beautiful-cov 0.1.0b2

Beautiful, local-first coverage reports for Python.

beautiful-cov is a command-line tool that turns Coverage.py data into compact, browsable HTML reports.

Coverage.py remains the source of truth. beautiful-cov focuses on the presentation layer: clear summaries, useful visual hierarchy, and static output that stays on your machine.

Why beautiful-cov?

Python already has excellent coverage measurement. What is missing is a modern local report that feels as good to use as hosted dashboards without requiring an account, an upload, or a service.

Screenshots

The project is guided by four principles:

• Local by default. Coverage data and source code never need to leave your machine.
• Coverage.py underneath. Measurement stays with the established Python coverage engine.
• Static and portable. Reports should open in a browser and be easy to archive or share.
• Useful before decorative. Visual polish should make uncovered code easier to understand, not hide it.

Installation

beautiful-cov requires Python 3.10 or newer.

python -m pip install --pre beautiful-cov

Usage

First, collect coverage data. With pytest-cov, enable test contexts so the report can show exactly which tests executed each covered line:

pytest --cov --cov-context=test

Then generate the local HTML report:

beautiful-cov

Coverage: 87.2%
Report: /path/to/project/beautiful-cov-report/index.html

By default, the report is written to beautiful-cov-report/. Choose another directory with --output:

beautiful-cov --output coverage-report

Run the command from the directory containing your .coverage data file. The generated report is a portable static directory: it has no hosted assets, account, telemetry, or network dependency.

The beta report includes:

• A compact project dashboard with coverage totals and distribution
• Statement, missing-line, and file totals
• Aggregated directory coverage
• Breadcrumb navigation through the project tree
• Filtering within directory contents
• Per-directory and per-file coverage bars
• A two-column source inspector with covered, missing, and excluded states
• Exact pytest node IDs for covered lines when contexts are present
• Previous and next missing-line navigation
• A responsive layout for smaller screens

Showing which tests covered a line

Coverage.py only records test names when context collection is enabled. With pytest-cov, the complete workflow is:

pytest --cov --cov-context=test
beautiful-cov --output coverage-report

Covered source lines will show the recorded pytest node IDs. Plain Coverage.py collection, such as coverage run -m pytest, is also supported, but it does not identify the tests responsible for each covered line unless contexts are configured separately. Reports generated without named contexts still show covered and missing lines, with a clear collection hint instead of invented test information.

Architecture

The code follows a small domain-driven design. Each layer has one clear job:

• Domain defines a valid coverage report. It has no dependency on Coverage.py or the command line.
• Application owns the report-generation use case and the input/output ports it needs.
• Infrastructure reads Coverage.py data, writes the static HTML report, and translates third-party failures into errors owned by beautiful-cov.
• Jinja templates own report markup; Python prepares typed view data and filesystem-safe navigation.
• CLI is the composition root. It parses input, connects the use case to the infrastructure adapters, and presents the result.

The boundaries are deliberately small. Coverage input and HTML presentation can change independently, so they use separate ports. Command-line parsing remains at the edge and the domain has no dependency on Coverage.py or HTML.

Planned capabilities

• Sorting and threshold filters
• Branch coverage and partial-branch annotations
• Optional Git diff coverage
• Light and dark themes
• Fully local static output

The roadmap is intentionally small. beautiful-cov will render coverage data; it will not replace Coverage.py, run a hosted service, or collect telemetry.

Development

Clone the repository and create an isolated environment:

python -m venv venv
source venv/bin/activate
python -m pip install --upgrade pip
python -m pip install --editable .
python -m pip install --group dev

Run the local command:

beautiful-cov

Run the test suite:

python -m unittest discover -s tests -v

Generate a report for beautiful-cov itself:

pytest --cov=beautiful_cov --cov-context=test
beautiful-cov --output beautiful-cov-report

Contributing

Focused bug reports, design feedback, and small pull requests are welcome during the beta.

License

beautiful-cov is licensed under the Apache License 2.0.

Project status

Version 0.1.0b1 is the first public beta. It includes the command-line interface, compact project and directory views, line-by-line source coverage, and optional per-line pytest attribution generated from existing Coverage.py data.