⏱️ timefile

Probably the simplest time profiling in python

📍 Getting started

pip install timefile

To time your functions simply import watch like this:

from timefile import watch
import time

@watch
def o_one(n):
    time.sleep(n/10**4)

@watch
def o_two(m):
    time.sleep(m**2/10**4)

for i in range(10):
    o_one(i)
    o_two(i)

Check out the plots saved in the timefiles/plots/ directory for visualizations of the runtime.

🍻 Feedback and Contributions

I warmly welcome any contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas. Feel free to create issues or pull requests at the timefile GitHub.

🛣️ Roadmap

• Tests !!!
• Documentation
• Small fixes / cleanup
• Performance improvements
• Prettier plots
• Multivariable plots?
• Simple regression or analysis?

---

⚠️ Disclaimer

This package is designed for simple runtime insights and is not optmized for performance. For more comprehensive profiling in Python, consider using more robust tools like cProfile, timeit, line_profiler, etc.