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But is DRFs complexity worth it compared to Ninja?

• dangerbird2 5y ago
  DRF was about as good as it got for automatic schema generation and data validation before python static type hints made things like pydantic possible. It also sets up good defaults for stuff like query parameter-based filtering, pagination, and resource relationships (it supports HATOAS by default).
  • Nextgrid 5y ago
    I'd argue that Python type hints are actually a step back. Sure, they may work 80% of the time, but there are times where you need the extra flexibility offered by DRF serializers. Those can go way farther than the basic "map these JSON data types to this Python representation" which would then be difficult to represent using basic Pydantic-style hints (you'd have to the rest in procedural Python within your endpoint, which can't easily be reused when it comes to function-based views, where as DRF abstracts that away within the serializer which not only can be reused, but itself can be composed of multiple classes/mixins).
• leowoo91 5y ago
  DRF isn't necessarily complex, you can still use its generic views.
  • Nextgrid 5y ago
    My argument about the "complexity" of DRF is that you need to use its serializers (frankly if you're just returning raw dicts then you're already not far off from built-in, generic Django function-based views) which I guess some people may consider complex especially if the data you're representing doesn't originate from models.