{ "info": { "author": "Alexander Tereshkin", "author_email": "atereshkin@invitebox.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Framework :: Django", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Topic :: Software Development" ], "description": "====================\ndjango-live-profiler\n====================\n\nDjango-live-profiler is a low-overhead data access and code profiler for Django-based applications. For more information, check out http://invitebox.github.com/django-live-profiler/\n\n------------\nInstallation\n------------\n1. Run `pip install django-live-profiler`\n2. Add `'profiler'` app to `INSTALLED_APPS` \n3. Add `'profiler.middleware.ProfilerMiddleware'` to `MIDDLEWARE_CLASSES`\n4. Optionally add `'profiler.middleware.StatProfMiddleware'` to `MIDDLEWARE_CLASSES` to enable Python code statistical profiling (using statprof_). WARNING: this is an experimental feature, beware of possible incorrect output.\n5. 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