Pymetrix: The Open Source Plug and Play Python Analytics Library

What is Pymetrix?

Pymetrix is a plug-and-play analytics library written in Python, designed for monitoring and measuring application performance metrics.

Usage overview

The library integrates straightforwardly into existing projects. Users create a Metrics manager instance, then wrap the methods they wish to monitor. The example below demonstrates monitoring a function called foo():

from random import randint
from metrics.metrics import Metrics

metricman = Metrics(__file__)
foo_obj = None

def foo():
    print(f"Hello world {randint(0,1000000)}!")
    if foo_obj is None:
        ep1 = endpoints.Endpoint(endpoint="/", id=foo)
        foo_obj = flow.FlowNode(ep1, name="Object1")

    metricman.add_to_analytics(foo_obj, layerName="foo")

Users retrieve analytics using metricman.display(id='foo') for a specific method’s metrics, or metricman.display() for all recorded data.

Additional resources

See tests/flow_test.py in the repository for exploring additional capabilities. The GitHub repository contains downloadable archives and the complete source code.

• GitHub: anuran-roy/pymetrix
• Documentation: anuran-roy.github.io/pymetrix