h3c2p_bench
♥Cherished
Benchmarking suite comparing H3 library algorithms for converting hexagonal cells to polygons across multiple versions and optimization strategies. Tests performance improvements from algorithm rewrites and Gosper curve optimizations using the Colorado state boundary as a real-world test case at various resolutions.
Clauded With Love Rating
7.5 / 10
This benchmarking suite compares performance of H3 library's cells-to-polygon algorithms across multiple versions, including a novel Gosper curve optimization. It uses Colorado's state boundary as a real-world test case across resolutions 3-9, demonstrating significant performance improvements up to 400x faster.
Code Quality7.5
Usefulness8.5
Claude Usage6.0
Documentation8.5
Originality7.0
Highlights
- ✓Clear performance results table showing dramatic speedups (up to 401x) with detailed timing data across different resolutions
- ✓Well-structured comparison methodology testing 4 distinct algorithm checkpoints with fair end-to-end measurements
- ✓Comprehensive setup with recursive git clones and modern tooling (just, uv) making reproduction straightforward
To Improve
- →Add statistical analysis beyond minimum timing (mean, standard deviation, confidence intervals) to better assess performance variance
- →Include memory usage benchmarks alongside timing data since polygon operations can be memory-intensive at high resolutions