📄 Welcome to Swizz#

GitHub Version Python Built for Papers


Swizz is a Python library for generating publication-ready visualizations, LaTeX tables, and subfigure layouts — with minimal code and consistent style.

It’s built for AI/ML researchers targeting NeurIPS, ICLR, CVPR, ICML and beyond — where presentation matters, and time is tight. No more LaTeX hacks, manually resizing plots, or formatting inconsistencies. Just clean results, fast.

Head over to the GitHub repository to get started, explore the code, or contribute!


🧭 What’s in this guide?#

Use the sidebar to explore:

Section

Description

🧾 Tables

Auto-generated LaTeX tables with varying complexity

📊 Plotting

Beautifully styled plots built on Seaborn/Matplotlib

🧩 Layouts

Easily arrange subfigures side-by-side or in grids

Each individual visualization page includes:

  • ✅ Example code

  • 📸 Rendered output

So that you need minimal effort to format your data and generate your visualizations!


💡 Why use Swizz?#

Great papers don’t just have great ideas — they look great too.

Swizz helps you:

  • Communicate your results with clarity

  • Reduce time spent on formatting

  • Maintain consistency across plots, tables, and layouts

Built to streamline your research workflow.