Source: flower Maintainer: Benjamin Drung Section: python Priority: optional Build-Depends: debhelper (>= 9), dh-python, libjs-d3, libjs-jquery, libjs-jquery-ui, libjs-rickshaw, libjs-twitter-bootstrap, python-all (>= 2.6.6-3~), python-babel, python-celery, python-concurrent.futures, python-mock, python-setuptools (>= 0.6b3), python-sphinx, python-sphinxcontrib-httpdomain, python-tornado, python3-all, python3-doc, python3-setuptools X-Python-Version: >= 2.6 Standards-Version: 3.9.8 Homepage: https://github.com/mher/flower Vcs-Browser: https://anonscm.debian.org/cgit/collab-maint/flower.git Vcs-Git: https://anonscm.debian.org/git/collab-maint/flower.git Package: python-flower Architecture: all Depends: libjs-d3, libjs-jquery, libjs-jquery-ui, libjs-rickshaw, libjs-twitter-bootstrap, ${misc:Depends}, ${python:Depends} Description: web based tool for monitoring and administrating Celery clusters Flower is a web based tool for monitoring and administrating Celery clusters. It has these features: * 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 * HTTP API * Basic Auth and Google OpenID authentication