Skip to main content

Type-safe error handling for Python.

Project description

errs Documentation Status Updates

Type-safe error handling for Python.


pip install errs


The @errs decorator marks any function or method that raises an Exception. Rather than handling the Exception explicitly, we collect the result of the function and then check whether an error occurred.

This leads to code that is more explicit about error handling as well as resilient to the raising of unforeseen exceptions. This style is similar to error handling in Go.

Additionally, all exceptions wrapped by @errs will be logged to the default Python logger on the error level. This provides a powerful abstraction where runtime behaviors are logged and separated from current application state.

from errs import errs

def raises(): #type: () -> int
    raise Exception('this will get logged')
    return 0

def check_error(): #type: () -> None
    out, err = raises()
    print('Error: {err}'.format(err.check()))

if __name__ == '__main__':
    check_error() #prints Error: True


This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.


0.1.0 (2018-12-30)

  • First release on PyPI.

Project details

Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
errs-0.1.1-py2.py3-none-any.whl (4.5 kB) Copy SHA256 hash SHA256 Wheel py2.py3
errs-0.1.1.tar.gz (9.3 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page