The fastest, most reliable, Redis-based distributed queue for Node.js, Python, Elixir, .NET, Rust, PHP, and more.
Carefully written for rock solid stability and atomicity.

Read the documentation

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🛠 Tutorials

You can find tutorials and news in this blog: https://blog.taskforce.sh/

News 🚀

🌐 Language agnostic BullMQ

BullMQ is available natively in multiple languages:

• Node.js / Bun — This repository (npm install bullmq)
• Python — python/ directory (pip install bullmq)
• Rust — rust/ directory (cargo add bullmq-official --rename bullmq)
• Elixir — elixir/ directory ({:bullmq, "~> x.x"})
• .Net — dotnet/ directory (dotnet add package BullMQ)
• PHP — php/ directory

For other platforms, check out the BullMQ Proxy.

Official FrontEnd

Supercharge your queues with a professional front end:

• Get a complete overview of all your queues.
• Inspect jobs, search, retry, or promote delayed jobs.
• Metrics and statistics.
• and many more features.

Sign up at Taskforce.sh

🚀 Sponsors 🚀

Dragonfly is a new Redis™ drop-in replacement that is fully compatible with BullMQ and brings some important advantages over Redis™ such as massive better performance by utilizing all CPU cores available and faster and more memory efficient data structures. Read more here on how to use it with BullMQ.

Used by

Some notable organizations using BullMQ:

The gist

Install:

$ yarn add bullmq

If you use the node-redis adapter (createNodeRedisClient), install redis v5 or newer (redis >= 5.0.0).

If you use the Valkey Glide adapter (createValkeyGlideClient), install @valkey/valkey-glide.

Add jobs to the queue:

import { Queue } from 'bullmq';

const queue = new Queue('Paint');

queue.add('cars', { color: 'blue' });

Process the jobs in your workers:

import { Worker } from 'bullmq';

const worker = new Worker('Paint', async job => {
  if (job.name === 'cars') {
    await paintCar(job.data.color);
  }
});

Listen to jobs for completion:

import { QueueEvents } from 'bullmq';

const queueEvents = new QueueEvents('Paint');

queueEvents.on('completed', ({ jobId }) => {
  console.log('done painting');
});

queueEvents.on(
  'failed',
  ({ jobId, failedReason }: { jobId: string; failedReason: string }) => {
    console.error('error painting', failedReason);
  },
);

Adds jobs with parent-child relationship:

import { FlowProducer } from 'bullmq';

const flow = new FlowProducer();

const originalTree = await flow.add({
  name: 'root-job',
  queueName: 'topQueueName',
  data: {},
  children: [
    {
      name: 'child-job',
      data: { idx: 0, foo: 'bar' },
      queueName: 'childrenQueueName',
      children: [
        {
          name: 'grandchild-job',
          data: { idx: 1, foo: 'bah' },
          queueName: 'grandChildrenQueueName',
        },
        {
          name: 'grandchild-job',
          data: { idx: 2, foo: 'baz' },
          queueName: 'grandChildrenQueueName',
        },
      ],
    },
    {
      name: 'child-job',
      data: { idx: 3, foo: 'foo' },
      queueName: 'childrenQueueName',
    },
  ],
});

This is just scratching the surface, check all the features and more in the official documentation

Feature Comparison

Since there are a few job queue solutions, here is a table comparing them:

Contributing

Fork the repo, make some changes, submit a pull-request! Here is the contributing doc that has more details.

Thanks

Thanks for all the contributors that made this library possible, also a special mention to Leon van Kammen that kindly donated his npm bullmq repo.