What's behind the creation of this fancy data framework.
Python is developing fast these years with the popularity and affection of Deep Learning and AI. It gains a lot of useful and handy new features like type hint and dataclasses in recent versions. When we decided to move our technical stack to Python, we couldn't find a great data processing pipeline and a backend ORM solution. With many years' experience, I also wanted to build a simple to use, declarative, automated data processing and persisting experience that I wound enjoy to use. With Python's meta programming functionalities, this is just able to be implemented.
JSONClasses uses several Python features like type hinting and dataclasses. With the great metaprogramming functionalities that Python offers, we can easily extend it into a great DSL for declaring data structures, transforming rules and validation rules.
GraphQL's Schema Definition Language cannot work well with programming languages' syntax checking and type completion. To support more and more functions, a DSL would become more and more like a programming language. This is similar React.js, Jetpack Compose and SwiftUI. The structures of the declaration is embedded in code, not in a special text file.
Python is the programming language which is nearest to AI areas. The era we are living is an era and a generation empowered by AI. AI algorithms empower products with unimaginable stunning features. A great product should adapt to some level of AI to continue providing great functions for it's targeting audience.