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  5. Graphene vs graphql.js

Graphene vs graphql.js

OverviewComparisonAlternatives

Overview

Graphene
Graphene
Stacks96
Followers142
Votes1
GitHub Stars8.2K
Forks819
graphql.js
graphql.js
Stacks93
Followers85
Votes0
GitHub Stars2.3K
Forks88

Graphene vs graphql.js: What are the differences?

# Introduction
This markdown code explores the key differences between Graphene and graphql.js.

1. **Implementation Style**: Graphene is a Python library that provides a code-first approach with a strong emphasis on schema design, whereas graphql.js is a JavaScript implementation that follows a schema-first approach where the schema is defined using the GraphQL Schema Definition Language (SDL).
2. **Language Support**: Graphene primarily targets Python developers and provides extensive support for Python language features, while graphql.js caters to JavaScript developers, offering seamless integration with JavaScript applications and libraries.
3. **Extension Capabilities**: Graphene offers a robust extension system that allows developers to easily extend and customize the functionality of the GraphQL server, providing flexibility in implementing complex features, while graphql.js provides less extensive extension capabilities, limiting the customization options. 
4. **Community and Ecosystem**: Graphene has a strong and active community of Python developers and a rich ecosystem of plugins and tools that enhance the development experience, whereas graphql.js benefits from the larger JavaScript community and a wide range of resources for GraphQL development in JavaScript.
5. **Error Handling**: Graphene provides detailed error handling mechanisms, allowing developers to catch and handle errors at different levels of the application, providing better control and visibility, whereas graphql.js may have comparatively simpler error handling that may require additional effort to manage complex error scenarios.
6. **Performance Optimization**: Graphene has built-in optimizations for performance enhancements, such as query batching and caching, to optimize server response times, while graphql.js may require manual implementation of performance optimization techniques, potentially leading to varying degrees of performance gains.

In Summary, the key differences between Graphene and graphql.js lie in their implementation style, language support, extension capabilities, community and ecosystem, error handling, and performance optimization approaches.

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Detailed Comparison

Graphene
Graphene
graphql.js
graphql.js

Graphene is a Python library for building GraphQL schemas/types fast and easily.

Lightest GraphQL client with intelligent features. You can download graphql.js directly, or you can use Bower or NPM.

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
No dependencies, plain vanilla JavaScript.;Plug & Play.;Isomorphic.;Runs on most browsers.;You don't need to install Node.js ecosystem on your computer.
Statistics
GitHub Stars
8.2K
GitHub Stars
2.3K
GitHub Forks
819
GitHub Forks
88
Stacks
96
Stacks
93
Followers
142
Followers
85
Votes
1
Votes
0
Pros & Cons
Pros
  • 0
    Will replace RESTful interfaces
  • 0
    The future of API's
No community feedback yet
Integrations
GraphQL
GraphQL
Django
Django
Python
Python
Relay Framework
Relay Framework
GraphQL
GraphQL

What are some alternatives to Graphene, graphql.js?

GraphQL

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.

Prisma

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.

PostGraphile

PostGraphile

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database

OData

OData

It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.

Oracle PL/SQL

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.

SQL

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).

JSON API

JSON API

It is most widely used data format for data interchange on the web. This data interchange can happen between two computers applications at different geographical locations or running within same hardware machine.

JsonAPI

JsonAPI

t is a format that works with HTTP. A main goal of the specification is to optimize HTTP requests both in terms of the number of requests and the size of data packages exchanged between clients and servers.

GraphQL Ruby

GraphQL Ruby

Get going fast with the graphql gem, battle-tested and trusted by GitHub and Shopify.

Trino

Trino

It is a fast distributed SQL query engine for big data analytics that helps you explore your data universe. It is designed to query large data sets distributed over one or more heterogeneous data sources.

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