flower

Real-time monitor and web admin for Celery distributed task queue

Latest version: 2.0.1 registry icon
Maintenance score
50
Safety score
94
Popularity score
100
Check your open source dependency risks. Get immediate insight about security, stability and licensing risks.
Security
  Vulnerabilities
Version Suggest Low Medium High Critical
2.0.1 0 0 0 0 0
2.0.0 0 0 0 0 0
1.2.0 0 0 0 0 0
1.1.0 0 0 0 1 0
1.0.0 0 0 2 1 0
0.9.7 0 0 0 1 0
0.9.5 0 0 0 1 0
0.9.4 0 0 0 1 0
0.9.3 0 0 0 1 0
0.9.2 0 0 0 1 0
0.9.1 0 0 0 1 0
0.9.0 0 0 0 1 0
0.8.4 0 0 0 1 0
0.8.3 0 0 0 1 0
0.8.2 0 0 0 1 0
0.8.1 0 0 0 1 0
0.8.0 0 0 0 1 0
0.7.3 0 0 0 1 0
0.7.2 0 0 0 1 0
0.7.1 0 0 0 1 0
0.7.0 0 0 0 1 0
0.6.0 0 0 0 1 0
0.5.2 0 0 0 1 0
0.5.1 0 0 0 1 0
0.5.0 0 0 0 1 0
0.4.3 0 0 0 1 0
0.4.2 0 0 0 1 0
0.4.0 0 0 0 1 0
0.3.1 0 0 0 1 0
0.3.0 0 0 0 1 0
0.2.0 0 0 0 1 0
0.1.0 0 0 0 1 0

Stability
Latest release:

2.0.1 - This version is safe to use because it has no known security vulnerabilities at this time. Find out if your coding project uses this component and get notified of any reported security vulnerabilities with Meterian-X Open Source Security Platform

Licensing

Maintain your licence declarations and avoid unwanted licences to protect your IP the way you intended.

BSD   -   BSD License (Generic)

Is a wildcard

Not proprietary

OSI Compliant



Flower

.. image:: https://img.shields.io/pypi/dm/flower.svg :target: https://pypistats.org/packages/flower :alt: PyPI - Downloads .. image:: https://img.shields.io/docker/pulls/mher/flower.svg :target: https://hub.docker.com/r/mher/flower :alt: Docker Pulls .. image:: https://github.com/mher/flower/workflows/Build/badge.svg :target: https://github.com/mher/flower/actions .. image:: https://img.shields.io/pypi/v/flower.svg :target: https://pypi.python.org/pypi/flower

Flower is an open-source web application for monitoring and managing Celery clusters. It provides real-time information about the status of Celery workers and tasks.

Features

  • Real-time monitoring using Celery Events
    • View task progress and history
    • View task details (arguments, start time, runtime, and more)
  • 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
    • Revoke or terminate tasks
  • Broker monitoring
    • View statistics for all Celery queues
  • HTTP Basic Auth, Google, Github, Gitlab and Okta OAuth
  • Prometheus integration
  • API

Installation

Installing flower with pip <http://www.pip-installer.org/>_ is simple ::

$ pip install flower

The development version can be installed from Github ::

$ pip install https://github.com/mher/flower/zipball/master#egg=flower

Usage

To run Flower, you need to provide the broker URL ::

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

Or use the configuration of celery application <https://docs.celeryq.dev/en/stable/userguide/application.html>_ ::

$ celery -A tasks.app flower

By default, flower runs on port 5555, which can be modified with the port option ::

$ celery -A tasks.app flower --port=5001

You can also run Flower using the docker image ::

$ docker run -v examples:/data -p 5555:5555 mher/flower celery --app=tasks.app flower

In this example, Flower is using the tasks.app defined in the examples/tasks.py <https://github.com/mher/flower/blob/master/examples/tasks.py>_ file

API

Flower API enables to manage the cluster via HTTP REST API.

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

For more info checkout API Reference_

.. _API Reference: https://flower.readthedocs.io/en/latest/api.html

Documentation

Documentation is available at Read the Docs_

.. _Read the Docs: https://flower.readthedocs.io

License

Flower is licensed under BSD 3-Clause License. See the License_ file for the full license text.

.. _License: https://github.com/mher/flower/blob/master/LICENSE