Benchmark Python Snippets Online

Perfpy allows you to benchmark python snippets online and share them with other people. You can measure the performance and memory usage of code on different python versions in this sandbox environment.

The tool can compare and test the speed of 3rd-party libraries or library versions, so you can find out which is the fastest or consumes less memory between numpy, opencv, scipy and pandas for a certain function.

Packages

Setup

Runs before the benchmark, and it is not measured. Good place to import libraries and prepare data. Learn more

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values = list(range(1, 10000000))
 
 
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Code 1

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def first(items):
    for item in items:
        if item > 9999999:
            return item
value = first(values)
 
 
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Code 2

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value = next((x for x in values if x > 9999999), None)
 
 
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Code 3

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def first(items, condition, default = None):
    for item in items:
        if condition(item):
            return item
    return default
value = first(values, lambda x: x > 9999999, None)
 
 
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Teardown

Runs after the benchmark, and it is not measured. Good place to print out results. Learn more

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print(value)
 
 
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Results

Fastest

function

521 ms

1.92 op/s

Speed

Benchmark	Runtime	Operations	VS	Visual
function	521 ms	1.92 op/s	1×	0.5213772505521774
next	524 ms	1.91 op/s	1×	0.5239304304122925
lambda	1.55 s	0.647 op/s	3×	1.545538729056716

Memory

Benchmark	Peak Memory	Score	VS
lambda	< 1 KB	7.81	1×
next	< 1 KB	8.28	1×
function	< 1 KB	8.28	1×

Output

function

None

None

lambda

None