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There are a lot of profiling tools for Python code, and most of them are built-in — like profile or cProfile. Since I’m speaking about Flask application, let’s see what the world has especially for it. There is a beautiful lib called flask-profiler, which has a web interface with some cool features such as route or date filters. But Flask also has a built-in in werkzeug's profiler. It looked awesomely easy in use, so it was the first — and the last — one I tried. To use the built-in profiler you’ll need to add only two lines of code to your project:
There are a few tools to visualise the profile dumps. Some of them providing a full GUI for navigatig within your profiling results ( RunSnakeRun), some of them represent the analysis result as a Graph (gprof2dot). I stopped on snakeviz, which is a browser based visualizer. It is easy installed using pip install snakeviz, and then simply run with snakeviz profile_dir. The result looks something like this, and you can dive in to each of the visual parts to see its more close detalization, which is in my opinion is super cool and handy.