Graphene vs OData

Overview

Graphene

Stacks100

Followers142

Votes0

GitHub Stars8.2K

Forks819

OData

Stacks60

Followers139

Votes35

Graphene vs OData: What are the differences?

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

What is OData? *A REST-based protocol for querying and updating data *. 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.

Graphene and OData 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.

Detailed Comparison

Graphene	OData
Graphene is a Python library for building GraphQL schemas/types fast and easily.	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.
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	OData RESTful APIs are easy to consume; ISO/IEC approved
Statistics
GitHub Stars 8.2K	GitHub Stars -
GitHub Forks 819	GitHub Forks -
Stacks 100	Stacks 60
Followers 142	Followers 139
Votes 0	Votes 35
Pros & Cons
Pros 0 The future of API's 0 Will replace RESTful interfaces	Pros 7 Patterns for paging, sorting, filtering 5 ISO Standard 4 Query Language 3 RESTful 3 No overfetching, no underfetching Cons 1 Overwhelming, no "baby steps" documentation
Integrations
GraphQL Django Python Relay Framework	Python C++ JavaScript Visual Studio Code .NET Java

What are some alternatives to Graphene, OData?

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

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).

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.

graphql.js

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

GraphQL Ruby

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

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.