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 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Mobile Safari/537.36

Browser: Chrome Mobile 135

Operating system: Android

Device Platform: Mobile

Date tested: one year ago

Benchmark engine: Benchmark.js

Test#2 efficient_sorted_array

429/s

Test #1 bubble_sorted_array

55/s

View exact numbers

Test name	Executions per second
✓ Test#2 efficient_sorted_array	429 Ops/sec
Test #1 bubble_sorted_array	55 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()) `);