@queuedash/ui
A stunning, sleek dashboard for Bull, BullMQ, Bee-Queue, and GroupMQ.
Features
- Simple, clean, and compact UI
- Add jobs to your queue with ease
- Retry, remove, and more convenient actions for your jobs
- Stats for job counts, job durations, and job wait times
- Top-level overview page of all queues
- Integrates with Next.js, Express.js, and Fastify
- ️ Compatible with Bull, BullMQ, Bee-Queue, and GroupMQ
- Job scheduler support
- Metrics for queue performance
Getting Started
Express
pnpm install @queuedash/api
import express from "express";
import Bull from "bull";
import { createQueueDashExpressMiddleware } from "@queuedash/api";
const app = express();
const reportQueue = new Bull("report-queue");
app.use(
"/queuedash",
createQueueDashExpressMiddleware({
ctx: {
queues: [
{
queue: reportQueue,
displayName: "Reports",
type: "bull" as const,
},
],
},
}),
);
app.listen(3000, () => {
console.log("Listening on port 3000");
console.log("Visit http://localhost:3000/queuedash");
});
Next.js
pnpm install @queuedash/api @queuedash/ui
App Router
// app/admin/queuedash/[[...slug]]/page.tsx
"use client";
import { QueueDashApp } from "@queuedash/ui";
import "@queuedash/ui/dist/styles.css";
function getBaseUrl() {
if (process.env.VERCEL_URL) {
return `https://${process.env.VERCEL_URL}/api/queuedash`;
}
return `http://localhost:${process.env.PORT ?? 3000}/api/queuedash`;
}
export default function QueueDashPages() {
return <QueueDashApp apiUrl={getBaseUrl()} basename="/admin/queuedash" />;
}
// app/api/queuedash/[...trpc]/route.ts
import { fetchRequestHandler } from "@trpc/server/adapters/fetch";
import { appRouter } from "@queuedash/api";
const reportQueue = new Bull("report-queue");
function handler(req: Request) {
return fetchRequestHandler({
endpoint: "/api/queuedash",
req,
router: appRouter,
allowBatching: true,
createContext: () => ({
queues: [
{
queue: reportQueue,
displayName: "Reports",
type: "bull" as const,
},
],
});
}
export { handler as GET, handler as POST };
Pages Router
// pages/admin/queuedash/[[...slug]].tsx
import { QueueDashApp } from "@queuedash/ui";
function getBaseUrl() {
if (process.env.VERCEL_URL) {
return `https://${process.env.VERCEL_URL}/api/queuedash`;
}
return `http://localhost:${process.env.PORT ?? 3000}/api/queuedash`;
}
const QueueDashPages = () => {
return <QueueDashApp apiUrl={getBaseUrl()} basename="/admin/queuedash" />;
};
export default QueueDashPages;
// pages/api/queuedash/[trpc].ts
import * as trpcNext from "@trpc/server/adapters/next";
import { appRouter } from "@queuedash/api";
const reportQueue = new Bull("report-queue");
export default trpcNext.createNextApiHandler({
router: appRouter,
batching: {
enabled: true,
},
createContext: () => ({
queues: [
{
queue: reportQueue,
displayName: "Reports",
type: "bull" as const,
},
],
}),
});
Optional authentication
The Express, Fastify, Hono, and Elysia adapters support optional HTTP Basic authentication. When configured, it protects both the dashboard UI and its tRPC API. Existing integrations remain public when auth is omitted.
createQueueDashExpressMiddleware({
auth: {
username: process.env.QUEUEDASH_AUTH_USERNAME!,
password: process.env.QUEUEDASH_AUTH_PASSWORD!,
},
ctx: {
queues: [
{
queue: reportQueue,
displayName: "Reports",
type: "bull",
},
],
},
});
Use HTTPS whenever Basic authentication is enabled. For application-specific sessions, roles, or OAuth, keep using your framework's authentication middleware around the QueueDash routes. Direct @queuedash/ui integrations can pass request credentials through the headers prop.
Docker
The fastest way to get started is using the official Docker image:
docker run -p 3000:3000 \
-e QUEUEDASH_AUTH_USERNAME='admin' \
-e QUEUEDASH_AUTH_PASSWORD='change-me' \
-e QUEUES_CONFIG_JSON='{"queues":[{"name":"my-queue","displayName":"My Queue","type":"bullmq","connectionUrl":"redis://localhost:6379"}]}' \
ghcr.io/alexbudure/queuedash:latest
Then visit http://localhost:3000
Environment Variables
QUEUES_CONFIG_JSON- Optional ifQUEUES_CONFIG_FILE_PATHis set. JSON string containing queue configuration.QUEUES_CONFIG_FILE_PATH- Optional ifQUEUES_CONFIG_JSONis set. Path to a JSON file containing queue configuration.QUEUEDASH_AUTH_USERNAME- Optional. Username for HTTP Basic authentication. Must be set withQUEUEDASH_AUTH_PASSWORD.QUEUEDASH_AUTH_PASSWORD- Optional. Password for HTTP Basic authentication. Must be set withQUEUEDASH_AUTH_USERNAME.
Example configuration:
{
"queues": [
{
"name": "cancellation-follow-ups",
"displayName": "Cancellation follow-ups",
"type": "bullmq",
"connectionUrl": "redis://localhost:6379"
},
{
"name": "clustered-reports",
"displayName": "Clustered Reports",
"type": "bullmq",
"clusterNodes": [
{ "host": "redis-cluster-0", "port": 6379 },
{ "host": "redis-cluster-1", "port": 6379 },
{ "host": "redis-cluster-2", "port": 6379 }
]
},
{
"name": "email-queue",
"displayName": "Email Queue",
"type": "bull",
"connectionUrl": "redis://localhost:6379"
}
]
}
For bullmq queues, provide either connectionUrl (single-node Redis) or clusterNodes (Redis Cluster). clusterNodes is not supported for bull or bee.
Supported queue types: bull, bullmq, bee, groupmq
See the ./examples folder for more.
API Reference
createQueueDash<*>Middleware
type QueueDashMiddlewareOptions = {
ctx: QueueDashContext; // Context for the UI
auth?: QueueDashAuthOptions; // Optional HTTP Basic authentication
baseUrl?: string; // Required by Fastify, Hono, and Elysia
};
type QueueDashAuthOptions = {
username: string;
password: string;
};
type QueueDashContext = {
queues: QueueDashQueue[]; // Array of queues to display
};
type QueueDashQueue = {
queue: Bull.Queue | BullMQ.Queue | BeeQueue; // Queue instance
displayName: string; // Display name for the queue
type: "bull" | "bullmq" | "bee" | "groupmq"; // Queue type
};
<QueueDashApp />
type QueueDashAppProps = {
apiUrl: string; // URL to the API endpoint
basename: string; // Base path for the app
headers?:
| Record<string, string>
| (() => Record<string, string> | Promise<Record<string, string>>); // Optional tRPC request headers
};
Need more?
If you need more capabilities, check out queuedash.com:
- Alerts and notifications
- Quick search and filtering
- Queue trends and analytics
- Invite team members
Acknowledgements
QueueDash was inspired by some great open source projects. Here's a few of them: