Python Performance toolt & utilities

In a nutshell Python performance tools is a small library with a set of utilities to help you measure and analyze the performance of your code.

Install

> pip install python-performance-tools

Usage examples

Example 1

# File: example_1.py

import os
import time

from performance_tools import *


def main():
    environment = os.environ.get("ENVIRONMENT", None)

    with catch_time("Example message 2", lambda: environment in ("DEVELOPMENT", "STAGING")):
        for i in range(10):
            time.sleep(1)


if __name__ == '__main__':
    main()

After running the code, you will see:

> python examples/example_1.py
Time: 1.021636976 :: Example message

Example 2

# File: example_2.py

import os
import time

from performance_tools import *


def main():
    environment = os.environ.get("ENVIRONMENT", "STAGING")

    with catch_time("Example message 2", lambda: environment in ("DEVELOPMENT", "STAGING")):
        for i in range(10):
            time.sleep(0.1)


if __name__ == '__main__':
    main()

After running the code, you will see:

> export ENVIRONMENT=DEVELOPMENT
> python examples/example_2.py
Time: 1.035312797 :: Example message 2

License

Dictionary Search is Open Source and available under the MIT.

Contributions

Contributions are very welcome. See CONTRIBUTING.md or skim existing tickets to see where you could help out.