Restlet Announces New API Documentation Creation and Publishing Tool

Restlet, an API platform provider, has announced the availability of a new tool that automatically creates API documentation from API specification files such as OAS and RAML. Code-named Gutenberg, this new API documentation creation and publishing tool is available at no additional charge via Restlet Studio. This is the latest update to the Restlet API platform. Earlier this year, the company updated its DHC API Testing Tool adding continuous delivery integrations. A few months ago, Restlet announced a new version of Restlet Studio that aims to unify API tooling into one user experience.

Restlet Studio is a Web IDE for API design; developers and non-technical users can use Restlet Studio for designing and documenting APIs. The new API documentation creation and publishing tool allows users to create RAML and OAS definitions without the need to learn all the syntax of these API modeling languages.

The tool automatically creates and publishes API documentation that stays in sync with the API so that documentation is always up to date. The tool also includes options (team, public, or password protected) for securing API documentation access.

Paul Pirat, Software Architect at Prologia, is quoted in the press release as saying "By making it easier to produce high-quality documentation that stays in sync with the API, Restlet Studio not only increases the value of the APIs that companies offer, it also significantly reduces the risk of brand damage experienced when companies publish outdated documentation that doesn’t work."

Restlet Studio is available as a free, cloud application and premium versions are also available.

For more information about Restlet Studio, visit http://restlet.com.

Disclosure: Although they are not head-on competitors in the broader API Management market, both Restlet and ProgrammableWeb's parent company MuleSoft offer API design tools that some would consider competitive to each other.

Janet Wagner is a technical writer and contributor to ProgrammableWeb who covers breaking news, in-depth analysis, and product reviews. She specializes in creating well-researched, in-depth content about APIs, machine learning, deep learning, computer vision, analytics, and other advanced technologies.

Comments

Comments(1)

Myaz77

This is interesting, thanks Janet.