Filter Bundle Laravel Package

Product Decisions This Supports

• Feature scoping: advanced search/filtering UX. This bundle adds compound, nested filter logic (AND/OR combinations) on top of API Platform collection endpoints. That directly unlocks product features that otherwise sit in the backlog behind query-layer work: saved filters, admin list views with multi-condition segments, partner-facing query APIs, and reporting/export screens.
• Build vs. buy. The alternative is 2–6 weeks of engineering to design, parse, validate, and secure a nested filter grammar against the ORM. This package (MIT, small surface area, readable source) lets you buy that time back and treat the implementation as forkable rather than load-bearing.
• Roadmap sequencing. Shipping self-serve filtering earlier means delaying a bespoke filter DSL or a move to a search engine (Elasticsearch/Meilisearch). Reasonable if your dataset and query patterns are relational and moderate in size.
• API contract decisions. How filter logic is expressed in query strings is a public, long-lived surface for API consumers. Adopting this package is a decision to standardize on its syntax — worth documenting and versioning deliberately, since migrating consumers later is expensive.
• Integration/partner strategy. If external consumers need to pull slices of your data ("give me all orders matching X or Y"), a filter DSL is often the difference between a self-serve integration and a support-ticket-driven one.

Stack caveat that shapes all of the above: this is a Symfony + API Platform bundle, not a Laravel package. If the team is on Laravel/Eloquent, this decision is moot — evaluate spatie/laravel-query-builder or query scopes instead. Only proceed if the stack is Symfony with API Platform (Doctrine ORM/ODM).

When to Consider This Package

Adopt when:

• Your stack is Symfony + API Platform and you need boolean/nested filter logic beyond the built-in SearchFilter and simple equality filters.
• The filtering need is genuinely compound (groups of conditions, OR branches), not just "filter by status and date."
• You're comfortable owning a thin dependency: 50 stars and 0 dependents means you should assume you may be the one debugging and forking it. The January 2026 release is a positive maintenance signal but not a community moat.
• MIT licensing and a small footprint fit your dependency policy.
• You can wrap it behind your own API contract and pin the version.

Look elsewhere when:

• You're on Laravel. Not applicable; use Eloquent scopes or a query-builder package.
• You need a heavily adopted, security-audited parser with a large community — thin adoption is a real support and CVE-response risk.
• You need full-text search, relevance ranking, or faceting — that's a search engine decision, not a filter-logic decision.
• Filtering is permission-aware (row-level security, tenant scoping) or otherwise domain-specific; that logic should live in your code, not a third-party grammar.
• You can't tolerate unbounded query complexity — deeply nested filters are a DoS/perf vector you must validate and cap regardless of package.

Pre-adoption checklist: confirm Doctrine compatibility, benchmark worst-case nested filters against production-sized tables, and verify input validation and complexity limits.

How to Pitch It (Stakeholders)

For executives: This is a free, MIT-licensed add-on for our Symfony/API Platform stack that lets us ship advanced, multi-condition filtering in our APIs in days rather than weeks — no bespoke build, no new vendor contract. Code risk is low: it's small, readable, and replaceable, and we'll wrap it so we can swap it out. The one caution is adoption: it's a niche package with a single-digit-size community, so we should budget a small amount of engineering ownership rather than assume community support.

For engineering: It gives API Platform collection endpoints nested AND/OR filter logic that the core filters don't provide. Fits our existing stack; there is no Laravel equivalent, so this only applies if we're on Symfony + API Platform. Before production we need to (1) cap filter nesting/complexity to prevent expensive queries, (2) benchmark against real table sizes, (3) pin the version and wrap the query-string syntax in our own documented contract so a future replacement isn't a breaking change for consumers.

Decision requested: Approve a time-boxed spike (roughly 3–5 days) to benchmark and validate, with adoption contingent on passing the complexity/performance checks.