rmasters/filter
rmasters/filter is a Laravel package for filtering Eloquent models from request query strings. Define reusable filters, map them to parameters, and keep controllers clean with composable, request-driven query filtering.
Architecture fit. rmasters/filter is a thin convenience layer over Laravel's Eloquent query builder that moves request-driven filtering out of controllers and into reusable filter definitions. That aligns with the common Laravel pattern of keeping controllers thin and pushing query logic into scopes, actions, or dedicated filter classes. It fits cleanly into applications that are already Eloquent-centric and use a request → controller → query flow. It is a poorer fit for codebases that have deliberately abstracted persistence behind repositories or domain services, because the package's value proposition is precisely its proximity to Eloquent; adopting it can reintroduce query-builder coupling into layers you have tried to isolate.
Integration feasibility. The integration surface is small: a Composer dependency plus a trait or filter registration on models, with no external services, queues, or infrastructure. MIT licensing removes legal friction, and the small footprint means the code can be read, forked, or vendored in an afternoon. The main feasibility question is not "can we install it" but "is it compatible with our Laravel and PHP versions and is it still maintained." At 21 stars the package has minimal community validation, so we should treat it as unproven in production and verify its composer.json constraints, test suite, and last-commit activity before committing.
Technical risk. The dominant risk is maintenance, not correctness: a low-star package with a single maintainer is likely to lag behind Laravel majors, and an unpatched dependency in the request-handling path is a long-term liability. Secondary risks are API stability (a small package may change its filtering conventions between minor releases) and silent behavioral gaps (filters that are declared but not applied, or request parameters that are accepted without whitelisting). Because the code footprint is small, lock-in is low and the exit cost is a fork rather than a migration.
Key questions.
Stack fit. The package is a natural fit for a standard Laravel + Eloquent API or admin surface where listing endpoints accept query-string filters. It should be positioned as a complement to—not a replacement for—Eloquent scopes and policies: scopes remain the right tool for reusable domain predicates, and the package handles the request-to-query translation. Where teams are already standardizing on a query-builder abstraction, compare against alternatives such as spatie/laravel-query-builder (larger community, more conventions) or hand-rolled filter pipelines before adopting; if the team wants minimal dependencies, plain local scopes remain viable.
Migration path. Do not introduce it as a cross-cutting change. Pilot it on one or two read-only listing endpoints (ideally admin/internal, where a regression is low-blast-radius), define the filter conventions there, then expand. Where existing controllers hand-roll $request->has(...) chains, migrate endpoint by endpoint, mapping each existing parameter to an explicit filter definition and deleting the old branch only after tests confirm parity. If upstream maintenance looks weak, vendor the package into the application namespace behind a small internal interface so the call sites do not depend on the upstream API.
Compatibility. Pin an exact version in composer.json, verify against the target Laravel/PHP matrix in CI, and add contract tests that assert each declared filter produces the expected SQL/result set. Run static analysis (PHPStan/Larastan) over the package if it is vendored. Check for conflicts with existing query middleware, global scopes, and multi-tenancy filters, since a package that manipulates the query builder can interact badly with scopes applied elsewhere.
Sequencing.
Maintenance. Expect to own this. The repository is small and low-activity, so plan for an internal maintainer who can read the source and patch it, and treat a fork as the likely steady state within a year or two. Budget a small recurring cost—dependency review each Laravel upgrade—rather than a large one-time integration cost.
Support. There is no commercial support and no vendor SLAs; the support channel is GitHub issues and the source itself. That is acceptable for a small utility but means incident response depends on internal Laravel expertise. Document the package's behavior in an internal runbook so on-call engineers do not have to reverse-engineer it during an incident.
Scaling. Filtering is a query-layer concern, so scale impact is mostly about database behavior: unindexed filter columns, filters across relations that produce joins or N+1 patterns, and combinatorial filter sets that generate expensive queries. Establish guardrails—allowlisted filterable columns, index coverage for those columns, pagination enforced on every filtered endpoint, and query-time monitoring on listing endpoints as filter adoption grows.
Failure modes.
Ramp-up. Low for engineers already fluent in Eloquent: the concept is familiar and the API surface is small, so onboarding is measured in hours, not days. The real ramp-up cost is establishing and enforcing the team's filter conventions (allowlisting, naming, validation) so that adoption does not fragment into per-endpoint interpretations. Assign one engineer as the package owner and reviewer for all filter-related pull requests.
How can I help you explore Laravel packages today?