SlamDunk: A user-friendly 3D visualization library
Hello! I am working on SlamDunk, a lightweight and easy-to-use visualization library built with C++. I started the project out of a personal need - I am in the process of learning about SLAM (simultaneous localization and mapping) and found the lack of visualization tools very limiting. This is why I'm making this tool - it aims to allow the user to make powerful live visualizations without a lot of boilerplate and fiddling with rendering loops and computer graphics. SlamDunk is built with OpenGL and ImGui, so it is very lightweight. Please let me know what you think!
SlamDunk: A user-friendly 3D visualization library launched on April 10, 2025 with 5 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Lightweight 3D visualization library. Contribute to Robertleoj/slamd development by creating an account on GitHub.
slamd is a 3D visualization library for Python. pip install , write a few lines, and you have a GPU-accelerated interactive 3D viewer. No event loops, no boilerplate — just set geometry and it shows up. pip install slamd Why slamd? Most 3D visualization in Python is either painfully slow (matplotlib's 3D mode), or requires you to learn a massive framework. slamd is neither. slamd is a stateful viewer , not a logging database. There's no append-only log, no timeline, no timestamps forced onto your data. You have a tree of geometry — you set objects, move them, delete them, and what you see is what's there right now. Rerun is powerful, but it's a big tool with a lot of concepts. slamd does…from github.com
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