New Project

Deploy Python Celery workers using Vercel Queues.
This example shows how to use Celery with Vercel Queues and Redis on Vercel with Serverless Functions using the Python Runtime.
https://vercel-plus-celery.labs.vercel.dev/
Celery uses a custom Vercel Queues broker to run tasks in a dedicated worker service. On Vercel, projects containing a Python worker service automatically set CELERY_BROKER_URL to vercel://, so Celery runs on top of Vercel Queues out of the box. Job status and results are stored in Redis, and a FastAPI dashboard lets you queue jobs, watch progress, and inspect results.
npm i -g vercelvercel dev
Your Celery application is now available at http://localhost:3000.
Deploy the example using Vercel: