mutator vs pytest-gremlins
mutator
pdonatbouillud.compytest-gremlins
github.comSide by side
| Figure | mutator | pytest-gremlins |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Linux | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Mutation Testing Tools | 6.9 (#21) | 7.7 (#10) |
| Installation | The released version can be installed from CRAN with install.packages("mutator"), and development versions are available from GitHub and R-universe. | The project documents installation with pip, uv, and Poetry. |
| License | The package is licensed under GPL (>= 3). | The project is MIT licensed. |
| Purpose | mutator is an automated mutation testing tool for the R language that checks whether a test suite detects systematic changes to source code. | pytest-gremlins is a pytest plugin that injects small code mutations and checks whether tests catch them. |
Plans
In their own words
mutator
mutator has no write-up on Specifiction yet; its figures are above.
pytest-gremlins
pytest-gremlins is a pytest plugin for checking whether an existing test suite catches small changes to code. It runs mutation tests against Python projects and can report results in the console, HTML, or JSON, including multiple formats in one run. Getting started requires Python 3.11 or later, pytest 7.0 or later, and existing tests; installation is documented with pip, uv, and Poetry. The project’s quick-start command is `pytest --gremlins`. To manage execution, it uses mutation switching, coverage-guided test selection, incremental analysis, and parallel execution, and it works with pytest-xdist. Options can be set in `pyproject.toml` or with command-line flags, while inline pragmas can pardon specific mutations. A GitHub Action can run the checks and fail a workflow if its score misses a threshold; CI examples also cover GitLab CI, CircleCI, and Dagger. It is a free, MIT-licensed package for Linux, classified as Alpha. The guide warns that an initial run may take 10–100 times as long as a normal test run, though caching can shorten later runs. It also notes that equivalent mutations can make a perfect score unattainable and unnecessary.