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 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser: Chrome 130

Operating system: Mac OS X 10.15.7

Device Platform: Desktop

Date tested: one month ago

Test name	Executions per second
Test #1 bubble_sorted_array	446.6 Ops/sec
Test#2 efficient_sorted_array	5960.6 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()) `);

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)

Test #1 bubble_sorted_array

Test#2 efficient_sorted_array