What is box3d-godot?

box3d-godot brings realistic 3D physics into the Godot game engine, version 4.7 specifically, by wrapping an existing physics engine called Box3D and exposing it as ready to use building blocks inside Godot, such as a physics world, physics bodies, joints connecting objects, and a character controller for moving a player around. Box3D itself, made by Erin Catto, handles the actual math of how solid 3D objects collide, bounce, and move under gravity and forces. It supports many shapes including boxes, spheres, capsules, cylinders, cones, and more complex meshes, along with a full set of joints for hinges, sliders, wheels, and fixed connections between objects. It can detect contacts and overlaps, cast rays and shapes to check what they hit, and is built for handling large numbers of physics objects efficiently using multiple threads. This project's own contribution is the Godot specific layer, kept separate from the unmodified Box3D source code, that turns those physics features into nodes a Godot developer can drag into a scene. It includes a sample browser with around 28 demo scenes showing things like stacked boxes, a ragdoll character, a drivable car, various joints, and different types of queries. It has also been tested running on real Android phones and tablets using Vulkan graphics, with touch controls built into the demo. To try it, you clone the repository and open the included demo project in Godot 4.7. Prebuilt binaries are included for Windows, so it runs immediately there, while Linux and macOS users, or anyone changing the underlying C++ code, need to build the extension first using a tool called scons. The README is upfront that this is very early and experimental: Box3D itself is still at an early version number, and the Godot binding is young, so users should expect missing features, rough edges, and changes to how things work over time. It is meant as a starting point to build on rather than something ready for a finished game. The project is licensed under the MIT license, and the author notes that AI tools were used to help with things like unit tests, sample code, and build configuration, while taking responsibility for all the code personally.