genql VS pycon-graphql

GraphQL via genql

GraphQL is really useful paired with a tool like Genql [0] that creates a js library with auto completion and type safety, this makes discovering and using the API much easier and faster

[0] https://github.com/remorses/genql

I just got done doing a talk on GraphQL for PyCon2022 and I do agree with some of the points here. Performance work can be tedious and is not bi-directional in the graph so the number of dataloaders can blow up making debugging hard. Identifying where n+1 queries are in the API can also be difficult, but I used this open source package to help: https://github.com/tatari-tv/query-counter. I think the article failed to mention two of the things that GraphQL does really well: dense queries and built-in pagination. You're able to do the work of many serialized REST queries in one query using the node context of the GraphQL graph structure, which is a huge win if you're hitting performance issues related to requests per second to your API. Also pagination using the cursor, before/after, etc. is very helpful and Flask_Graphene enables some slick caching there to make subsequent queries at that cursor to be extremely performant. I have code with my sample implementation which simple, but shows the power of DataLoaders: https://github.com/lame/pycon-graphql.