Python Code Coverage

Upload Python files to analyze code coverage percentages and generate detailed coverage reports.

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Worked Example & Common Values

Below is a sample worked calculation demonstrating how Python Code Coverage processes input data instantly inside your browser.

Sample Input Birth date: Jan 15, 1995, Target date: Oct 20, 2023

Computed Result Chronological Age: 28 Years, 9 Months, 5 Days (10,505 days elapsed)

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Om dette verktøyet

This Python Code Coverage Tool allows developers to analyze test coverage for their Python code. Simply upload your Python source files and test files, select the coverage type (line, branch, or statement), and get a comprehensive coverage report. The tool calculates coverage percentages, identifies uncovered lines, and provides detailed breakdowns by file. It's perfect for checking test effectiveness during development.

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Hvordan bruke

Upload Python source files (.py) using the file upload area
Upload test files (.py) that exercise your code
Select coverage type: Line, Branch, or Statement coverage
Choose output format: HTML report or JSON data
Click 'Analyze Coverage' to process your files
View the detailed coverage results with percentages and uncovered lines

How to use code coverage tool for python

Frequently Asked Questions

Finn raske svar

What Python versions does this tool support?

The tool supports Python 3.6 and above. It uses the standard coverage.py library which is compatible with most modern Python versions.

What file formats can I upload?

You can upload Python source files (.py) and test files (.py). The tool processes standard Python files with UTF-8 encoding.

What's the difference between line, branch, and statement coverage?

Line coverage checks if each line of code was executed. Branch coverage checks both true/false paths in conditional statements. Statement coverage checks if each statement was executed (similar to line coverage but more granular).

Is there a file size limit?

The tool can handle files up to 10MB each. For larger projects, consider analyzing individual modules separately.

How accurate are the coverage results?

The tool uses the industry-standard coverage.py library, which provides accurate coverage measurements used by professional Python developers worldwide.

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