Filament Table Presets Laravel Package

Product Decisions This Supports

• Build vs. buy for "saved views" in admin tables. Filament tables ship with filters, column toggles, sorting, and search — but no native persistence layer for a named combination of those. This plugin is a ready-made answer to a recurring feature request, letting you avoid spending 2–4 sprint weeks on a bespoke implementation of something that is essentially CRUD over a table_presets table plus a Filament action/menu hook.
• Power-user retention and workflow depth. Presets are the difference between "every ops analyst re-applies the same six filters every morning" and "the Monday reconciliation view is one click away." That is a measurable time-to-insight and repeat-visit lever for internal tools, not a cosmetic UI nicety.
• Persona-specific default views. Presets let one admin surface (support, finance, logistics) serve multiple teams whose "correct" table configuration differs. This can defer or replace requests for separate dashboards per team — a scope-reduction decision worth pricing out.
• Roadmap sequencing for admin polish. Because it is a thin, MIT-licensed bolt-on, it can land as a low-risk increment in a hardening/release-quality sprint rather than consuming a full feature slot. Useful when you need visible UX wins without a large bet.
• Vendor/risk posture. With 17 stars, 0 dependents, and a low opportunity score, this reads as under-validated but cheap. The decision it supports is not "adopt as a strategic dependency" but "trial, and treat the source as a starting point we are willing to own."

When to Consider This Package

• You are already on Filament (v3/v4) and Laravel, and your users are internal staff living in admin/resource tables daily.
• The same filter + column + sort combinations recur, and you have qualitative signal (support tickets, session recordings, verbal complaints) that people are rebuilding views manually.
• Presets are per-user or per-team, not enterprise governance artifacts. If you need org-wide shared presets with role-based permissions, approval flows, or audit trails, this plugin is a starting point, not the product.
• Your team can absorb ownership. Single-maintainer, low-adoption packages should be pinned to a version, forked into your org, or wrapped behind a thin internal adapter so you can swap it out. If your engineering org has no appetite for that, walk away.
• You do not need this in customer-facing UI. This is an admin-panel tool; exposing preset semantics to end customers implies a different bar for consistency, onboarding, and support.

Look elsewhere (or build in-house) when: you are not on Filament; you need presets to be shareable across tenants with permissioning and lifecycle management; you require vendor SLAs or security review of a maintained dependency; the table configuration surface is heavily customized (custom filters/actions) such that a generic preset serializer will not survive contact with your schema; or your tables are used too infrequently for the workflow savings to matter.

How to Pitch It (Stakeholders)

To executives: This is a small, MIT-licensed plugin that closes a known usability gap in our admin panel — letting staff save and reload table views instead of re-applying filters every session. It is a low-cost, low-blast-radius increment that improves internal tool efficiency and reduces the steady drip of "can I just save this view?" requests. The dependency risk is modest and manageable: it is a thin layer over an API we already use, and we would pin and vendor it so we are never blocked by the upstream maintainer. Recommendation: timeboxed trial in one admin surface, with a go/no-go based on measured adoption after 30 days.

To engineering: It is a Filament plugin that persists named table configurations (filters, column visibility, sort) and exposes load/save actions — essentially a UI plus storage layer over the table schema you already define. Adoption cost is small; the real work is (a) deciding preset scope — personal vs. team vs. global, (b) migrating/versioning preset payloads when table schemas change, which is the failure mode to design against, and (c) owning the code. Plan to fork it, pin a version, and add a regression test around preset deserialization before shipping to more than one resource. If the plugin's storage model does not fit our multi-tenancy, treat the repository as a reference implementation and budget the delta accordingly.