Racket versus Python 3 fastest programs Always look at the source code. These are only the fastest programs. Do some of them use manually vectorized SIMD? Look at the other programs. They may seem more-like a fair comparison to you. n-body source secs mem gz busy cpu load Racket 14.20 67,932 1689 14.28 0% 0% 0% 100% Python 3 567.56 8,076 1196 570.95 0% 0% 0% 100% spectral-norm source secs mem gz busy cpu load Racket 3.80 66,096 627 14.74 97% 96% 96% 99% Python 3 120.99 13,424 407 479.86 99% 99% 99% 99% mandelbrot source secs mem gz busy cpu load Racket 10.45 127,004 801 41.23 98% 98% 98% 100% Python 3 163.32 12,080 688 642.00 98% 98% 98% 98% binary-trees source secs mem gz busy cpu load Racket 4.31 557,636 853 8.76 47% 48% 66% 42% Python 3 51.07 278,324 589 178.28 85% 86% 93% 85% fannkuch-redux source secs mem gz busy cpu load Racket 31.07 68,492 1101 120.19 100% 91% 97% 99% Python 3 352.29 12,232 950 1,392.10 97% 99% 100% 99% fasta source secs mem gz busy cpu load Racket 7.92 67,644 1280 7.93 0% 100% 0% 0% Python 3 37.32 846,264 1947 71.03 10% 67% 83% 30% pidigits source secs mem gz busy cpu load Racket 1.17 68,212 1136 1.18 0% 0% 1% 100% Python 3 1.28 12,024 567 1.29 0% 1% 100% 0% reverse-complement source secs mem gz busy cpu load Racket 8.71 703,456 1030 8.74 0% 0% 0% 100% Python 3 7.20 1,005,184 814 10.75 20% 53% 48% 29% k-nucleotide source secs mem gz busy cpu load Racket 66.29 989,872 885 66.75 0% 0% 38% 62% Python 3 46.28 241,108 1967 176.42 94% 97% 95% 96% regex-redux source secs mem gz busy cpu load Racket 9.34 1,291,044 729 19.78 51% 45% 64% 52% Python 3 1.36 111,852 1403 2.64 32% 40% 33% 88% Racket Welcome to Racket v8.1 [cs]. Python 3 Python 3.9.2 all Racket programs & measurements all Python 3 programs & measurements