GraphQL Ruby vs Graphene vs graphql.js

Overview

Graphene

Stacks96

Followers142

Votes1

GitHub Stars8.2K

Forks819

GraphQL Ruby

Stacks68

Followers76

Votes0

GitHub Stars5.4K

Forks1.4K

graphql.js

Stacks93

Followers85

Votes0

GitHub Stars2.3K

Forks88

GraphQL Ruby vs Graphene vs graphql.js: What are the differences?

Language Support: GraphQL Ruby is specifically designed for Ruby on Rails applications, providing seamless integration with Ruby stack. On the other hand, Graphene is a Python library that is used to create GraphQL APIs in Python-based web applications. Meanwhile, graphql.js is a JavaScript library for running a GraphQL endpoint in Node.js applications.
Community and Documentation: GraphQL Ruby has a supportive community but may have fewer resources and examples compared to the more widely used Graphene library in the Python ecosystem. Graphene offers extensive documentation and a large community of developers contributing to the evolution of the library. In comparison, graphql.js, being a JavaScript library, benefits from the vast JavaScript community and resources available online.
Flexibility and Customization: While Graphene provides a high degree of flexibility and customization options, allowing for schema abstraction and customization through Python code, GraphQL Ruby may have a more streamlined approach tailored for Ruby developers. On the other hand, graphql.js offers flexibility in how you structure your server implementation using its expressive API.
Performance and Scalability: Graphene is known for its performance optimization features, making it a preferred choice for high-traffic and scalable applications in the Python community. GraphQL Ruby, with its focus on Ruby stack integration, may have optimizations specific to Ruby on Rails applications. Meanwhile, graphql.js offers efficient execution and response handling in Node.js applications.
Tooling and Ecosystem: Each of these libraries comes with its own set of tools and ecosystem support. Graphene provides a rich set of tools and extensions for building GraphQL APIs in Python, enhancing developer productivity. GraphQL Ruby, being tailored for Ruby stack, may have tools and integrations that seamlessly work within the Ruby on Rails ecosystem. graphql.js benefits from the broader JavaScript ecosystem, with a variety of tools and libraries that can be integrated with Node.js applications.
Maturity and Adoption: Graphene, being established earlier in the Python community, has gained widespread adoption and is considered a mature library with a proven track record. GraphQL Ruby, while robust, may have a slightly smaller user base compared to Graphene. graphql.js, benefiting from the popularity of JavaScript, is widely adopted and supported within the JavaScript community, making it a reliable choice for implementing GraphQL in Node.js applications.

In Summary, GraphQL Ruby, Graphene, and graphql.js differ in their language support, community and documentation, flexibility and customization, performance and scalability, tooling and ecosystem, as well as maturity and adoption rates, catering to the specific needs and preferences of developers in Ruby, Python, and JavaScript ecosystems.

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Detailed Comparison

Graphene	GraphQL Ruby	graphql.js
Graphene is a Python library for building GraphQL schemas/types fast and easily.	Get going fast with the graphql gem, battle-tested and trusted by GitHub and Shopify.	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	Define Your Schema - Describe your application with the GraphQL type system to create a self-documenting, strongly-typed API.; Run Queries - Serve queries to build a great UI or webservice.	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 5.4K	GitHub Stars 2.3K
GitHub Forks 819	GitHub Forks 1.4K	GitHub Forks 88
Stacks 96	Stacks 68	Stacks 93
Followers 142	Followers 76	Followers 85
Votes 1	Votes 0	Votes 0
Pros & Cons
Pros 0 Will replace RESTful interfaces 0 The future of API's	No community feedback yet	No community feedback yet
Integrations
GraphQL Django Python Relay Framework	Ruby GraphQL	GraphQL

What are some alternatives to Graphene, GraphQL Ruby, graphql.js?

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 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

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

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

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 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).

Text To SQL

Transform natural language into SQL with AI. 95%+ accuracy, enterprise-grade security, multi-database support. Supported databases: PostgreSQL, MySQL, MSSQL, Oracle and many more. Simple text to SQL

Exposed: the SQL library for Kotlin

Exposed is a Kotlin SQL library providing a typesafe DSL for constructing queries and a lightweight DAO framework for database interaction in ORM style.

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

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.

Related Comparisons

GraphQL Ruby vs Graphene vs graphql.js: What are the differences?

Language Support: GraphQL Ruby is specifically designed for Ruby on Rails applications, providing seamless integration with Ruby stack. On the other hand, Graphene is a Python library that is used to create GraphQL APIs in Python-based web applications. Meanwhile, graphql.js is a JavaScript library for running a GraphQL endpoint in Node.js applications.
Community and Documentation: GraphQL Ruby has a supportive community but may have fewer resources and examples compared to the more widely used Graphene library in the Python ecosystem. Graphene offers extensive documentation and a large community of developers contributing to the evolution of the library. In comparison, graphql.js, being a JavaScript library, benefits from the vast JavaScript community and resources available online.
Flexibility and Customization: While Graphene provides a high degree of flexibility and customization options, allowing for schema abstraction and customization through Python code, GraphQL Ruby may have a more streamlined approach tailored for Ruby developers. On the other hand, graphql.js offers flexibility in how you structure your server implementation using its expressive API.
Performance and Scalability: Graphene is known for its performance optimization features, making it a preferred choice for high-traffic and scalable applications in the Python community. GraphQL Ruby, with its focus on Ruby stack integration, may have optimizations specific to Ruby on Rails applications. Meanwhile, graphql.js offers efficient execution and response handling in Node.js applications.
Tooling and Ecosystem: Each of these libraries comes with its own set of tools and ecosystem support. Graphene provides a rich set of tools and extensions for building GraphQL APIs in Python, enhancing developer productivity. GraphQL Ruby, being tailored for Ruby stack, may have tools and integrations that seamlessly work within the Ruby on Rails ecosystem. graphql.js benefits from the broader JavaScript ecosystem, with a variety of tools and libraries that can be integrated with Node.js applications.
Maturity and Adoption: Graphene, being established earlier in the Python community, has gained widespread adoption and is considered a mature library with a proven track record. GraphQL Ruby, while robust, may have a slightly smaller user base compared to Graphene. graphql.js, benefiting from the popularity of JavaScript, is widely adopted and supported within the JavaScript community, making it a reliable choice for implementing GraphQL in Node.js applications.

GraphQL Ruby vs Graphene vs graphql.js

Overview