appliku_start
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| appliku_start | redbeat | |
|---|---|---|
| 1 | 2 | |
| 8 | 831 | |
| - | - | |
| 0.0 | 0.0 | |
| 4 months ago | 2 days ago | |
| JavaScript | Python | |
| - | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
appliku_start
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How I made Python/Django Apps deploy themselves
The readme of the example app just says "R":
redbeat
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How I made Python/Django Apps deploy themselves
of course it does. Appliku out of the box provides a way to provision redis and rabbmitmq.
I have yet to write a tutorial about celery.
To specify processes to run you use Procfile. Specify your celery commands and enable them in Process tab in Appliku interface.
In order to have celery beat working you should use redbeat: https://github.com/sibson/redbeat
Other than that – no specific requirements. Drop me a line in contacts on our site if you need any help. Or in our Discord Community: https://appliku.com/discord
What are some alternatives?
celery-exporter - A Prometheus exporter for Celery metrics
dokku-scheduler-kubernetes - Scheduler plugin for deploying applications to kubernetes
UpSnap - A simple wake on lan web app written with SvelteKit, Go and PocketBase.
djangitos
setup - A set of scripts to setup the scanner webapp, API and model store.
django-project-template - The Django project template I use, for installation with django-admin.
dokku-dashboard - A GUI for Dokku hosted on Dokku
flower - Real-time monitor and web admin for Celery distributed task queue
Caddy - Fast and extensible multi-platform HTTP/1-2-3 web server with automatic HTTPS