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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.
Pros of Graphene
- Will replace RESTful interfaces0
- The future of API's0
Pros of OData
- Patterns for paging, sorting, filtering7
- ISO Standard5
- Query Language4
- RESTful3
- No overfetching, no underfetching3
- Get many resources in a single request2
- Self-documenting2
- Batch requests2
- Bulk requests ("array upsert")2
- Ask for what you need, get exactly that2
- Evolve your API by following the compatibility rules1
- Resource model defines conventional operations1
- Resource Modification Language1
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Cons of Graphene
Cons of OData
- Overwhelming, no "baby steps" documentation1
