A GraphQL library for Python that leverages type annotations 🍓
There are a few other frameworks out there like Ariadne and Strawberry. I haven't tried them out as both seemed also quite new and immature and I imagine I'd run into the same performance issues with them.
Build powerful, efficient, and flexible GraphQL APIs with seamless Django integration.
in my last project I used graphene to build a Django backend application with GraphQL. It seemed like the best framework to adopt graphql in python at that time in terms of stability and maturity.
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
Optimize database access inside graphene queries
The N+1 problem is going to exist no matter what framework or approach you use, even if you switch to REST. There exists a N+1 optimizer for graphene that will read your queries and prefetch/select the relevant fields to make things easier.
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