Based on our record, Apache Airflow seems to be a lot more popular than Django REST framework. While we know about 65 links to Apache Airflow, we've tracked only 3 mentions of Django REST framework. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Django Rest Framework seems like the most mature and works great with Django. But its strength, if I understand correctly, is for auto-creating all the necessary endpoints for manipulating models, which might be useful for data entry applications. I know that it's super flexible and probably my use case will be covered, but it seems that this it might get complicated. Source: almost 2 years ago
There is one last thing I'm a little confused on with Django Rest Framework and that's the different between permission classes and authentication classes. Source: about 2 years ago
I am using django-rest-framework. It provides an awesome Django admin style browsable self-documenting API. But anyone can visit those pages and use the interface to add data (POST). How can I disable it? Source: over 2 years ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 6 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 6 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 7 months ago
I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 7 months ago
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