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Graphene vs GraphQL: What are the differences?
Developers describe Graphene as "GraphQL framework for Python". Graphene is a Python library for building GraphQL schemas/types fast and easily. On the other hand, GraphQL is detailed as "A data query language and runtime". GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
Graphene and GraphQL belong to "Query Languages" category of the tech stack.
Some of the features offered by Graphene are:
- Easy to use: Graphene helps you use GraphQL in Python without effort.
- Relay: Graphene has builtin support for Relay
- Django: Automatic Django model mapping to Graphene Types. Check a fully working Django implementation
On the other hand, GraphQL provides the following key features:
- Hierarchical
- Product-centric
- Client-specified queries
Graphene and GraphQL are both open source tools. GraphQL with 11.7K GitHub stars and 752 forks on GitHub appears to be more popular than Graphene with 4.64K GitHub stars and 494 GitHub forks.
According to the StackShare community, GraphQL has a broader approval, being mentioned in 541 company stacks & 715 developers stacks; compared to Graphene, which is listed in 11 company stacks and 5 developer stacks.
Pros of Graphene
- Will replace RESTful interfaces0
- The future of API's0
Pros of GraphQL
- Schemas defined by the requests made by the user74
- Will replace RESTful interfaces62
- The future of API's60
- The future of databases48
- Self-documenting12
- Get many resources in a single request11
- Query Language5
- Ask for what you need, get exactly that5
- Fetch different resources in one request3
- Evolve your API without versions3
- Type system3
- Easy setup2
- Ease of client creation2
- GraphiQL2
- "Open" document1
- Easy to learn1
- Better versioning1
- Standard1
- Backed by Facebook1
- 1. Describe your data1
- Fast prototyping1
- Good for apps that query at build time. (SSR/Gatsby)1
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Cons of Graphene
Cons of GraphQL
- Hard to migrate from GraphQL to another technology4
- More code to type.4
- Takes longer to build compared to schemaless.2
- All the pros sound like NFT pitches1
- Works just like any other API at runtime1