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Big Space

partitioning screenshot

Huge worlds, high performance, no dependencies, ecosystem compatibility. Read the docs

crates.io docs.rs test suite

Highlights

  • Enough precision to render proton-sized meshes across the observable universe.
  • Uses Transform, making it compatible with most of the Bevy ecosystem.
  • No added dependencies.
  • Absolute coordinates without drift, unlike camera-relative or periodic recentering solutions.
  • Chunks the world into nestable integer grids, from i8 up to i128.
  • Spatial hashing for fast grid cell lookups and neighbor search.
  • Spatial partitioning to group sets of connected cells.
  • Great performance scaling and parallelism with massive entity counts.
  • 👉 Extensive documentation you should read.

screenshot

Showcase

Screen.Recording.2025-03-30.at.11.49.21.PM.mp4
Screen.Recording.2025-03-30.at.11.45.39.PM.mov

Bevy Version Support

bevy big_space
0.16 0.10
0.15 0.8, 0.9
0.14 0.7
0.13 0.5, 0.6
0.12 0.4
0.11 0.3
0.10 0.2
0.9 0.1

License

This project is dual licensed:

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

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When 32-bit worlds just aren't big enough

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