tinyprofiler 0.1.8

A Profiling Library for Python

tinyprofiler

Tiny Profiler is a sub 200 line profiling utility that records telemetry from your app, provides metrics and a flame graph to help debug latency and throughput.

Installation

pip install tinyprofiler

Usage

from tinyprofiler import Observer

observer = Observer()

@observer.profile()
def your_function():
  # do something

API

Observer

Observer(num_samples: int = 10, enabled: bool = True)

• num_samples (optional): The number of samples to collect. You can configure how many samples to collect during profiling. The default is 10.

• enabled (optional): You can enable or disable profiling using this parameter. By default, profiling is enabled (True).

Observer.profile (decorator)

profile(self, trace: str = '__main__', parent: bool = False) -> None:

• trace (optional) - the trace to group functions together

• parent (optional): Set this to True if you want to treat the decorated function as a parent node in the flame graph hierarchy.