Performance & Benchmarks

pyfgs is continuously benchmarked against NCBI RefSeq ground-truth datasets on every commit to main to ensure we never introduce performance regressions.

When configured in whole_genome=True mode, pyfgs uses zero-copy memory operations and Rayon-based multi-threading to out-perform even SIMD-accelerated tools like pyrodigal—especially on fragmented datasets (e.g. multi-contig draft genomes).

Continuous Accuracy & Speed Tracking¶