Flower

Flower is a web application, released as open source, that monitors and administers Celery clusters. It shows live information on the state of Celery workers and tasks, so teams running background job queues can see what is executing, queued or failing.

Its documentation covers installation, configuration through command line, config file or environment variables, task filtering and several authentication methods: HTTP Basic, Google OAuth, GitHub OAuth, Okta OAuth, GitLab OAuth and custom providers. It can run behind a reverse proxy, and an integration exposes Prometheus metrics with example alerts and a Grafana dashboard. Brokers such as RabbitMQ and Redis are supported, as the project topics show.

Flower is written in Python and is licensed under the BSD 3-Clause licence according to its documentation, while the repository lists the license as Other. It is run as an additional process alongside your Celery workers. It suits Python teams that use Celery and want visibility and basic control over their distributed task queue.