MetricUI vs shadcn/ui Charts

TL;DR

shadcn/ui Charts gives you a thin Recharts wrapper with 6 chart categories, a copy-paste workflow, and total code ownership. MetricUI gives you 18 chart types, a complete filter/drill-down/export stack, dashboard layout primitives, and AI insights — all through props, not code you maintain. If you are building a marketing site with a chart or two, shadcn is a fine choice. If you are building a dashboard, MetricUI ships it in a fraction of the time and code.

What is shadcn/ui Charts?

shadcn/ui is not a component library in the traditional sense. It is a curated collection of copy-paste components built on Radix UI and Tailwind CSS. The charts section follows the same model: you run npx shadcn add chart to install a thin abstraction layer — ChartContainer, ChartConfig, ChartTooltip, ChartLegend — and then copy raw Recharts code from the docs into your project.

The underlying engine is Recharts (updated to v3). shadcn provides roughly 68 chart examples across 6 categories: Area, Bar, Line, Pie, Radar, and Radial. Everything else — data transformation, layout, state management, interactivity — is your responsibility. That is the point. You own every line.

With approximately 729K CLI downloads per month, shadcn/ui has enormous mindshare. It is, without question, the most culturally influential component project in the React ecosystem right now.

What is MetricUI?

MetricUI is a purpose-built dashboard component library. It ships 31 components, 5 providers, and 15+ hooks as a single npm package. All 18 chart types are backed by Nivo. Filters, cross-filtering, drill-down, export, layout, and AI insights are built in and wired together through React context.

The philosophy is different from shadcn: instead of owning the code, you own the data and the configuration. MetricUI handles rendering, interactivity, theming, accessibility, and state — you pass props and plug in your data source. It is a product, not a pattern.

Philosophy: Own It vs. Ship It

shadcn/ui's core insight is that developers do not want a black box. They want to read the source, modify it, and never worry about upstream breaking changes. For general UI — buttons, dialogs, dropdowns — this is a genuinely great model. You copy the code, it becomes yours, and you move on.

For charts and dashboards, the calculus changes. A chart is not a button. It has axes, legends, tooltips, responsive sizing, animation, accessibility attributes, color scales, data state handling (loading, empty, error), and interaction layers. When you “own” that code, you also own every bug fix, every Recharts migration, and every edge case across every viewport.

MetricUI takes the opposite position: you should own the wiring, not the rendering. Your code defines what data to show, how to filter it, and what happens on interaction. The library handles the 200 things that make a chart production-ready. This is not laziness — it is leverage.

Chart Types

shadcn/ui Charts covers the basics well. If you need a bar chart, a line chart, or a pie chart, the examples are polished and easy to copy. But the catalog stops at 6 categories.

MetricUI covers 18 chart types. shadcn/ui Charts covers 6. If you need a Gauge, Funnel, Heatmap, Sankey, Treemap, Waterfall, Bullet, Sparkline, Calendar, Choropleth, or Bump chart, shadcn/ui simply does not have them — and since there is no abstraction to extend, you would be writing raw Recharts (or switching to another library entirely).

The Code You Write

This is where the comparison gets concrete. Below is a standard bar chart in both libraries, rendering the same data with a tooltip and axis labels.

"use client"

import { Bar, BarChart, CartesianGrid, XAxis } from "recharts"
import {
  ChartConfig,
  ChartContainer,
  ChartTooltip,
  ChartTooltipContent,
} from "@/components/ui/chart"

const data = [
  { month: "Jan", revenue: 42000 },
  { month: "Feb", revenue: 45200 },
  { month: "Mar", revenue: 48100 },
  { month: "Apr", revenue: 51800 },
  { month: "May", revenue: 49200 },
  { month: "Jun", revenue: 55400 },
]

const chartConfig = {
  revenue: {
    label: "Revenue",
    color: "hsl(var(--chart-1))",
  },
} satisfies ChartConfig

export function RevenueChart() {
  return (
    <ChartContainer config={chartConfig}
      className="min-h-[200px] w-full">
      <BarChart accessibilityLayer data={data}>
        <CartesianGrid vertical={false} />
        <XAxis
          dataKey="month"
          tickLine={false}
          tickMargin={10}
          axisLine={false}
        />
        <ChartTooltip
          content={<ChartTooltipContent />}
        />
        <Bar
          dataKey="revenue"
          fill="var(--color-revenue)"
          radius={4}
        />
      </BarChart>
    </ChartContainer>
  )
}

import { BarChart } from "@metricui/core"

const data = [
  { month: "Jan", revenue: 42000 },
  { month: "Feb", revenue: 45200 },
  { month: "Mar", revenue: 48100 },
  { month: "Apr", revenue: 51800 },
  { month: "May", revenue: 49200 },
  { month: "Jun", revenue: 55400 },
]

export function RevenueChart() {
  return (
    <BarChart
      data={data}
      index="month"
      categories={["revenue"]}
    />
  )
}

Dashboard Features

shadcn/ui Charts is a chart library. MetricUI is a dashboard framework. The gap is everything that surrounds the chart.

Every row marked “No” or “DIY” in the shadcn column represents code you will write and maintain yourself. Some of these — cross-filtering, drill-down, export — are non-trivial features that take days to build well. MetricUI ships them as props.

Theming

shadcn/ui Charts uses CSS custom properties for chart colors: --chart-1 through --chart-5. This gives you five color slots that you override in your CSS. Layout, typography, spacing, and component styling are all manual.

MetricUI provides 8 built-in theme presets (indigo, emerald, rose, amber, cyan, violet, slate, orange) plus support for fully custom themes. Switching is a single prop on MetricProvider. Themes control colors, surfaces, borders, radii, and typographic treatment consistently across every component — charts, cards, tables, filters, and layout.

Runtime theme switching (for user preferences or multi-tenant dashboards) is built in. With shadcn/ui, you would implement that yourself.

Accessibility

Accessibility in data visualization is hard. Charts are inherently visual, and making them perceivable to screen readers and navigable by keyboard requires deliberate engineering.

An independent accessibility audit of shadcn/ui Charts found WCAG failures across multiple success criteria: SC 1.1.1 (non-text content), SC 1.3.1 (info and relationships), SC 1.4.1 (use of color), and SC 1.4.13 (content on hover or focus). The audit described shadcn's screen reader accessibility claims as “irresponsible.” This does not mean shadcn is careless — accessibility in charts is genuinely difficult, and Recharts itself has limitations.

MetricUI takes a layered approach: ARIA labels on all chart containers, keyboard navigation for interactive elements, prefers-reduced-motion respected for animations, and semantic HTML for data tables and KPI cards. It is not perfect — no chart library is — but accessibility is a first-class concern in the component API, not an afterthought bolted onto copied code.

Comparison Table

When to Choose shadcn/ui Charts

• ✓You are building a marketing site or landing page with 1–2 decorative charts and want full visual control.
• ✓Your team already uses shadcn/ui for the rest of the UI and wants a consistent copy-paste workflow.
• ✓You need deep, line-level customization of Recharts internals and are comfortable maintaining that code.
• ✓You have a strong preference for zero runtime dependencies beyond what you copy into your project.
• ✓Community ecosystem matters — shadcn has a massive pool of examples, tutorials, and third-party integrations.

When to Choose MetricUI

• ✓You are building a dashboard with multiple charts, KPIs, filters, and interactivity — not a single chart on a page.
• ✓Time-to-ship matters. MetricUI gets a polished dashboard live in hours, not weeks.
• ✓You need chart types that shadcn does not offer: Gauge, Funnel, Heatmap, Sankey, Treemap, Waterfall, Bullet, Choropleth, or Calendar.
• ✓You want cross-filtering, drill-down, and export without building them from scratch.
• ✓You want to minimize maintained code. Props over copy-paste means fewer lines, fewer bugs, and automatic upgrades.
• ✓Accessibility is a requirement, not an aspiration. MetricUI bakes it into every component.
• ✓You want AI-assisted dashboard generation via the MCP server or AI Insights for end users.

