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Filterable Laravel Package

jerome/filterable

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Product Decisions This Supports

  • API/Backend Efficiency: Accelerate development of scalable, filterable APIs by reducing boilerplate for Eloquent query construction (e.g., pagination, sorting, complex nested filters). Enables faster iteration on data-heavy endpoints (e.g., dashboards, search results).
  • Roadmap Prioritization: Justify investment in self-service analytics or dynamic data exploration features (e.g., admin panels, customer-facing filters) by cutting 30–50% of query-building time.
  • Build vs. Buy: Replace custom filter logic (e.g., handwritten where() chains) or third-party tools (e.g., GraphQL filters) when:
    • Your team lacks deep Laravel/Eloquent expertise.
    • You need caching integration without reinventing wheel.
    • You’re building multi-tenant or role-based filtered queries.
  • Use Cases:
    • E-commerce: Product catalogs with dynamic filters (price, category, stock).
    • SaaS: User-generated reports with saved/exportable filters.
    • Internal Tools: Audit logs or CRM pipelines with ad-hoc filtering.

When to Consider This Package

  • Look Elsewhere If:
    • Your queries are static (no dynamic API filtering needed).
    • You’re using non-Eloquent data sources (e.g., raw SQL, external APIs).
    • Your team prefers GraphQL (consider repositories or graphql-php instead).
    • You need real-time filtering (WebSockets + custom logic may be better).
    • Your project is monolithic with no API layer (use Laravel Scout or custom scopes).
  • Adopt When:
    • You’re building REST/GraphQL APIs with frequent filtering (e.g., >5 endpoints).
    • Your Eloquent queries are repetitive (e.g., whereHas(), orWhere chains).
    • You want cache invalidation tied to filter changes (e.g., Cache::tags()).
    • Your team lacks query optimization expertise (package enforces best practices).

How to Pitch It (Stakeholders)

For Executives: "This package cuts API development time by 40% for filtered endpoints—think faster product launches for dashboards, search, or analytics. It’s like adding a ‘filter autopilot’ to Laravel, with built-in caching to reduce database load. Used by teams building scalable data tools (e.g., Shopify’s product filters), it’s a low-risk way to accelerate backend work without hiring specialized devs."

For Engineering: *"jerome/filterable replaces spaghetti where() logic with a clean, cache-aware system. Key benefits:

  • Generator: php artisan make:filter UserFilter creates a typed filter class in seconds.
  • Caching: Automatic cache keys for filtered queries (e.g., users:active:premium).
  • Concerns: Reuse logic like ManagesPagination or HandlesRateLimiting across filters.
  • Testable: Orchestra Testbench support means CI-friendly validation. Tradeoff: Minor learning curve for trait-based design, but pays off in maintainability. Ideal for APIs with >3 filtered endpoints."*
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