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Show HN: Django Control Room – All Your Tools Inside the Django Admin

https://github.com/yassi/dj-control-room
55•yassi_dev•3h ago
Over the past year I’ve been building a set of operational panels for Django:

- Redis inspection - cache visibility - Celery task introspection - URL discovery and testing

All of these tools have been built inside the Django admin.

Instead of jumping between tools like Flower, redis-cli, Swagger, or external services, I wanted something that sits where I’m already working.

I’ve grouped these under a single umbrella: Django Control Room.

The idea is pretty simple: the Django admin already gives you authentication, permissions, and a familiar interface. It can also act as an operational layer for your app.

Each panel is just a small Django app with a simple interface, so it’s easy to build your own and plug it in.

I’m working on more panels (signals, errors, etc.) and also thinking about how far this pattern can go.

Curious how others think about this. Does it make sense to consolidate this kind of tooling inside the admin, or do you prefer keeping it separate?

Comments

yassi_dev•2h ago
I've built an official website for this project here: https://djangocontrolroom.com/

I think that explains some of the value for this project a bit better

malux85•2h ago
Great project, Django admin totally needs some love! You rock!
yassi_dev•2h ago
Thank you. I wholeheartedly agree; The Django admin a great surface to stand up tooling
ramon156•1h ago
A vibe-coded website built on a vibe-coded README, can't get any better than this
yassi_dev•1h ago
Fair.

README and site were definitely optimized for speed over perfection. The panels themselves got a bit more attention.

Curious what you’d want to see improved on the docs/site side.

parham•1h ago
It’s the initial starting point, calm down.

I like the idea it can help for initial inspection and smell detection

seyz•1h ago
toxic.
Eldt•6m ago
Not all negativity is toxic. My sense of hunger is unpleasant but it keeps me healthy.
cruffle_duffle•30m ago
I mean docs are largely written for an LLM-in-a-harness. That’s how it goes! If the LLM bootstraps with the right understanding of the universe and knows how to quickly build specific context flavors… life is good.
dec0dedab0de•2h ago
i like it, but I think i would rather have a proxy, or atleast an auth redirect to those different tools.

I used to have flower at myapp.com/flower using an auth redirect in nginx to a simple view in django that made sure it was an admin user. I think if you can make that setup easier to leverage existing tools that would be nicer than rebuilding everything.

yassi_dev•1h ago
Totally understand - I am a long time flower user for example, and I am familiar with having to harden that installation a bit.

What I'm aiming for here is slightly different - keeping everything inside Django so there are no extra services to run or configure or proxy. As long as you surface the admin somewhere, then that is the place to find your tooling (including celery monitoring)

There will always be room for both approaches. A lightweight proxy/redirect could be something to explore in the future.

drchaim•56m ago
Good idea. If you add a kind of skill/prompt you’ll get a lot of other components from the community ;)
dzonga•45m ago
this is pretty dope
yassi_dev•36m ago
Thanks. I hope you find it useful
izzie1234•27m ago
I love this idea. I see the AI era having 2 competing views when building something new:

1. Build X with pure <language of choice>. Why? LLMs will have less context needed, and onboarding engineers would be easier since there’ll be less overhead and opinionated frameworks knowledge required

2. Build X using well establish frameworks. Painful in the beginning since you’ll not only need language knowledge, but framework knowledge. The upshot, is scaling and maintainability

I love that this ecosystem will heavily pressure teams to consider (2) more and more — solving the very real “AI slop” problem

yassi_dev•9m ago
Thats an interesting way to frame it.

In my view. Building things with AI creates the need for common patterns and guardrails (i.e. frameworks) Then as these new apps become productionalized - tooling that fits your framework starts to become more important.

In that sense, AI increases the need for good patterns around observability. This project aims to make this a little easier to do for Django right from inside the framework as opposed to an external service.

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