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Celery Flower

Project Description

Flower is a web based tool for monitoring and administrating Celery clusters.


  • Real-time monitoring using Celery Events

    • Task progress and history
    • Ability to show task details (arguments, start time, runtime, and more)
    • Graphs and statistics
  • Remote Control

    • View worker status and statistics
    • Shutdown and restart worker instances
    • Control worker pool size and autoscale settings
    • View and modify the queues a worker instance consumes from
    • View currently running tasks
    • View scheduled tasks (ETA/countdown)
    • View reserved and revoked tasks
    • Apply time and rate limits
    • Configuration viewer
    • Revoke or terminate tasks
  • Broker monitoring

    • View statistics for all Celery queues
    • Queue length graphs

  • Basic Auth and Google OpenID authentication


Flower API enables to manage the cluster via REST API, call tasks and receive task events in real-time via WebSockets.

For example you can restart worker’s pool by:

$ curl -X POST http://localhost:5555/api/worker/pool/restart/myworker

Or call a task by:

$ curl -X POST -d '{"args":[1,2]}' http://localhost:5555/api/task/async-apply/tasks.add

Or terminate executing task by:

$ curl -X POST -d 'terminate=True' http://localhost:5555/api/task/revoke/8a4da87b-e12b-4547-b89a-e92e4d1f8efd

Or receive task completion events in real-time:

var ws = new WebSocket('ws://localhost:5555/api/task/events/task-succeeded/');
ws.onmessage = function (event) {

For more info checkout API Reference and examples.


To install, simply:

$ pip install flower


Launch the server and open http://localhost:5555:

$ flower --port=5555

Or launch from celery:

$ celery flower -A proj --address= --port=5555

Broker URL and other configuration options can be passed through the standard Celery options:

$ celery flower -A proj --broker=amqp://guest:guest@localhost:5672//


Documentation is available at Read the Docs and IPython Notebook Viewer


More screenshots

Getting help

Please head over to #celery IRC channel on or open an issue.


If you’d like to contribute, simply fork the repository, commit your changes, run the tests (python -m tests) and send a pull request. Make sure you add yourself to AUTHORS.

Release History

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