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GraphQL vs Graphene vs graphql.js: What are the differences?
Introduction: GraphQL is a query language for APIs developed by Facebook, while Graphene is a Python library used to create GraphQL APIs. On the other hand, graphql.js is a JavaScript GraphQL implementation to create GraphQL APIs in JavaScript.
- Language vs. Library: GraphQL is a query language used to interact with APIs, while Graphene is a library specifically designed to create GraphQL APIs in Python.
- Python vs. JavaScript: Graphene is used in Python for creating GraphQL APIs, whereas graphql.js is employed in JavaScript for the same purpose.
- Flexibility: Graphene provides an easy and flexible way to create GraphQL APIs in Python, whereas graphql.js offers similar flexibility specifically for JavaScript applications.
- Community Support: Graphene has a well-established community in the Python ecosystem, providing extensive support and resources, while graphql.js also has a supportive community, particularly within the JavaScript development environment.
- Maturity and Stability: Graphene has been around longer and is more mature in terms of stability and feature set, whereas graphql.js, being relatively newer, may still undergo more changes and updates for enhancement.
- Performance: Despite both tools aiming to improve API performance, Graphene, with its Python background, may have different performance characteristics compared to graphql.js, developed for JavaScript applications.
In Summary, the key differences between GraphQL and its implementations in Graphene and graphql.js lie in the language/library distinction, Python vs. JavaScript use cases, flexibility, community support, maturity, stability, and potential performance characteristics.
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Learn MorePros of Graphene
Pros of GraphQL
Pros of graphql.js
Pros of Graphene
- Will replace RESTful interfaces0
- The future of API's0
Pros of GraphQL
- Schemas defined by the requests made by the user75
- Will replace RESTful interfaces63
- The future of API's62
- The future of databases49
- Self-documenting13
- Get many resources in a single request12
- Query Language6
- Ask for what you need, get exactly that6
- Fetch different resources in one request3
- Type system3
- Evolve your API without versions3
- Ease of client creation2
- GraphiQL2
- Easy setup2
- "Open" document1
- Fast prototyping1
- Supports subscription1
- Standard1
- Good for apps that query at build time. (SSR/Gatsby)1
- 1. Describe your data1
- Better versioning1
- Backed by Facebook1
- Easy to learn1
Pros of graphql.js
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Cons of Graphene
Cons of GraphQL
Cons of graphql.js
Cons of Graphene
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Cons of GraphQL
- Hard to migrate from GraphQL to another technology4
- More code to type.4
- Takes longer to build compared to schemaless.2
- No support for caching1
- All the pros sound like NFT pitches1
- No support for streaming1
- Works just like any other API at runtime1
- N+1 fetch problem1
- No built in security1
Cons of graphql.js
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- No public GitHub repository available -
What is Graphene?
Graphene is a Python library for building GraphQL schemas/types fast and easily.
What is GraphQL?
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.
What is graphql.js?
Lightest GraphQL client with intelligent features. You can download graphql.js directly, or you can use Bower or NPM.
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What companies use Graphene?
What companies use GraphQL?
What companies use graphql.js?
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What tools integrate with Graphene?
What tools integrate with GraphQL?
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What are some alternatives to Graphene, GraphQL, and graphql.js?
Graphite
Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
Ethereum
A decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.
SQL
SQL is designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
Prisma
Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.
Oracle PL/SQL
It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.