Computational Geometry
A curated list of awesome computational geometry visualizations, libraries, and educational resources.
What is Computational Geometry?
Awesome Computational Geometry is a curated GitHub repository listing high-quality resources for the field of computational geometry. It aggregates visualizations, software libraries, textbooks, courses, and academic references to help developers and researchers solve geometric problems in areas like computer graphics, robotics, and GIS.
Computer science students, researchers, competitive programmers, and software engineers working in fields that involve geometric algorithms, such as computer-aided design, game development, robotics, or geographic information systems.
It saves significant time by vetting and organizing scattered resources into a single, well-structured list, providing a trusted starting point for learning and applying computational geometry concepts without needing to search across disparate sources.
Overview
A curated list of awesome computational geometry visualizations, frameworks, and resources
Use Cases
Best For
- Finding interactive visualizations to understand geometric algorithms
- Discovering production-ready geometry libraries for a specific programming language
- Learning computational geometry through textbooks and university course materials
- Preparing for competitive programming problems involving geometry
- Staying updated on academic conferences and journals in the field
- Exploring resources for applications in robotics, computer vision, or GIS
Not Ideal For
- Teams needing hands-on, integrated coding tutorials with immediate feedback
- Projects requiring commercial support or SLAs for geometric libraries
- Developers focused exclusively on niche areas like geometric deep learning without prior resources
- Users wanting a single, authoritative textbook instead of a curated list of multiple sources
Pros & Cons
Pros
Includes interactive tools like Visualgo for convex hull and CGViz for step-by-step demos, making complex algorithms easier to grasp through direct experimentation.
Lists major production-ready libraries across languages such as CGAL for C++ and S2 Geometry for spherical geometry, providing practical tools for various applications.
Curates links to key conferences, journals, and competitive programming resources, bridging research and practice for students and professionals.
Aggregates textbooks, lecture notes, and university courses from institutions like MIT and UIUC, offering multiple structured learning paths.
Cons
Serves as a directory rather than an active learning platform, requiring users to independently seek out and evaluate each linked resource without built-in guidance.
As a community-maintained list, some links or resources might become outdated over time, despite contribution guidelines, leading to potential dead ends.
Lacks direct code snippets or interactive exercises, so learners must rely on external sources for practical coding experience, which can be inefficient.
Frequently Asked Questions
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