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rq-dashboard-fast is a FastAPI-based dashboard to monitor your Redis-Queue (RQ) Jobs, Queues, and Workers
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
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
PyPi: rq-dashboard-fast
$ pip install rq-dashboard-fast
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.
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: rq-dashboard-fast
$ pip install rq-dashboard-fast
If you want to contribute, reach out or create a PR directly.
FAQs
rq-dashboard-fast is a FastAPI-based dashboard to monitor your Redis-Queue (RQ) Jobs, Queues, and Workers
We found that rq-dashboard-fast demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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