Python 3 versus Erlang

How the programs are written matters! Always look at the source code.

If the fastest programs are flagged * possible hand-written vector instructions or "unsafe" or naked ffi, does the host language matter? You might be more interested in the less optimised programs — more seconds, less gz source code.

fannkuch-redux
	elapsed	Mean or 95% CI
source	secs	cpu secs	mem	gz	make
Erlang	65.23	258.17—260.25	64,389	1044	1.75
Python 3 #6	943.88	942.63	11,874	391	3.58
Python 3 #4	311.18	1,221.85	28,701	960	5.27
Python 3 #8	2,457.09	2,455.59	11,874	414	5.65
n-body
	elapsed	Mean or 95% CI
source	secs	cpu secs	mem	gz	make
Erlang #3	103.81	104.49—105.71	64,164	1405	1.08
Python 3	372.41	371.23	12,198	1201	5.23
Python 3 #2	442.06	440.87	12,554	1247	5.24
Python 3 #8	529.38	528.16	12,497	1172	4.94
spectral-norm
	elapsed	Mean or 95% CI
source	secs	cpu secs	mem	gz	make
Erlang #2	11.05	42.68	76,771	753	1.84
Erlang	63.91	63.93—64.12	68,399	513	1.70
Python 3 #6	349.68	348.48	13,660	334	5.44
Python 3 #4	90.37	352.91	34,693	415	5.41
Python 3 #8	386.45	385.07	12,833	334	5.08
Python 3 #7	109.91	421.84	34,578	425	5.30
mandelbrot
	elapsed	Mean or 95% CI
source	secs	cpu secs	mem	gz	make
Erlang #4	53.86	214.34—214.76	98,140	813	0.97
Erlang #3	56.92	226.59—227.22	92,709	798	1.66
Python 3 #7	182.94	723.28	62,173	698	5.52
Python 3 #3	879.41	877.96	45,085	319	5.26
Python 3 #2	237.64	937.87	230,973	790	5.42
Python 3 #5	260.63	1,033.16	61,620	463	5.48
Python 3 #8	1,577.29	1,575.80	45,031	379	4.84
Erlang		Bad Output
Erlang #2		Bad Output
fasta
	elapsed	Mean or 95% CI
source	secs	cpu secs	mem	gz	make
Erlang #2	19.40	21.31—21.74	64,844	1170	1.69
Python 3 #3	39.03	38.30—47.80	12,218	1007	5.32
Python 3 #2	39.06	38.61—46.82	12,415	1126	5.21
Python 3 #5	27.95	54.20—54.96	1,190,347	1951	5.52
Python 3	57.39	56.94—65.76	12,100	823	5.06
Python 3 #8	153.17	153.78—158.43	11,915	738	5.04
Erlang	81.40	167.59—173.59	64,070	1045	0.98
k-nucleotide
	elapsed	Mean or 95% CI
source	secs	cpu secs	mem	gz	make
Python 3 #3	46.55	182.32—187.37	674,185	1970	5.68
Python 3 #4	76.67	233.00—239.32	523,751	663	4.89
Python 3 #8	234.08	235.36—236.89	642,265	525	5.15
Python 3	234.20	235.10—237.16	515,047	499	5.34
Python 3 #9	66.67	236.43—238.45	392,184	614	4.09
Erlang #3	5,352.88	5,606.96	1,306,636	945	1.58
Erlang	5,519.03	5,739.32	4,056,982	944	1.00
reverse-complement
	elapsed	Mean or 95% CI
source	secs	cpu secs	mem	gz	make
Python 3 #3	4.96	4.95	523,801	803	5.28
Python 3 #5	4.18	7.46—7.50	2,418,156	960	5.36
Python 3 #2	10.09	10.13—10.24	1,837,285	440	5.32
Python 3	10.43	10.43—10.59	2,040,713	484	5.28
Python 3 #6	7.59	11.07—11.11	2,795,930	821	5.37
Python 3 #4	13.47	13.44—13.88	4,109,324	343	5.05
Erlang	1,781.95	1,977.67	4,154,388	1309	0.97
Erlang #4		Timed Out
Erlang #3		Timed Out
binary-trees [ Contentious. Different approaches. ]
	elapsed	Mean or 95% CI
source	secs	cpu secs	mem	gz	make
Erlang	10.97	11.12—11.30	501,953	426	1.59
Erlang #2	5.08	13.61—13.73	500,834	485	1.71
Python 3 #2	100.49	100.69—101.09	281,829	344	5.08
Python 3 #4	33.37	121.32—121.68	460,771	481	5.57
Python 3	34.85	123.08—123.98	445,649	597	5.16
Python 3 #5	35.37	125.71—126.12	806,117	669	5.30
Python 3 #3	51.88	148.91—149.87	819,077	1247	5.39
pidigits [ Contentious. Different libraries. ]
	elapsed	Mean or 95% CI
source	secs	cpu secs	mem	gz	make
* Python 3 #3	1.35	1.28—1.32	20,009	573	5.34
Python 3 #5	1.40	1.36	15,606	369	7.20
Erlang	3.39	4.59—7.06	98,537	565	1.78
Erlang #3	3.16	4.48—5.04	78,606	568	1.71
Python 3 #4	4.63	4.60	12,718	348	4.88
Erlang #2	3.34	5.14—5.33	82,969	518	0.96
regex-redux [ Contentious. Different libraries. ]
	elapsed	Mean or 95% CI
source	secs	cpu secs	mem	gz	make
* Python 3 #2	1.41	2.65	191,300	1411	5.48
Python 3	8.96	16.47—16.75	459,624	515	5.47
Erlang #6	21.26	41.85—42.36	4,641,796	1055	1.86
Python 3	Python 3.13.0
Erlang	Erlang/OTP 27 [erts-15.0] [source] [64-bit] [smp:4:4] [ds:4:4:10] [async-threads:1] [jit:ns]