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A modern UI for monitoring Celery workers and tasks

Project description

celery-bloom

CI codecov PyPI version Python versions PyPI downloads License: MIT

A modern, real-time monitoring UI for Celery — a drop-in replacement for Celery Flower with a clean dark UI, WebSocket-powered live updates, and rich task inspection.

Dashboard

Features

  • Real-time task stream via WebSocket (no page refresh needed)
  • Task search and filtering by state
  • Rich task detail drawer — args, kwargs, result, traceback
  • Worker view with active, reserved, and registered tasks
  • Revoke / terminate running tasks from the UI
  • Trigger any registered task from the UI with custom args/kwargs
  • Execution trace view — visualise chains and groups as a live DAG
  • Single uv tool install — no Node.js required at runtime

Screenshots

Tasks

Tasks

Workers

Workers

Trigger Task

Trigger Task

Quick start

uv tool install celery-bloom
celery-bloom --broker redis://localhost:6379/0

Open http://localhost:5556.

Options

celery-bloom --help

  --broker          Celery broker URL        (default: redis://localhost:6379/0)
  --result-backend  Result backend URL       (optional)
  --host            Bind host                (default: 0.0.0.0)
  --port            Port                     (default: 5556)
  --log-level       Log level                (default: info)

Try it with Docker

Spin up Redis, a Celery worker, beat scheduler, and celery-bloom in one command:

# Build the frontend first (one-time)
make ui-install && make ui-build

# Start everything
docker compose up

# In another terminal, send some example tasks
docker compose exec worker uv run python example/seed.py --count 30

Open http://localhost:5556 and watch tasks flow in live.

The example app (example/tasks.py) includes:

  • tasks.add — quick arithmetic, random delay
  • tasks.slow_job — long-running task with progress updates
  • tasks.flaky — randomly fails and retries
  • tasks.process_batch — batch processing
  • tasks.health_check — runs every 30s via beat

Development

# Install Python deps
uv sync

# Install and run frontend dev server (hot reload on :5173, proxies API to :5556)
make ui-install
make ui-dev

# In another terminal
uv run celery-bloom --broker redis://localhost:6379/0

# Production build — bundles frontend into celery_bloom/static/
make ui-build

# Lint + type check
make lint

Tech stack

Layer Tech
Backend FastAPI + uvicorn + Celery events
Frontend React 18 + TypeScript + Vite
Styling Tailwind CSS
Charts Recharts
Graph React Flow (@xyflow/react) + dagre
Data TanStack Query + WebSocket

License

MIT

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