MutPy vs muttest-rs
MutPy
github.commuttest-rs
github.comSide by side
| Figure | MutPy | muttest-rs |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Linux | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 0 |
| Spec score · Mutation Testing Tools | 7.9 (#7) | 6.5 (#25) |
| Installation | The project README gives pip installation and source installation instructions. | The README instructs users to install the `cargo-muttest` Cargo plugin and add `muttest` to their crate. |
| Intended users | PyPI classifies the package for developers and software testing. | The documented setup is for Rust crate developers who want to assess how well their tests detect code changes. |
| License | The project is licensed under the Apache License, Version 2.0. | The repository includes an MIT license that permits use, copying, modification, distribution, sublicensing, and sale subject to its terms. |
| Purpose | MutPy is a mutation testing tool for Python source code that evaluates the quality of software tests. | muttest-rs is a Rust mutation testing tool for evaluating whether a test suite catches simulated bugs. |
| Reports | MutPy can generate YAML and HTML reports and colorful console output. | The tool writes a JSON report to `target/muttest/report.json`. |
Plans
In their own words
MutPy
MutPy is a mutation testing tool for Python that checks whether a test suite catches changes to its source code. It creates mutations at the abstract syntax tree level, then runs tests to reveal which changes go undetected. The project describes compatibility with Python 3.3 and later. It uses unittest by default, while pytest support is experimental. Reports can be generated in YAML or HTML, and coverage analysis can restrict mutation to code exercised by tests. Users can also select or disable operators and sample a percentage of mutants. MutPy supports higher order mutations and includes standard and experimental operator sets. Installation is documented through pip from PyPI or from the repository source. The software is free at free and licensed under Apache License 2.0. PyPI lists version 0.6.1, released November 17, 2019, as the latest release. The README warns that disabling stdout can damage tests that interact with sys.stdout.