, publication-ready neural network diagrams in LaTeX
• you want to describe architectures programmatically via Python
• you are writing academic reports or slides with TikZ figures

When to avoid

• you need interactive or runtime visualization of actual trained models
• you want diagrams outside LaTeX/PDF workflows
• you need automatic diagram generation from model code like ONNX or PyTorch

Facets

library · maturity maintenance

data-visualization graphics deep-learning machine-learning data-visualization documentation windows python cli latex tikz neural-network-diagrams academic-writing paper-figures linux macos

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markdown · JSON · MCP: product_card(name="HarisIqbal88/PlotNeuralNet")