Coverage

Measure code coverage to ensure your tests cover all bases.

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Coverage?

Coverage is a tool for measuring code coverage in Python programs. It helps developers understand which parts of their code are being exercised by tests and which aren't, aiding in improving test quality and completeness.

Key differentiator

Coverage stands out by providing detailed and flexible code coverage measurement tailored to the needs of Python developers, with robust reporting capabilities that cater to both individual developers and larger teams.

Capability profile

Strength Radar

Measures code co…Generates report…Supports branch …Integrates with …

Honest assessment

Strengths & Weaknesses

↑ Strengths

Measures code coverage for Python programs

Generates reports in HTML, XML, and CSV formats

Supports branch coverage analysis

Integrates with pytest and other testing frameworks

Fit analysis

Who is it for?

✓ Best for

Python developers who need detailed insights into their test suite's effectiveness

Teams aiming to maintain high standards of software quality through rigorous testing

Projects where regulatory requirements demand thorough code coverage reporting

✕ Not a fit for

Developers working in languages other than Python, as Coverage is specifically designed for Python

Scenarios requiring real-time analysis or monitoring of test coverage during development

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Next step

Get Started with Coverage

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →