Skip to main content

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.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flower-new-0.8.0.tar.gz (1.2 MB view hashes)

Uploaded source

Built Distributions

flower_new-0.8.0-py2.py3-none-any.whl (321.4 kB view hashes)

Uploaded 2 7

flower_new-0.8.0-py2-none-any.whl (321.4 kB view hashes)

Uploaded 2 7

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page