codepulse is a Python package designed to provide detailed insights into the execution time of your code at a granular level, line by line. By meticulously tracking the execution time of each line of code, codepulse helps you identify bottlenecks, optimize performance, and gain a deeper understanding of your code's behavior.
- Precisely measures the execution time of each line of code within a function.
- Generates informative visualizations that highlight performance hotspots.
- Supports integration with popular Python development environments.
- Designed for ease of use and seamless integration into existing projects.
The source code is currently hosted on GitHub at: https://github.com/SKR18156592/codepulse
Import the Tracker module from the codepulse package, create an instance of it by passing the function you want to track as a parameter, and then utilize this instance to invoke the tracked function. When you create an instance using Tracker(fun1), it generates a wrapper around fun1 that effectively measures and records the execution time line by line.
from codepulse import Tracker
def fun1(x,y):
m = 1
for i in range(x*100):
m = m * 3
for j in range(x*30):
m = m + 4
return m
t = Tracker(fun1)
t(3,5)
output:
===========================================================================================
|> Function Name: fun1, #iter: 3, mean_time(in ms): 46.856, std_time(in_ms): 0.019
===========================================================================================
| LineNo | line | mean_time(in ms) | std_time(in ms) |
===========================================================================================
| 0 | m = 1 | 0.0 | 0.0
| 1 | for i in range(x*100): | 46.856 | 0.024
| 2 | m = m * 3 | 0.0 | 0.0
| 3 | for j in range(x*30): | 15.673 | 0.003
| 4 | m = m + 4 | 15.611 | 0.052
| 5 | return m | nan | nan
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This project is licensed under the MIT License