django-pgpubsub VS PyWebIO

First I would stick with celery if possible. I am not aware of something like that that is widely adopted. you could write your own crontab scripts or a combination of crontab script that writes to db with some listener like this https://github.com/Opus10/django-pgpubsub or use this one https://github.com/kraiz/django-crontab But both projects are not widely used or do not seem to be well maintained. I hope I was able to be of any help.

If you're using Postgres, you could consider https://github.com/Opus10/django-pgpubsub

django-pgpubsub – A distributed task processing framework for Django built on top of the Postgres NOTIFY/LISTEN protocol

Rather than relying on signals and celery, we may want to consider borrowing a pattern from the land of Postgres: Triggers and NOTIFY/LISTEN. The library django-pgpubsub offers a django application layer abstraction of this pattern. We can refactor our above solution using django-pgpubsub to look as follows:

You could try https://github.com/Opus10/django-pgpubsub. This is distributed task processing framework for Django built on top of the Postgres NOTIFY/LISTEN protocol. Does what you're looking for and isn't as operationally heavy as something like celery.

A common pattern in modern web development is the requirement to process data asynchronously after some user action or database event. In the below article, I describe via a concrete example a traditional approach to solving this problem for a Django/Postgres based application using django signals and Celery. I then proceed to discuss some of the shortcomings of this approach and demonstrate how using django-pgpubsub can offer a lightweight and more robust solution.

To write web gui in Python, there are some other open source alternatives.

If just want to port simple shell interactive interface to web gui, can check https://github.com/pywebio/PyWebIO

If want to get a production level dashboard by using Python, https://wave.h2o.ai/ <>

PyWebIO – Write interactive web app in script way

https://github.com/pywebio/PyWebIO is worth checking out, there's a demo page on data visualisation at https://pywebio-charts.pywebio.online/ that you could maybe grab code from to get you there quicker.

Here is PyWebIO documentation if you'd like to dig deeper: https://pywebio.readthedocs.io/

Document is on https://pywebio.readthedocs.io