Report card

Do AI agents pick BullMQ?

How often agents choose BullMQ when a developer needs background jobs & queues — measured across Claude, GPT, Gemini.

BullMQ

#1 of 5 queues
17%Pick Rate
95% CI 12%24%

When developers ask an AI agent for queues, BullMQ is picked 17% of the time — ranking #1 of 5 measured across Claude, GPT, Gemini.

Picked 17% Named, not picked 10% Never surfaced 73%

Top pick in the category. 🟢

Awareness

6.6M package downloads / week

Strong presence, and agents pick you.

0 docs in FineWeb (10BT sample) · 4 URLs in Common Crawl

In the raw web crawl, but thin in the filtered corpus models actually train on — an awareness gap at the source.

AdoptionDid the pick convert to installs? Public Adoption = npm downloads of your packages. The proof half of the funnel.

24.0M installs / month ▲ 5% MoM

Picks are converting — installs are climbing alongside a healthy Pick Rate.

Get the full report

The per-model and per-surface breakdown for BullMQ — where it wins, where it loses, and to whom — plus an alert when the Pick Rate moves.

About BullMQ

A Redis-backed distributed job and message queue system for Node.js and other languages.

BullMQ is a queue library built on Redis that handles background job processing, message passing, and task scheduling across distributed systems. It supports Node.js, Python, Rust, Elixir, and PHP, making it usable across different parts of a stack. It's aimed at developers who need reliable, atomic job execution with features like delayed jobs, retries, and worker concurrency.

Where to start

Install the package for your language (npm, pip, cargo, etc.) and connect it to a Redis instance to start defining queues and workers. The official documentation at docs.bullmq.io covers core concepts like producers, workers, and job lifecycle.

Install

Links and summary verified from public sources.

The rest of the Background Jobs & Queues ranking

← Full Background Jobs & Queues leaderboard · How this is measured