Python Interpreters Benchmarks
x64 ArchLinux : AMD® Ryzen 7 4700U®

- all benchmarks - n-body fannkuch-redux meteor-contest fasta fasta-redux fibonacci fib50 spectral-norm reverse-complement mandelbrot k-nucleotide regex-dna pidigits chameneos-redux templates thread-ring binary-trees-redux binary-trees pystone richards iobench jsonbench - all languages - Python 2 PyPy Python 3 Python dev PyPy 3 Jython IronPython Cython Nuitka Shedskin Numba Pyston MicroPython Grumpy Graal RustPython

vs Python 2 PyPy Python 3 Python dev PyPy 3 Jython IronPython Cython Nuitka Shedskin Numba Pyston MicroPython Grumpy Graal RustPython x64 octa-core

 1 : Are the Jython programs faster? At a glance.

Each chart bar shows, for one unidentified benchmark, how much the fastest Jython program used compared to the fastest Python 3 program.

(Memory use is only compared for tasks that require memory to be allocated.)

These are not the only compilers and interpreters. These are not the only programs that could be written. These are not the only tasks that could be solved. These are just 10 tiny examples.

 2 : Are the Jython programs faster? Approximately.

Each table row shows, for one named benchmark, how much the fastest Jython program used compared to the fastest Python 3 program.

(Memory use is only compared for tasks that require memory to be allocated.)

Jython used what fraction? used how many times more?
Benchmark	Time	Memory	Code
thread-ring †	1/15		±
n-body	±		±
meteor-contest †	3×		±
fib50 †	3×		±
richards †	4×		±
jsonbench †	7×		±
fasta	8×		1/2
pystone †	15×	?	±
k-nucleotide	39×	?	1/3
spectral-norm †	55×	?	2×
regex-dna †	63×	?	±
iobench	95×		±
reverse-complement	102×	?	±
pidigits	280×	?	±

Jython used what fraction? used how many times more?
Time-used	|-	|---	25%	median	75%	---|	-|
(Elapsed secs)	1/15	1/15	3×	11×	63×	154×	280×

† possible mismatch - one-core program compared to multi-core program.

± read the measurements and then read the program source code.

 3 : Are the Jython programs faster? Measurements.

These are not the only tasks that could be solved. These are just 10 tiny examples. These are not the only compilers and interpreters. These are not the only programs that could be written.

For each named benchmark, measurements of the fastest Jython program are shown for comparison against measurements of the fastest Python 3 program.

Program Source Code	CPU secs	Elapsed secs	Memory KB	Code B	≈ CPU Load
thread-ring
Jython	5.84	2.66	3,476	407	54% 23% 34% 24% 32% 24% 15% 20% †
Python 3	20.45	38.97	11,040	448	4% 8% 5% 5% 4% 7% 3% 11% †
n-body
Jython	47.89	42.47	3,380	1337	13% 32% 42% 14% 3% 4% 2% 4%
Python 3	28.83	28.83	8,844	1315	0% 0% 0% 0% 0% 0% 100% 0%
meteor-contest
Jython	9.64	5.51	3,432	1485	58% 22% 17% 13% 14% 12% 24% 17% †
Python 3	2.09	2.10	9,528	1443	1% 0% 0% 0% 0% 0% 0% 100% †
fib50
Jython	11.08	6.91	3,592	130	17% 14% 11% 5% 44% 24% 21% 25% †
Python 3	2.04	2.04	8,348	136	2% 0% 0% 0% 0% 0% 100% 0% †
richards
Jython	7.01	3.06	3,380	2423	18% 41% 29% 35% 21% 29% 29% 33% †
Python 3	0.70	0.70	9,424	2434	0% 0% 0% 0% 0% 100% 0% 1% †
jsonbench
Jython	23.44	15.07	3,592	322	34% 25% 14% 9% 17% 20% 19% 19% †
Python 3	2.14	2.15	13,136	322	0% 2% 0% 1% 0% 1% 100% 1% †
fasta
Jython	25.50	20.97	3,540	900	28% 13% 13% 12% 22% 32% 1% 2%
Python 3	4.80	2.66	63,220	2016	39% 6% 54% 3% 7% 41% 32% 5%
pystone
Jython	7.20	2.84	3,548	2301	22% 34% 21% 79% 32% 23% 18% 28% †
Python 3	0.19	0.19	?	2300	5% 5% 0% 0% 0% 100% 0% 0% †
k-nucleotide
Jython	4.89	2.15	3,448	593	34% 52% 20% 30% 23% 31% 21% 16%
Python 3	0.12	0.06	?	2011	17% 20% 20% 83% 33% 17% 20% 20%
spectral-norm
Jython	8.79	5.59	3,540	594	23% 31% 26% 41% 10% 8% 8% 11% †
Python 3	0.10	0.10	?	394	0% 92% 0% 0% 0% 0% 0% 0% †
regex-dna
Jython	5.59	2.47	3,484	501	36% 22% 30% 40% 31% 31% 24% 14% †
Python 3	0.04	0.04	?	524	0% 0% 100% 0% 0% 0% 0% 0% †
iobench
Jython	286.89	270.09	3,620	370	19% 26% 30% 27% 1% 1% 1% 1%
Python 3	2.84	2.84	9,080	367	2% 2% 0% 100% 0% 1% 1% 1%
reverse-complement
Jython	4.28	1.94	3,360	431	19% 35% 30% 31% 62% 10% 26% 13%
Python 3	0.02	0.02	?	449	0% 33% 100% 0% 0% 0% 0% 0%
pidigits
Jython	10.77	6.45	3,588	322	18% 30% 55% 20% 13% 7% 13% 12%
Python 3	0.02	0.02	?	379	25% 0% 0% 33% 0% 0% 0% 100%
fannkuch-redux
	No program
Python 3	5.43	0.73	89,420	894	88% 92% 93% 93% 95% 97% 93% 93%
fasta-redux
	No program
Python 3	0.19	0.19	?	1115	100% 0% 0% 0% 0% 5% 0% 0%
fibonacci
Jython	6.15	2.55	3,400	181	22% 59% 28% 7% 24% 41% 29% 33%
	No program
chameneos-redux
	No program
Python 3	182.63	264.55	14,784	1191	5% 3% 3% 2% 12% 11% 12% 11%
templates
	No program
Python 3	0.63	0.64	18,364	322	4% 0% 0% 100% 0% 0% 0% 0%
mandelbrot
	No program
Python 3	37.12	4.84	294,184	3852	96% 98% 96% 94% 94% 98% 97% 97%
binary-trees
	No program
Python 3	1.52	0.29	80,548	741	67% 69% 66% 64% 63% 59% 67% 79%
binary-trees-redux
	No programs

† possible mismatch - one-core program compared to multi-core program.

 4 : Are there other Jython programs for these benchmarks?

Remember - those are just the fastest Jython and Python 3 programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for Jython.

Python 2 PyPy Python 3 Python dev PyPy 3 Jython IronPython Cython Nuitka Shedskin Numba Pyston MicroPython Grumpy Graal RustPython

Maybe one of those other Jython programs is fastest on a different OS/machine.

 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest Jython and Python 3 programs measured on this OS/machine. Check if there are faster implementations of these benchmark programs for other programming languages.

n-body fannkuch-redux meteor-contest fasta fasta-redux fibonacci fib50 spectral-norm reverse-complement mandelbrot k-nucleotide regex-dna pidigits chameneos-redux templates thread-ring binary-trees-redux binary-trees pystone richards iobench jsonbench

Maybe one of those other programs is fastest on a different OS/machine.

 Jython : Python on Java 

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