Run results for: Python benchmarks support (via Pyodide & WebAssembly)

MeasureThat.net now supports Python in-browser benchmarks via Pyodide. This new feature allows users to write and execute Python code directly within their web browser, enabling seamless performance testing and benchmarking of Python scripts. (added in v1.7.0)

Go to the benchmark

Run details:

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36

Browser: Chrome 145

Operating system: Linux

Device Platform: Desktop

Date tested: 4 months ago

Test#2 efficient_sorted_array

696/s

Test #1 bubble_sorted_array

46/s

View exact numbers

Test name	Executions per second
✓ Test#2 efficient_sorted_array	696 Ops/sec
Test #1 bubble_sorted_array	46 Ops/sec

HTML Preparation code:

<script src='https://cdn.jsdelivr.net/pyodide/v0.26.3/full/pyodide.js'></script>

Script Preparation code:

async function globalMeasureThatScriptPrepareFunction() {
  	window.globalPyodide = await loadPyodide();
  	console.log(globalPyodide.runPython('import sys; sys.version'));
	await globalPyodide.loadPackage('numpy');
	await globalPyodide.runPython(`
		import numpy as np
		import random

		def bubble_sort(arr):
			n = len(arr)
			for i in range(n):
				for j in range(0, n-i-1):
					if arr[j] > arr[j+1]:
						arr[j], arr[j+1] = arr[j+1], arr[j]
			return arr

		def efficient_sort(arr):
			return sorted(arr)

		def generate_random_array(size, lower_bound, upper_bound):
			return [random.randint(lower_bound, upper_bound) for _ in range(size)]

		# Generate a random array
		random_array = generate_random_array(250, 1, 500000)
		print("Original array:", random_array)
	`);    
}

Tests:

Test #1 bubble_sorted_array
window.globalPyodide.runPython(` bubble_sort(random_array.copy()) `);
Test#2 efficient_sorted_array
window.globalPyodide.runPython(` efficient_sort(random_array.copy()) `);