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BullMQ vs Celery
Trust Score comparison · March 2026
Signal Comparison
1.8M/wkWeekly npm downloads7.2M / mo
180GitHub commits (90d)28 commits
6kGitHub stars24k ★
4kStack Overflow questions31k q's
ActiveCommunity healthMedium
BullMQCelery
Key Differences
| Factor | BullMQ | Celery |
|---|---|---|
| License | MIT | BSD |
| Language | TypeScript / JavaScript | Python |
| Hosted | Self-hosted | Self-hosted |
| Free tier | ✓ Yes | — |
| Open Source | ✓ Yes | ✓ Yes |
| TypeScript | ✓ | — |
Pick BullMQ if…
- Background job processing in Node.js (email sending, PDF generation)
- You need reliable job queues with retries and dead-letter queues
- Already using Redis — BullMQ is zero-infra-overhead
Pick Celery if…
- You need to run background tasks in Python (sending emails, processing files)
- You need scheduled / cron-style tasks in a Python app
- You're already using Django or Flask and need async job processing
Side-by-side Quick Start
BullMQ
import { Queue, Worker } from 'bullmq';
import { Redis } from 'ioredis';
const connection = new Redis({ maxRetriesPerRequest: null });
// Producer: add jobs to the queue
const emailQueue = new Queue('emails', { connection });
await emailQueue.add('welcome', { to: 'alice@example.com', name: 'Alice' });
// Consumer: process jobs
const worker = new Worker('emails', async (job) => {
console.log(`Sending email to ${job.data.to}`);
await sendEmail(job.data);
}, { connection });Celery
from celery import Celery
app = Celery('tasks', broker='redis://localhost:6379/0')
@app.task
def send_welcome_email(user_id: int):
user = User.objects.get(id=user_id)
email_service.send_welcome(user.email)
@app.task
def process_upload(file_path: str):
result = run_etl_pipeline(file_path)
return result
# Trigger from your view:
send_welcome_email.delay(user.id)
# Run worker:
# celery -A tasks worker --loglevel=infoCommunity Verdict
Based on upvoted notes🏆
Celery wins this comparison
Trust Score 87 vs 83 · 4-point difference
Celery leads on Trust Score with stronger signal data across downloads and community health. That said, the other tool is worth considering if your use case matches its specific strengths above.