See It In Action

Same dataset. shadcn/ui builds one chart. MetricUI builds a full dashboard. Download the CSV and try it yourself.

import {
  ChartContainer, ChartTooltip, ChartTooltipContent,
  ChartLegend, ChartLegendContent,
} from "@/components/ui/chart";
import {
  AreaChart, Area, XAxis, YAxis, CartesianGrid,
} from "recharts";

const chartConfig = {
  enterprise: { label: "Enterprise", color: "hsl(239 84% 67%)" },
  startup: { label: "Startup", color: "hsl(258 90% 66%)" },
  smb: { label: "SMB", color: "hsl(263 70% 71%)" },
};

const data = [
  { month: "Jan 2024", enterprise: 38400, startup: 28600, smb: 17200 },
  { month: "Feb 2024", enterprise: 40100, startup: 29200, smb: 18200 },
  { month: "Mar 2024", enterprise: 42300, startup: 30100, smb: 19400 },
  { month: "Apr 2024", enterprise: 40800, startup: 29800, smb: 18800 },
  { month: "May 2024", enterprise: 43600, startup: 30900, smb: 19700 },
  { month: "Jun 2024", enterprise: 45200, startup: 32100, smb: 20800 },
  { month: "Jul 2024", enterprise: 44100, startup: 31800, smb: 20600 },
  { month: "Aug 2024", enterprise: 46800, startup: 33200, smb: 21400 },
  { month: "Sep 2024", enterprise: 49100, startup: 34300, smb: 22400 },
  { month: "Oct 2024", enterprise: 50800, startup: 35400, smb: 23000 },
  { month: "Nov 2024", enterprise: 52900, startup: 36700, smb: 23900 },
  { month: "Dec 2024", enterprise: 59400, startup: 41200, smb: 26850 },
];

export default function RevenueChart() {
  return (
    <ChartContainer config={chartConfig} className="h-[400px] w-full">
      <AreaChart data={data}>
        <CartesianGrid vertical={false} />
        <XAxis dataKey="month" tickLine={false} axisLine={false} />
        <YAxis tickFormatter={(v) => `$${(v / 1000).toFixed(0)}k`} />
        <ChartTooltip content={<ChartTooltipContent />} />
        <ChartLegend content={<ChartLegendContent />} />
        <Area type="monotone" dataKey="enterprise" stackId="1"
          fill="var(--color-enterprise)" stroke="var(--color-enterprise)" />
        <Area type="monotone" dataKey="startup" stackId="1"
          fill="var(--color-startup)" stroke="var(--color-startup)" />
        <Area type="monotone" dataKey="smb" stackId="1"
          fill="var(--color-smb)" stroke="var(--color-smb)" />
      </AreaChart>
    </ChartContainer>
  );
}

import { AreaChart } from "metricui";
import "metricui/styles.css";

const data = [
  { month: "Jan 2024", enterprise: 38400, startup: 28600, smb: 17200 },
  { month: "Feb 2024", enterprise: 40100, startup: 29200, smb: 18200 },
  { month: "Mar 2024", enterprise: 42300, startup: 30100, smb: 19400 },
  { month: "Apr 2024", enterprise: 40800, startup: 29800, smb: 18800 },
  { month: "May 2024", enterprise: 43600, startup: 30900, smb: 19700 },
  { month: "Jun 2024", enterprise: 45200, startup: 32100, smb: 20800 },
  { month: "Jul 2024", enterprise: 44100, startup: 31800, smb: 20600 },
  { month: "Aug 2024", enterprise: 46800, startup: 33200, smb: 21400 },
  { month: "Sep 2024", enterprise: 49100, startup: 34300, smb: 22400 },
  { month: "Oct 2024", enterprise: 50800, startup: 35400, smb: 23000 },
  { month: "Nov 2024", enterprise: 52900, startup: 36700, smb: 23900 },
  { month: "Dec 2024", enterprise: 59400, startup: 41200, smb: 26850 },
];

export default function RevenueChart() {
  return (
    <AreaChart
      data={data}
      index="month"
      categories={["enterprise", "startup", "smb"]}
      title="Revenue by Segment"
      format="currency"
      stacked
    />
  );
}

import {
  Dashboard, DashboardInsight, SectionHeader,
  KpiCard, AreaChart, DonutChart, Waterfall, MetricGrid,
} from "metricui";
import "metricui/styles.css";
import { DollarSign, Users, TrendingDown, BarChart3 } from "lucide-react";

