coveralls
Show coverage stats online via coveralls.io
Decision gist · record as of 2026-08-14
Yes. Coveralls is actively maintained, has no known vulnerabilities, low install friction, and a permissive MIT license. It is the standard tool for publishing coverage to coveralls.io and integrates cleanly into existing coverage.py workflows. Install it if you use coveralls.io for coverage tracking.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; requires coverage.py to be installed and a coverage data file to exist.
- Low install friction with a pure-Python wheel distribution.
- Actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open and closed projects with minimal attribution requirements.
last release 2026-02-28 (167 days) · last repo commit 2026-08-10 · 569 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,210,220 downloads/mo, #4,215 on PyPI
Alternatives
Verify before relying
pip install coveralls
coverage run --source=mypkg -m pytest tests/
coveralls- Whether the package works with all CI/CD platforms or has platform-specific limitations.
- Whether authentication tokens or environment variables are required for coveralls.io integration.
What it is and what it does
Coveralls is a Python client that publishes test coverage reports to the coveralls.io service. It wraps coverage.py output and sends it to coveralls.io's servers, allowing teams to track coverage metrics over time and across builds. The package integrates into typical test workflows: you run coverage.py to generate metrics, then invoke coveralls to upload them. It depends on coverage, requests, and typer.
The package is designed for CI/CD pipelines where coverage reports need to be centralized and visualized. It requires Python 3.10 or later and is actively maintained with no known security vulnerabilities. Installation is straightforward and install friction is low.
Use it for
- Publish coverage reports from CI/CD pipelines to track test coverage trends over time.
- Integrate coverage metrics into pull request checks to enforce minimum coverage thresholds.
- Centralize coverage data from multiple test runs or branches in a single dashboard.
- Generate coverage badges for README files to display test coverage status.
- Monitor coverage regressions across different Python versions or implementations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Coveralls is actively maintained, has no known vulnerabilities, low install friction, and a permissive MIT license. It is the standard tool for publishing coverage to coveralls.io and integrates cleanly into existing coverage.py workflows. Install it if you use coveralls.io for coverage tracking.
Install
coveralls on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with a recent release and no known vulnerabilities.
Requires Python 3.10 or later; requires coverage.py to be installed and a coverage data file to exist.
License in practice
MIT license permits unrestricted use, modification, and distribution in both open and closed projects with minimal attribution requirements.
Quickstart
pip install coveralls
coverage run --source=mypkg -m pytest tests/
coverallsVerify before relying
- Whether the package works with all CI/CD platforms or has platform-specific limitations.
- Whether authentication tokens or environment variables are required for coveralls.io integration.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagescoveragerequeststyper |
| Maintenance | Actively maintained 167 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,210,220 / month, #4,215 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Software Development :: Testing |
Evidence: coveralls-4.1.0-py3-none-any.whl
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See also python-coveralls · django-coverage-plugin · coverage-badge · hatch · python-jwt · coverage_enable_subprocess · codecov · junit-xml-2 · mock