- How do I install graham-campbell/matrices in a Laravel project?
- Install it with Composer using a version constraint you have reviewed, for example composer require graham-campbell/matrices. Laravel can use the package's optional service-provider integration through package discovery if the installed version supports it. After installation, run a small calculation in a service class or tinker session to confirm the API behaves as expected. No database migrations or external services are required.
- Which Laravel and PHP versions does graham-campbell/matrices support?
- The evaluation notes that supported PHP and Laravel versions must be confirmed before adoption. Check the package's composer.json, release history, and Packagist metadata for the exact version constraints. Do not assume support for your Laravel version based only on auto-discovery. Pin a version that matches your application's PHP runtime and test it in a proof-of-concept branch.
- Do I need the Laravel service provider to use Matrices?
- No, the package is described as a standalone PHP library with optional Laravel service-provider integration. You can instantiate and use the matrix classes directly from application services, jobs, or domain helpers. Prefer standalone usage unless the service provider adds clear value such as container bindings or configuration. Keeping it standalone also reduces framework coupling if you later replace the implementation.
- What matrix operations can I perform with graham-campbell/matrices?
- The package is intended for common matrix algebra operations such as creating, manipulating, and computing matrices through a clean object-oriented API. The technical evaluation specifically flags determinant, inverse, adjoint, and cofactor operations as areas to validate. Confirm the exact public API in the README or source before designing around it. Keep the operations small and bounded unless you independently benchmark larger workloads.
- Can I use graham-campbell/matrices without Laravel?
- Yes, it is a lightweight PHP library and is expected to work in standalone PHP projects as well as Laravel applications. You can require it via Composer and call its matrix classes from plain PHP scripts or framework-agnostic services. This is often the better choice when Laravel container integration is not needed. Verify the PHP version constraint in composer.json before installing.
- How should I handle singular or near-singular matrices with this package?
- Treat singular and near-singular matrices as edge cases that need explicit tests, especially before relying on inverse, adjoint, or cofactor operations. The evaluation recommends comparing outputs against known fixtures or an independent implementation. Add validation and error handling in your own service wrapper rather than assuming the package will catch every numerical problem. For critical calculations, decide whether floating-point results are acceptable or exact decimal arithmetic is required.
- Is graham-campbell/matrices suitable for large matrices or high-performance numerical work?
- It is positioned as a lightweight utility for small, bounded matrix operations, not a scientific-computing platform. The technical evaluation warns that performance risk grows quickly with matrix dimension and repeated inverse operations. It does not appear intended for sparse matrices, high-throughput numerical workloads, or strict numerical reproducibility. Use it for small transforms, simple scoring models, or demo features, and benchmark before expanding scope.
- How do I test matrix calculations in a Laravel application?
- Wrap the package behind an application-owned interface such as MatrixCalculator, then write unit tests against that interface using known input and output fixtures. Include cases for invalid dimensions, singular matrices, and floating-point tolerance rather than exact equality. A short proof-of-concept branch with one or two representative calculations is enough to validate the API shape. If the results are critical, compare them with an independent implementation such as MathPHP or a hand-calculated fixture.
- Is graham-campbell/matrices actively maintained and production-ready?
- The evaluation flags dependency risk: the repository signals show zero dependents and no meaningful community traction, so production validation is limited. Review the license, release history, maintenance cadence, test coverage, and open issues before adopting it. Do not make it a platform-level dependency without validating numerical correctness and long-term ownership. For a narrowly scoped pilot, keep it behind an internal abstraction and have a plan to fork or vendor it if upstream maintenance stops.
- What alternatives to graham-campbell/matrices should I consider?
- If you need broader numerical capabilities, MathPHP is a common PHP alternative to evaluate alongside this package. A small in-house helper may be better when your required operations are very limited and you want full control over edge cases and precision. The right choice depends on matrix dimensions, required operations, numerical stability needs, and maintenance expectations. Run the same proof-of-concept calculations across candidates before committing.