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  1. Stackups
  2. Application & Data
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  4. Query Languages
  5. Graphene vs JsonAPI

Graphene vs JsonAPI

OverviewComparisonAlternatives

Overview

Graphene
Graphene
Stacks96
Followers142
Votes1
GitHub Stars8.2K
Forks819
JsonAPI
JsonAPI
Stacks92
Followers105
Votes0

Graphene vs JsonAPI: What are the differences?

Graphene: GraphQL framework for Python. Graphene is a Python library for building GraphQL schemas/types fast and easily; JsonAPI: A specification for building apis in json. 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.

Graphene and JsonAPI belong to "Query Languages" category of the tech stack.

Graphene is an open source tool with 4.83K GitHub stars and 516 GitHub forks. Here's a link to Graphene's open source repository on GitHub.

Dejikoro, A Color Bright, and OnCare are some of the popular companies that use Graphene, whereas JsonAPI is used by Firecracker, Tricentis Flood, and esportshub. Graphene has a broader approval, being mentioned in 16 company stacks & 29 developers stacks; compared to JsonAPI, which is listed in 14 company stacks and 14 developer stacks.

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Detailed Comparison

Graphene
Graphene
JsonAPI
JsonAPI

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

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.

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
-
Statistics
GitHub Stars
8.2K
GitHub Stars
-
GitHub Forks
819
GitHub Forks
-
Stacks
96
Stacks
92
Followers
142
Followers
105
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
No integrations available

What are some alternatives to Graphene, JsonAPI?

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.

graphql.js

graphql.js

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

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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