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 4.00 212,108 1112 4.30 99% 3% 3% 3% Python 3 586.17 8,012 1196 589.84 0% 0% 0% 100% mandelbrot source secs mem gz busy cpu load Julia 1.38 235,276 621 4.78 83% 83% 83% 99% Python 3 172.58 12,216 688 689.62 100% 100% 100% 100% spectral-norm source secs mem gz busy cpu load Julia 1.23 180,836 521 3.87 73% 71% 91% 80% Python 3 118.40 22,912 407 470.86 99% 99% 99% 100% fannkuch-redux source secs mem gz busy cpu load Julia 7.96 197,292 1067 30.06 94% 95% 94% 94% Python 3 367.49 12,288 950 1,454.68 100% 98% 99% 98% fasta source secs mem gz busy cpu load Julia 1.72 354,912 1182 4.90 79% 75% 63% 69% Python 3 39.10 846,628 1947 70.52 43% 8% 61% 69% k-nucleotide source secs mem gz busy cpu load Julia 4.66 360,436 945 10.68 39% 52% 53% 85% Python 3 46.37 239,472 1967 176.69 94% 95% 98% 94% binary-trees source secs mem gz busy cpu load Julia 9.67 604,312 372 29.97 75% 84% 72% 78% Python 3 49.35 278,628 589 174.26 95% 86% 86% 86% reverse-complement source secs mem gz busy cpu load Julia 1.50 671,028 522 1.77 7% 9% 96% 7% Python 3 7.16 1,005,968 814 10.65 20% 53% 47% 29% pidigits source secs mem gz busy cpu load Julia 1.00 168,088 506 1.31 11% 99% 11% 10% Python 3 1.28 12,336 567 1.30 1% 0% 1% 100% regex-redux source secs mem gz busy cpu load Julia 1.75 384,588 759 3.10 6% 67% 93% 12% Python 3 1.36 112,052 1403 2.64 40% 88% 32% 33% Julia julia version 1.5.0 Python 3 Python 3.9.0 all Julia programs & measurements all Python 3 programs & measurements