Awesome

RQ Dashboard FastAPI <span>🛠</span>

<br /> <br /> RQ Dashboard FastAPI is a general purpose, lightweight FastAPI-based web frontend to monitor your RQ queues, jobs, and workers in real-time. Goal of this package is to ease integration into FastAPI-Applications and provide a Docker Image for convenience.

Featured in Related Projects Redis Queue Docs

Example Usage

from fastapi import FastAPI
from rq_dashboard_fast import RedisQueueDashboard
import uvicorn

app = FastAPI()
dashboard = RedisQueueDashboard(“redis://redis:6379/”, "/rq")

app.mount(“/rq”, dashboard)

if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000)

Access the Dashboard at

http://127.0.0.1:8000/rq

Installing from PyPi

PyPi: rq-dashboard-fast

$ pip install rq-dashboard-fast

Running in Docker

1. You can run the RQ Dashboard FastAPI as a Docker container with custom Redis URL:

docker run -e REDIS_URL=<your_redis_url> hannes221/rq-dashboard-fast

Access the Dashboard at

http://127.0.0.1:8000/rq

To change change the port, you can specify the following flag:

docker run -e REDIS_URL=<your_redis_url>  -e FASTAPI_PORT=<your_fastapi_port> hannes221/rq-dashboard-fast

Replace <your_fastapi_port> with your desired FastAPI and host port.

2. You can use Docker Compose by creating a docker-compose.yml file:

version: '3.11'
services:
  dashboard:
    image: hannes221/rq-dashboard-fast
    ports:
      - '8000:8000'
    environment:
      - REDIS_URL=<your_redis_url>

Then run:

docker compose up

Access the Dashboard at

http://127.0.0.1:8000/rq

To change the part update the compose file:

version: '3.11'
services:
  dashboard:
    image: hannes221/rq-dashboard-fast
    ports:
      - '<your_fastapi_port>:<your_fastapi_port>'
    environment:
      - REDIS_URL=<your_redis_url>
      - FASTAPI_PORT=<your_fastapi_port>

Replace <your_fastapi_port> with your desired FastAPI and host port.

Docker Hub: hannes221/rq-dashboard-fast

Github Repository

Github: rq-dashboard-fast

$ pip install rq-dashboard-fast

Planned Features

• Data from rq-scheduler
• More data about workers
• Docker Image
• Add pagination to jobs page
• Data Export
• Statistics Tab
• Run Standalone (Terminal)

Contributing

If you want to contribute, reach out or create a PR directly.