# mher/flower

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

Repository: https://github.com/mher/flower
Canonical: https://ross.abutalabs.com/products/flower
Homepage: https://flower.readthedocs.io
Language: Python
License: NOASSERTION
License Family: other
Topics: celery, task-queue, monitoring, administration, workers, rabbitmq, redis, python, asynchronous
Last push: 2026-08-16T08:13:55+00:00

## Health v2 (maintenance only)
Score: 87/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 66, longevity 100
- inputs: {"age_days": 5169, "days_push": 17, "days_rel": 17, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7235, forks 1155 (observed 2026-08-28T04:09:57.705868+00:00)

## What it is
Flower is an open-source web application for monitoring and managing Celery clusters in real time. It provides a dashboard for task and worker status, remote control of workers, broker statistics, authentication, Prometheus metrics, and a REST API.

## Use cases
- monitor celery workers and tasks in real time
- view task progress, history, and details like arguments and runtime
- restart or shut down celery workers from a web UI
- revoke or terminate running celery tasks
- inspect and manage queues a worker consumes from
- export celery metrics to prometheus
- manage celery cluster via a REST API
- apply rate limits and time limits to tasks

## When to choose
- you run Celery and need a real-time dashboard for tasks and workers
- you want remote control of workers (pool size, queues, shutdown) without SSH
- you need Prometheus metrics for your Celery cluster
- you want programmatic cluster management through a REST API

## When to avoid
- you don't use Celery or a compatible task queue
- you need full APM/tracing beyond Celery events
- you require a managed SaaS monitoring solution with alerting built in

## Facets
- artifact type: application
- maturity: active
- function: monitoring, web-framework, api-framework, logging
- domain: monitoring, developer-tools, microservices
- platform: python, self-hosted
- tags: celery, task-queue, worker-monitoring, prometheus, rest-api, rabbitmq, redis, devops, web-server, docker

## Member repositories
- mher/flower (main) score 87

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:57.705868+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:39:45.914524+00:00, confidence not recorded.
  - readme: https://github.com/mher/flower (fetched 2026-08-28T04:09:57.705868+00:00, sha 8f68cf144944)
  - registry_pypi: https://pypi.org/pypi/flower/json (fetched 2026-08-29T08:35:04.191811+00:00, sha d688669051d3)
- Data as of 2026-08-30T08:39:29.467469+00:00.
