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  5. OpenAPI vs RAML

OpenAPI vs RAML

OverviewComparisonAlternatives

Overview

RAML
RAML
Stacks147
Followers156
Votes39
OpenAPI
OpenAPI
Stacks696
Followers458
Votes6
GitHub Stars19.5K
Forks7.0K

OpenAPI vs RAML: What are the differences?

Introduction: OpenAPI and RAML are two popular languages used in API documentation. Although both serve a similar purpose, there are some key differences between the two.

  1. Format: OpenAPI uses YAML or JSON for specifying the API, while RAML uses YAML or JSON plus an XML extension for describing the API. This difference in formats allows for slightly different ways of organizing and presenting the API documentation.

  2. Version Control: OpenAPI has a long history and has evolved through multiple versions, with the latest being OpenAPI 3.0. RAML, on the other hand, had a major release in 2013 and is currently in version 1.0. This difference in versioning can affect the availability and maturity of certain features in each language.

  3. Tooling Ecosystem: OpenAPI has a more extensive tooling ecosystem compared to RAML. This includes a wide range of tools for generating server stubs, client libraries, and documentation from the OpenAPI specifications. RAML's tooling ecosystem, while not as extensive, still provides tools for various tasks but may have fewer options available.

  4. Schema Definition: OpenAPI uses JSON Schema for describing and validating data models, while RAML uses a built-in schema definition language called JSON Type Language (JTL). This difference in schema definition can affect how data models are defined and used in the API documentation.

  5. Maturity and Adoption: OpenAPI has a larger community and wider adoption compared to RAML. This means that OpenAPI specifications are more commonly used and supported by API developers, tooling providers, and API consumers. RAML, while still widely used, may have a slightly smaller community and fewer resources available.

  6. Extensibility: OpenAPI offers a more extensible framework for adding custom specifications and annotations through the use of extensions. RAML, while also supporting extensibility, may have more limited options for adding custom specifications in certain areas.

In summary, OpenAPI and RAML differ in their formats, version control, tooling ecosystem, schema definition, maturity, and extensibility. While OpenAPI has a larger community and more extensive tooling support, RAML offers a different approach to API documentation and may still be a viable option depending on specific requirements and preferences.

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Detailed Comparison

RAML
RAML
OpenAPI
OpenAPI

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

It is a publicly available application programming interface that provides developers with programmatic access to a proprietary software application or web service.

Create and pull in namespaced, reusable libraries, containing data types; Annotations let you add vendor specific functionality without compromising your spec; Traits and resource Types let you take advantage of code reuse and design patterns; Easily define resources and methods then add as much detail as you want
-
Statistics
GitHub Stars
-
GitHub Stars
19.5K
GitHub Forks
-
GitHub Forks
7.0K
Stacks
147
Stacks
696
Followers
156
Followers
458
Votes
39
Votes
6
Pros & Cons
Pros
  • 15
    API Specification
  • 7
    Human Readable
  • 6
    API Documentation
  • 3
    Design Patterns & Code Reuse
  • 2
    Automatic Generation of Mule flow
Pros
  • 1
    Easy to read the template generated
  • 1
    Supports caching
  • 1
    Supports authentication
  • 1
    Supports versioning
  • 1
    Easy to learn
Integrations
No integrations available
Stoplight
Stoplight
PayPal
PayPal
Kong
Kong
SAP HANA
SAP HANA
Talend
Talend
Mule runtime engine
Mule runtime engine

What are some alternatives to RAML, OpenAPI?

Postman

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Paw

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Appwrite

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Insomnia REST Client

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

Apigee

Apigee

API management, design, analytics, and security are at the heart of modern digital architecture. The Apigee intelligent API platform is a complete solution for moving business to the digital world.

Hoppscotch

Hoppscotch

It is a free, fast and beautiful API request builder. It helps you create requests faster, saving precious time on development

Falcor

Falcor

Falcor lets you represent all your remote data sources as a single domain model via a virtual JSON graph. You code the same way no matter where the data is, whether in memory on the client or over the network on the server.

DuckRails

DuckRails

DuckRails is an open source development tool that helps developer mock API endpoints quickly & dynamically outside the application code.

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