Timing

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Marimo

Note

code examples are run using marimo notebooks: https://marimo.io/

Simple timing

using the time.perf_counter() function to set the start point,
Calculate it again at the end of what you want, and subtract the difference

File I/O

File I/O is usually the slowest part of your application
You can see that parquet files work better in general over CSVs

More detailed timing

Python has the cProfile module that lets you time all the functions and components
The snakeviz library helps make the cProfile table a bit more readable

Timing in Shiny for R

Shiny for R has many tools to help you time your `

https://profvis.r-lib.org/

Profviz example: https://profvis.r-lib.org/examples.html#example-3---profiling-a-shiny-application

Timing in Shiny for Python

There are no Shiny specific tools for profiling a Shiny for Python app at the moment