📄 Welcome to Swizz#
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.