Julia versus Python 3 fastest performance

Always look at the source code.

If the fastest programs are hand-written vector instructions, does the host language matter? You might be more interested in the less optimised programs — more seconds, less gz source code.

fannkuch-redux
source	secs	mem	gz	cpu secs
Julia #3	8.04	257,756	896	30.44
Julia #2	8.40	261,236	1077	31.34
Julia	38.89	240,772	441	38.98
Python 3 #6	1,031.38	19,652	391	1,031.34
Python 3 #4	300.68	19,652	960	1,189.39
n-body
source	secs	mem	gz	cpu secs
Julia #8	4.16	272,512	1129	4.25
Julia #4	5.74	252,032	1168	5.83
Julia #3	6.53	254,592	1548	6.62
Julia #2	23.73	301,100	1084	23.86
Python 3 #2	362.72	19,656	1247	362.70
Python 3	368.32	19,656	1201	368.30
spectral-norm
source	secs	mem	gz	cpu secs
Julia #4	1.18	248,576	435	3.66
Julia #2	1.35	254,032	377	4.06
Python 3 #7	90.77	19,656	425	359.32
Python 3 #6	359.89	19,656	334	359.83
Python 3 #8	98.97	19,656	415	386.79
mandelbrot
source	secs	mem	gz	cpu secs
Julia #7	1.40	290,176	629	4.79
Julia #8	1.42	289,152	634	4.87
Julia #3	1.50	315,904	589	5.20
Julia #4	1.97	297,984	583	5.22
Julia #5	1.58	310,400	580	5.59
Julia #6	2.09	290,228	571	5.69
Julia	26.45	271,104	379	26.53
Python 3 #7	159.49	19,656	698	634.00
Python 3 #2		Timed Out
Python 3 #5		Failed
pidigits
source	secs	mem	gz	cpu secs
Julia #3	1.00	240,640	512	1.13
Julia #2	1.11	247,808	686	1.24
Python 3 #3	1.31	19,784	573	1.31
Python 3 #4	4.73	19,656	348	4.73
Python 3 #5		Failed
regex-redux
source	secs	mem	gz	cpu secs
Python 3 #2	1.35	168,092	1411	2.62
Julia #5	1.74	443,844	766	3.05
Julia #4	1.80	448,796	772	3.12
Julia #3	2.26	528,768	630	3.77
Julia	3.86	488,864	414	4.05
Python 3	8.83	432,724	515	16.44
fasta
source	secs	mem	gz	cpu secs
Julia #8	1.10	245,760	1094	1.19
Julia #5	2.41	262,528	957	2.50
Julia #4	2.79	249,088	1053	2.88
Julia #7	1.80	439,584	1189	4.51
Julia #6	2.05	475,160	1213	4.78
Julia #3	11.04	247,412	901	11.13
Python 3 #2	38.53	19,652	1126	38.53
Python 3 #3	38.86	19,780	1007	38.86
Python 3 #5	26.54	827,148	1951	53.26
Python 3	60.37	19,652	823	60.37
k-nucleotide
source	secs	mem	gz	cpu secs
Julia #8	5.74	441,148	965	13.70
Julia #7	8.71	430,084	1379	23.62
Julia	132.23	1,967,872	703	131.10
Python 3 #3	48.64	262,016	1970	184.81
Python 3 #8	87.79	506,880	663	262.44
Python 3	77.21	380,416	614	267.60
reverse-complement
source	secs	mem	gz	cpu secs
Julia #8	1.58	1,039,672	531	1.70
Julia #9	1.83	1,038,224	456	1.95
Python 3 #3	5.18	509,108	803	5.18
Python 3 #5	4.07	1,500,240	960	7.41
Python 3 #2	10.46	1,788,876	440	10.46
Python 3	10.69	1,987,304	484	10.69
Python 3 #6	7.86	2,484,084	821	11.49
Python 3 #4	13.91	4,003,712	343	13.91
Julia #2	35.46	1,718,176	464	35.82
binary-trees
source	secs	mem	gz	cpu secs
Julia #2	18.15	644,864	430	35.92
Julia #3	14.34	693,600	640	40.22
Python 3 #2	110.47	273,024	344	110.46
Python 3 #4	34.53	277,632	481	126.59
Python 3 #5	35.74	275,456	669	127.53
Python 3	36.16	277,760	597	128.12
Python 3 #3	55.05	672,384	1247	158.56
Julia #5		Failed
Julia #4		Failed
Julia	julia version 1.10.2
Python 3	Python 3.12.2