- How do I install janiaje/benchmark in a Laravel application?
- Install it with Composer as a development dependency, for example composer require --dev janiaje/benchmark. The package uses Laravel package auto-discovery, so its service provider and facade are registered without manual setup. There are no database migrations and no config publishing required for basic use, so you can start benchmarking within minutes.
- Does janiaje/benchmark support Laravel 11 and Laravel 12?
- Support is not clearly evidenced: the last release was September 2023 and the package has no dependents or visible CI matrix against newer Laravel majors. Before adopting it, check the composer.json illuminate/support constraint and PHP constraint against your runtime, for example PHP 8.2 or 8.3. Assume you are the one testing that combination, and keep the dependency in require-dev so a broken update cannot affect production.
- What is the difference between janiaje/benchmark and Laravel's built-in Benchmark helper?
- Laravel has shipped Illuminate\Support\Benchmark with measure() and dd() since Laravel 9, which covers most single-shot timing needs. janiaje/benchmark's value proposition is a fluent API and likely nicer output formatting, but that is a thin margin over the framework helper. Benchmark both on your own code paths before adding a third-party dependency.
- Should I use janiaje/benchmark in production code?
- No. It is a development-time observability tool, not runtime infrastructure, so it should stay out of request-path domain code. Restrict it to seeders, artisan commands, test suites and one-off profiling scripts, and install it with require-dev. For production telemetry use Telescope, Pulse or OpenTelemetry rather than in-process timers.
- How do I benchmark a code snippet with janiaje/benchmark?
- The package exposes a fluent API through its facade, so you wrap the snippet you want to time and read the measured execution time from the result. Typical use is comparing two implementations of the same operation, such as a query loop, a serialization path or an export job, to see which is faster. Because the API is small, the fastest way to learn it is the repository README and a quick spike in a scratch command.
- Can janiaje/benchmark measure memory usage or run repeated iterations?
- The package's stated purpose is measuring code execution time and comparing implementations; memory reporting and statistical repetition are not clearly documented in the available material. Verify in the source or README before depending on those features. For rigorous measurement, wrap the benchmark in your own loop and report averages, since in-process timing is sensitive to JIT warmup, opcache state and Xdebug.
- Is janiaje/benchmark still maintained?
- Signals are weak: roughly 16 GitHub stars, zero dependents, a single maintainer and a last release in September 2023. That suggests a personal utility rather than an actively maintained library, with a real bus factor. If you adopt it, plan for the possibility that you fork and vendor it, and keep call sites few so removal stays cheap.
- What are good alternatives to janiaje/benchmark for profiling Laravel?
- Start with the first-party Illuminate\Support\Benchmark helper, which is already in the framework from Laravel 9 onward. For deeper profiling use the Xdebug profiler, Blackfire, or Laravel Telescope and Pulse for runtime insights. A plain hrtime() harness is also a valid baseline when you want zero dependencies.
- Is it safe to use janiaje/benchmark in my test suite?
- It can be used in tests as a development dependency, but avoid turning its numbers into hard assertions, because timing varies with machine load, JIT and Xdebug. Use it for exploratory comparisons or log output rather than CI gates. Also pin the version so a silent composer update cannot break your suite.
- How do I remove janiaje/benchmark if I decide not to keep it?
- Removal is a composer remove janiaje/benchmark plus deleting the call sites, since there are no migrations or published config to clean up. The downside of trying it is therefore bounded, which makes a contained spike on one branch a sensible adoption strategy. Compare results against Illuminate\Support\Benchmark before standardizing.