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Changes between Version 1 and Version 2 of Ticket #36501

-              v1
+              v2
 I’ve started with a simple approach using Python’s random module in a Django management command:
+{{{
 from django.core.management.base import BaseCommand
 from myapp.models import Player
 …
+            )
         self.stdout.write(self.style.SUCCESS('Successfully generated test data'))
+}}}
 This works for a small list, but I’m looking for more scalable and realistic solutions, especially for generating diverse stats or integrating external data sources. For inspiration, I found a tool (https://wputopia.com/tools/random-nba-player/) that generates random NBA player data, which got me thinking about integrating similar randomness into my Django app. Has anyone built a robust random data generator for Django models? Are there libraries or patterns (e.g., Faker) that you recommend for this? Any tips on optimizing performance for large datasets or ensuring data variety?