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 14.32 70,160 1689 14.37 0% 0% 100% 0% 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 66,688 627 14.75 97% 99% 96% 96% Python 3 120.99 13,424 407 479.86 99% 99% 99% 99% mandelbrot source secs mem gz busy cpu load Racket 10.44 126,440 801 41.22 98% 98% 98% 100% Python 3 163.32 12,080 688 642.00 98% 98% 98% 98% fannkuch-redux source secs mem gz busy cpu load Racket 32.01 70,960 1101 119.74 89% 93% 100% 92% Python 3 352.29 12,232 950 1,392.10 97% 99% 100% 99% binary-trees source secs mem gz busy cpu load Racket 4.81 555,172 853 9.55 47% 46% 37% 69% Python 3 48.03 462,732 472 174.44 89% 97% 88% 89% fasta source secs mem gz busy cpu load Racket 7.98 67,896 1280 8.07 0% 100% 0% 1% Python 3 37.32 846,264 1947 71.03 10% 67% 83% 30% pidigits source secs mem gz busy cpu load Racket 1.18 68,656 1136 1.19 0% 100% 1% 0% Python 3 1.28 12,024 567 1.29 0% 1% 100% 0% reverse-complement source secs mem gz busy cpu load Racket 8.75 697,776 1030 9.00 0% 100% 0% 2% Python 3 7.20 1,005,184 814 10.75 20% 53% 48% 29% k-nucleotide source secs mem gz busy cpu load Racket 66.89 989,352 885 67.26 0% 0% 0% 100% Python 3 46.28 241,108 1967 176.42 94% 97% 95% 96% regex-redux source secs mem gz busy cpu load Racket 12.48 1,787,916 729 23.03 45% 2% 100% 38% Python 3 1.36 111,852 1403 2.64 32% 40% 33% 88% Racket Welcome to Racket v8.2 [cs]. Python 3 Python 3.9.2 all Racket programs & measurements all Python 3 programs & measurements