Tools
flower
mher/flower
Flower is a real-time web monitor and admin for Celery clusters, showing worker and task status, enabling remote control, rate limits and HTTP API operations.
Topics
Related projects
rq10.7kRQ is a lightweight Python job queue backed by Redis or Valkey, with background workers, delayed and scheduled jobs, retries, rate limits, and webhooks for web applications.
fastapi-celery663A minimal example wiring FastAPI to Celery with RabbitMQ as broker, Redis as backend, and Flower for monitoring, useful as a reference for adding background tasks.
playlistor678A small web app that transfers playlists between Apple Music and Spotify, self-hosted with Docker and a few API keys, letting users convert playlists after signing in.
celery-exporter567A Prometheus exporter for Celery that wraps Celery's real-time monitoring events to expose task, worker and queue metrics, with Grafana dashboards and alerting rules.
huey6.1kHuey is a lightweight Python task queue supporting Redis, Postgres, SQLite and other storage backends, with scheduling, retries, priorities, pipelines, chains and chords.- django-rq2kDjango-RQ integrates the RQ Redis queue with Django, letting you configure queues in settings and easily enqueue, schedule and monitor background jobs from your project.