Laravel Specification Pattern Laravel Package

Product Decisions This Supports

• Reusable filter logic: Lets the team express business rules (e.g. "active premium EU customers") as named, testable specification objects, so one rule can be applied consistently across features instead of being copy-pasted into controllers or scopes.
• Composable filter UIs: Supports faceted search, dashboards, and filter panels — specifications can be combined with and/or/not operators, so you can ship new filter combinations on the roadmap without rewriting query logic. Maps well to features like "advanced filtering" or "saved segments."
• In-memory collection filtering: Fits scenarios where data is already loaded — cached results, third-party API payloads, imported CSVs, aggregated reporting data — where an Eloquent/query-builder approach doesn't apply.
• Build vs buy: The underlying pattern is small and easy to hand-roll; adopting the package mainly buys a standardized API and shared vocabulary. Worth buying only if multiple features or teams will use the pattern.
• Refactoring/tech-debt decision: A lever for pulling ad-hoc filtering out of fat controllers and services into named, unit-testable rules, which de-risks future filter-related features.

When to Consider This Package

Consider it when:

• You filter collections in application code (not SQL) — already-loaded models, cached payloads, external data.
• You expect several features to share filter logic and want one vocabulary for it.
• You value testability and composability of rules over raw query performance.
• The team understands the specification pattern and will maintain a consistent set of specifications.

Look elsewhere when:

• Filtering belongs at the database layer — use Eloquent scopes, spatie/laravel-query-builder, or dedicated query packages; this package does not build SQL.
• Adoption risk is a concern: 15 GitHub stars is very low, implying a small community and high bus factor. Vet maintainability and pin the version.
• Performance matters: applying many specifications over large in-memory collections is slower than a single query.
• The rule set is trivial — one or two conditions don't justify a pattern or a dependency.
• You need long-term vendor support, SLAs, or enterprise backing.

How to Pitch It (Stakeholders)

For executives: A small MIT-licensed utility that standardizes how we filter data in code. It lets us ship filter features faster and keeps business rules consistent and testable, reducing bug surface. The footprint is tiny and reversible — low cost, low lock-in. Main watch-item: the project is community-maintained with a small user base, so we should pilot it and pin the version before wider rollout.

For engineering: It applies the classic specification pattern to Laravel collections, giving named, composable (and/or/not), unit-testable filter objects instead of scattered conditionals. Best suited to in-memory filtering (cached/API/imported data); pair with Eloquent scopes for DB-level work. The API is small and readable, MIT-licensed, and actively released. Caveat: low stars/adoption — evaluate first and consider wrapping it behind our own interface to contain dependency risk.