Drawing (not so) Beautiful Diagrams with Pure Python

2025-09-10 · Source: The Computist Journal · Field: Technology & Digital — Software Development & Engineering, Data Science & Analytics, Artificial Intelligence & Machine Learning · Depth: Intermediate, short

Summary

Tesserax is a new, pure Python library designed for rendering SVGs, particularly for mathematical diagrams and animations. Developed with zero dependencies, not even NumPy, it aims to fill a niche for a lightweight tool that renders web-native content, ensuring perfect scaling and layout in environments like Jupyter and Quarto. The library offers both a low-level engine for precise control and a high-level engine for typical workflows. Key capabilities include drawing basic primitives, arbitrary paths with curvature control, procedural shape distortion, and a "sketchy mode." Tesserax also features built-in layouts for common patterns like rows, columns, grids, trees, and graphs. A significant aspect is its support for procedural and physically-based animations, incorporating a 2D physics engine for simulating collisions and rigid body mechanics, primarily for didactic purposes.

Key takeaway

For AI Scientists and educators creating visual explanations for complex concepts, Tesserax offers a lightweight, dependency-free Python solution for generating scalable SVG diagrams and animations. You can leverage its low-level control for pixel-perfect designs or its high-level API for rapid development, including procedural and physics-based animations. Consider using Tesserax to build a library of reusable math and computer science visual components to enhance didactic materials and illustrate algorithms effectively.

Key insights

Tesserax is a zero-dependency Python library for creating scalable SVG diagrams and animations, including physics-based simulations.

Principles

• Reinventing the wheel fosters deep learning.
• Tailor tools to specific needs for optimal fit.

Method

Define an SVG scene using a Canvas and Shapes, apply attributes, and render as an SVG file. Animations are procedural, with a high-level API for declarative composition and an optional 2D physics engine for baked simulations.

In practice

• Create complex diagrams using Python programming skills.
• Encapsulate repeatable patterns into classes.
• Build animated explanations for CS topics.

Topics

• Python Library
• SVG Rendering
• Procedural Animation
• 2D Physics Engine
• Mathematical Diagramming

Best for: AI Scientist, Software Engineer, Data Scientist, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Computist Journal.