mlsolutions/chartjs-widget
A Laravel dashboard widget that renders Chart.js charts from PHP configuration. Define datasets, labels, and options in your widget class, then display responsive, interactive charts in admin panels with minimal setup. Supports common chart types and easy customization.
Architecture fit. This is a Laravel Nova dashboard card that wraps Chart.js. It slots into the standard Nova card contract: a PHP card class extending Laravel\Nova\Card, a service provider calling Nova::script() / Nova::style(), and a compiled Vue component that reads card.meta and instantiates a Chart.js instance on mount. For a product already running Nova, that is exactly the right shape — no new framework, no separate charting service, no API surface between the app and the visualisation. For anything outside Nova, the package is inert; it is not a general Laravel charting library.
Integration feasibility. Installation is a one-line composer require plus card registration in NovaServiceProvider::cards() or a specific dashboard's cards() method. Data is passed server-side (typically via withMeta or a fluent API) and serialised into the card's JSON payload. The realistic effort is half a day for a spike, not a sprint. The cost is almost entirely in verification, not wiring.
Technical risk. Everything here is adoption risk, not architecture risk:
composer audit, inspect the published dist JS for what it actually loads (CDN vs. bundled), and check for post-install scripts before it enters a production lockfile.Key questions to resolve in the spike.
composer.json's require (or conflict) block — ^4.0, ^5.0, both?withMeta, or a calculate()-style metrics contract? Does it accept a raw array, or force Eloquent models?Stack fit. Assumes PHP 8.1+, Laravel 10/11, and a licensed Nova install. The laravel/nova requirement makes this invisible to anyone without a Nova license — there is no fallback path, which is fine if Nova is already a platform commitment and a blocker if Nova is under evaluation.
Migration path. If the organisation already has charts on a Nova dashboard, they are almost certainly either correia-jpv/flexbox-chart-js, digital-creative/chartjs, or bespoke Vue cards. Do not swap them directly. Introduce a thin internal seam first: a ChartCardFactory (or a repository returning a normalised ['type', 'labels', 'datasets', 'options'] array) that every dashboard card consumes. The third-party widget then becomes a replaceable rendering adapter. This costs roughly a day and reduces the eventual replacement of an abandoned package from a refactor to a use statement change.
Compatibility. Pin an exact version — no caret range on a single-maintainer package with zero dependents. Run composer why-not laravel/nova after install to confirm the resolver did not silently downgrade Nova. Verify on a staging Nova instance running the same major as production, and repeat that verification as part of every Nova upgrade ticket.
Sequencing.
composer audit, inspect dist JS, review the card class and service provider source end to end — it is small enough to read fully.Maintenance. Plan for ownership transfer. With zero dependents and one maintainer, the realistic operating model is an internal fork that tracks upstream opportunistically rather than a live Composer dependency. Budget a few hours per quarter for Nova compatibility checks; more if the team customises the Vue component, which effectively ends upstream merges.
Support. There is no vendor, no SLA, and no community to escalate to. GitHub issues are best-effort. The mitigation is structural — a fork with an internal owner and a documented "who fixes this on a Nova upgrade" — not contractual.
Scaling. The widget is not the bottleneck; the dashboard is. Every card renders client-side from a server-serialised payload, so the cost scales with the number of cards, the size of the datasets, and the query behind each card. Dashboards with eight chart cards each running an unindexed aggregate will degrade the whole admin panel, not just the chart. Mitigations: aggregate in SQL rather than PHP, cache card data with a 5–15 minute TTL, cap datasets at a few hundred points and downsample server-side, and load charts lazily so an above-the-fold metric card is not blocked by a below-the-fold timeseries.
Failure modes.
Content-Security-Policy blocks it in production while working fine locally.Ramp-up. Using the package is genuinely low-effort — a PHP developer can produce a working chart in an hour from the README, and the mental model (Nova card + Chart.js options object) maps to what most Laravel developers already know. Customisation is where it gets expensive: touching axis ticks, tooltips, or mixed chart types means editing the Vue component and rebuilding assets with Nova's toolchain, which is a multi-day task for a developer who has not worked inside Nova's card build before. Staff accordingly — cheap to adopt, moderately expensive to own.
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