Dextool Mutate vs pytest-gremlins
Dextool Mutate
joakim-brannstrom.github.iopytest-gremlins
github.comSide by side
| Figure | Dextool Mutate | pytest-gremlins |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Linux | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 0 | 1 |
| Spec score · Mutation Testing Tools | 7.4 (#15) | 7.7 (#10) |
| License | The repository's LICENSE file identifies the source code license as Mozilla Public License, version 2.0. | The project is MIT licensed. |
| Purpose | Dextool Mutate is a C/C++ mutation testing tool that evaluates whether tests detect artificially injected faults. | pytest-gremlins is a pytest plugin that injects small code mutations and checks whether tests catch them. |
| Reports | It can produce console, compiler warning, JSON and HTML reports. | It supports console, HTML, and JSON reports, including multiple report formats in one run. |
Plans
In their own words
Dextool Mutate
Dextool Mutate 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.