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 15.85 69,492 1689 15.91 0% 0% 100% 0% Python 3 586.17 8,012 1196 589.84 0% 0% 0% 100% spectral-norm source secs mem gz busy cpu load Racket 3.90 66,500 627 15.15 100% 96% 96% 96% Python 3 118.40 22,912 407 470.86 99% 99% 99% 100% mandelbrot source secs mem gz busy cpu load Racket 12.96 132,744 801 51.28 100% 99% 99% 99% Python 3 172.58 12,216 688 689.62 100% 100% 100% 100% binary-trees source secs mem gz busy cpu load Racket 4.35 562,044 853 8.92 44% 47% 64% 50% Python 3 49.35 278,628 589 174.26 95% 86% 86% 86% fannkuch-redux source secs mem gz busy cpu load Racket 32.59 68,152 1101 122.69 90% 93% 94% 100% Python 3 367.49 12,288 950 1,454.68 100% 98% 99% 98% fasta source secs mem gz busy cpu load Racket 7.94 69,148 1280 7.97 0% 0% 0% 100% Python 3 39.10 846,628 1947 70.52 43% 8% 61% 69% pidigits source secs mem gz busy cpu load Racket 1.18 69,132 1136 1.20 0% 1% 100% 1% Python 3 1.28 12,336 567 1.30 1% 0% 1% 100% reverse-complement source secs mem gz busy cpu load Racket 8.91 719,100 1030 8.96 0% 100% 0% 0% Python 3 7.16 1,005,968 814 10.65 20% 53% 47% 29% k-nucleotide source secs mem gz busy cpu load Racket 67.38 992,136 885 67.81 0% 100% 0% 0% Python 3 46.37 239,472 1967 176.69 94% 95% 98% 94% regex-redux source secs mem gz busy cpu load Racket 9.37 1,293,512 729 19.99 62% 62% 22% 68% Python 3 1.36 112,052 1403 2.64 40% 88% 32% 33% Racket Welcome to Racket v8.0 [cs]. Python 3 Python 3.9.0 all Racket programs & measurements all Python 3 programs & measurements