Julia 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 Julia 4.05 218,740 1111 4.36 3% 2% 3% 100% Python 3 567.56 8,076 1196 570.95 0% 0% 0% 100% mandelbrot source secs mem gz busy cpu load Julia 1.32 227,836 624 4.66 98% 86% 85% 85% Python 3 163.32 12,080 688 642.00 98% 98% 98% 98% spectral-norm source secs mem gz busy cpu load Julia 1.11 182,068 429 3.74 80% 79% 80% 98% Python 3 120.99 13,424 407 479.86 99% 99% 99% 99% fannkuch-redux source secs mem gz busy cpu load Julia 7.64 206,244 1067 28.95 95% 95% 94% 95% Python 3 352.29 12,232 950 1,392.10 97% 99% 100% 99% fasta source secs mem gz busy cpu load Julia 1.12 193,924 1082 1.40 10% 8% 99% 8% Python 3 37.32 846,264 1947 71.03 10% 67% 83% 30% k-nucleotide source secs mem gz busy cpu load Julia 5.12 374,876 951 11.36 63% 72% 38% 49% Python 3 46.28 241,108 1967 176.42 94% 97% 95% 96% binary-trees source secs mem gz busy cpu load Julia 7.43 482,620 634 23.65 69% 100% 78% 72% Python 3 51.07 278,324 589 178.28 85% 86% 93% 85% reverse-complement source secs mem gz busy cpu load Julia 1.60 677,796 522 1.91 6% 6% 100% 9% Python 3 7.20 1,005,184 814 10.75 20% 53% 48% 29% pidigits source secs mem gz busy cpu load Julia 0.97 172,908 506 1.24 10% 98% 10% 9% Python 3 1.28 12,024 567 1.29 0% 1% 100% 0% regex-redux source secs mem gz busy cpu load Julia 1.68 394,324 759 3.06 99% 7% 5% 71% Python 3 1.36 111,852 1403 2.64 32% 40% 33% 88% Julia julia version 1.6.0 Python 3 Python 3.9.2 all Julia programs & measurements all Python 3 programs & measurements