proDashboard · Next.js + Tailwind
Gradient Yard
A dashboard for machine learning operations: training runs with loss curves, side-by-side run comparison, a model registry with stage promotion and GPU usage across pools.
loopkitui.com/t/mlops-runsscroll inside ↓
Built from
- Dash kit (shell, charts, tables)in the zip
For: ML engineers and platform teams who train and ship their own models.
prompt
You are building a complete dashboard app screen with Loopkit: the "Gradient Yard" template.
Goal: A dashboard for machine learning operations: training runs with loss curves, side-by-side run comparison, a model registry with stage promotion and GPU usage across pools.
Audience: ML engineers and platform teams who train and ship their own models.
Stack: Next.js App Router, TypeScript, Tailwind CSS v4, framer-motion. Colour tokens are shadcn's plus Loopkit's --signal, --ok, --warn, --info (see https://loopkitui.com/docs/theming). Light theme by default, dark via the .dark class.
1. Install the Loopkit components this page uses:
npx shadcn@latest add https://loopkitui.com/r/dash-kit.json # dash-kit
2. Create app/page.tsx with the source below. Keep the section order and the copy structure; replace the product name, copy and links with mine.
3. Check it at 360, 768, 1440 and 2560 px wide, in light and dark, with reduced motion on and off. The console must be clean.
Page source:
```tsx
"use client";
import * as React from "react";
import {
DashShell,
Panel,
Kpi,
AreaChart,
BarChart,
DataTable,
Pill,The full page is in Pro.
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