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)

Run details:

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36 Edg/144.0.0.0

Browser: Chrome 144

Operating system: Windows

Device Platform: Desktop

Date tested: 7 months ago

Benchmark engine: Benchmark.js

Test#2 efficient_sorted_array

3K/s

Test #1 bubble_sorted_array

276/s

View exact numbers

Test name	Executions per second
✓ Test#2 efficient_sorted_array	2,961 Ops/sec
Test #1 bubble_sorted_array	276 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()) `);