Easily add performance counters to your python code.

PerfCounter is a thoroughly tested library that make it easy to add counters to any python code to measure intermediate timings and values. Its various reporting mechanisms (pretty print, json, html, latex, markdown... ) makes it easy to analyze and report performance measurement regardless of your workflow.

Perfcounters natively support two kind of counters:

• TimeCounters() that are used to track timings.
• ValueCounters() thatr used if you want to track values.

For each counter you can track intermediate values using the lap() API if needed.

Here is a short example that demonstrate how to track time. Tracking values looks very similarly.

import random
from perfcounters import TimeCounters

cnts = TimeCounters()  # init the counter collection.

cnts.start('random')  # start a timing counter called random.
for x in range(100000):
    int(random.random())
cnts.stop('random')  # stop the random counter

cnts.start('randint')  # start a timing counter called randint.
for x in range(1000000):
    random.randint(0, 1)
cnts.stop('randint')  # stop the randint counter.

cnts.report(rounding=5) # report print all counter values in a nicely formated table.

For more advanced usage take look at the demo jupyter notebook.

The easiest way to install perfcounters is via pip:

pip install --user -U perfcounters