const data = [
  { month: "Jan 2024", revenue: 84200, users: 3120, churn: 4.2, conversions: 186, enterprise: 38400, startup: 28600, smb: 17200 },
  // ... 12 months from the same CSV
  { month: "Dec 2024", revenue: 127450, users: 5120, churn: 2.4, conversions: 342, enterprise: 59400, startup: 41200, smb: 26850 },
];

export default function SaasDashboard() {
  const latest = data[data.length - 1];
  const prev = data[data.length - 2];

  return (
    <Dashboard theme="indigo" exportable
      ai={{ analyze: myLLM, company: "Acme SaaS", context: "2024 metrics" }}>
      <SectionHeader title="Key Metrics"
        description="December 2024 vs November. Click any card to drill down." />
      <MetricGrid>
        <KpiCard title="Revenue" value={latest.revenue} format="currency"
          comparison={{ value: prev.revenue, label: "vs Nov" }}
          sparkline={{ data: data.map(d => d.revenue), type: "bar" }}
          icon={<DollarSign className="h-3.5 w-3.5" />}
          description="Monthly recurring revenue across all segments." drillDown />
        <KpiCard title="Active Users" value={latest.users} format="number"
          comparison={{ value: prev.users, label: "vs Nov" }}
          sparkline={{ data: data.map(d => d.users) }}
          icon={<Users className="h-3.5 w-3.5" />}
          description="Unique active users this month." drillDown />
        <KpiCard title="Churn Rate" value={latest.churn} format="percent"
          comparison={{ value: prev.churn, invertTrend: true, label: "vs Nov" }}
          sparkline={{ data: data.map(d => d.churn) }}
          icon={<TrendingDown className="h-3.5 w-3.5" />}
          description="Monthly churn rate. Lower is better."
          conditions={[{ when: "below", value: 3, color: "emerald" },
            { when: "between", min: 3, max: 4, color: "amber" },
            { when: "above", value: 4, color: "red" }]} drillDown />
        <KpiCard title="Conversions" value={latest.conversions} format="number"
          comparison={{ value: prev.conversions, label: "vs Nov" }}
          sparkline={{ data: data.map(d => d.conversions), type: "bar" }}
          icon={<BarChart3 className="h-3.5 w-3.5" />}
          description="New paid signups this month." drillDown />
      </MetricGrid>
      <SectionHeader title="Revenue Breakdown"
        description="Click any chart to drill down into the data." />
      <MetricGrid>
        <AreaChart data={data} index="month" categories={["enterprise", "startup", "smb"]}
          title="Revenue by Segment"
          subtitle="Stacked monthly revenue across Enterprise, Startup, and SMB"
          format="currency" stacked drillDown />
        <DonutChart data={[
          { id: "enterprise", label: "Enterprise", value: latest.enterprise },
          { id: "startup", label: "Startup", value: latest.startup },
          { id: "smb", label: "SMB", value: latest.smb },
        ]} title="Dec 2024 Mix" subtitle="Click a slice to drill into segment details"
          format="currency" drillDown />
      </MetricGrid>
      <Waterfall data={data.map((d, i) => ({
        label: d.month.split(" ")[0],
        value: i === 0 ? d.revenue : d.revenue - data[i - 1].revenue,
      }))} title="Month-over-Month Revenue Change"
        subtitle="Positive and negative swings with running totals"
        format="currency" drillDown />
      <DashboardInsight />
    </Dashboard>
  );
}

The Bottom Line

shadcn/ui is a philosophy: own your code, compose from primitives, never be locked in. It is a genuinely great approach for general UI work, and its cultural impact on the React ecosystem is undeniable. For charts on a marketing page or a blog, it works.

MetricUI is a product: ship your dashboard, configure through props, move on to the next problem. It exists because dashboards are not a composition of isolated charts — they are interconnected systems of data, filters, interactions, and layout. Building that system from copied Recharts snippets is possible. It is also slow, fragile, and expensive to maintain.

The question is not which library is better. It is what you are building. If the answer is “a dashboard,” MetricUI was purpose-built for that. If the answer is “a website that happens to have a chart,” shadcn might be all you need.