mher/flower

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

7235 stars · 1155 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

application · maturity active

monitoring web-framework api-framework logging monitoring developer-tools microservices python self-hosted celery task-queue worker-monitoring prometheus rest-api rabbitmq redis devops web-server docker

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markdown · JSON · MCP: product_card(name="mher/flower")