Skip to main content

Additional tools for Python coverage

Project description

This package is a collection of command line tools for coverage to produce verbose reports and/or stats measurements of your test coverage.

Available tools include:

  • coverage-annotate - prints the source code and prefixes each line with + or - depending on wheather it was executed during testing or not;
  • coverage-combine - combines several .coverage data files into one;
  • coverage-diff - compares the annotated sources from two coverage data files to highlight the difference in test coverage between them;
  • coverage-report - report on arbitrary file(s);
  • pickle2json - convert .coverage files from pickle to JSON format; Needs coverage version 4.0 at least;


Use pip to install from PyPI:

pip install coverage-tools


Version 0.0.4

  • New tool coverage-report;
  • New tool pickle2json;

Version 0.0.3

  • New options for coverage-annotate
    • -N - show line numbers
    • -i - list of files to include in the report
    • -e - list of files to exclude from the report

–include and –exclude support shell globs. If none is specified all files in the coverage data file are shown. The include list is evaluated first, then the exclude list is evaluated.

  • New options for coverage-diff
    • -N - show line numbers
    • -i - list of files to include in the report
    • -e - list of files to exclude from the report

The same limitations apply to all options.

  • New tool coverage-combine which supports shell globs.

Version 0.0.2

  • First release on PyPI


Source code and issue tracker are at

Project details

Download files

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

Files for coverage-tools, version 0.0.4
Filename, size File type Python version Upload date Hashes
Filename, size coverage-tools-0.0.4.tar.gz (5.8 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page