Awesome
GenFlow
Code Generation framework used in RepreZen API Studio.
RepreZen API Studio supports API design-first and <a href="http://RZen.io/APICodeFlow" rel="noreferrer noopener" target="_blank">API CodeFlow</a> with a highly-evolved, extensible code generation engine. These capabilities are now available here in <em>GenFlow</em>.</p>
An Open Framework for API Code Generation
GenFlow is a comprehensive API code generation framework that supports a wide variety of code generation scenarios. Here are some of its essential features:
-
Generates API client libraries, services, documentation and other essential components, using pre-built or custom generators.<br><br>
Learn More:
-
Works with OpenAPI v2 (Swagger), OpenAPI v3, and RAPID-ML, with an open architecture to support other API specification formats as input.<br><br>
Learn More:
- OpenAPI 2.0 Specification <img src="https://www.reprezen.com/hubfs/external-link.png" height="12" width="12" alt="external link">
- OpenAPI 3.0 Specification <img src="https://www.reprezen.com/hubfs/external-link.png" height="12" width="12" alt="external link">
- RAPID-ML Homepage <img src="https://www.reprezen.com/hubfs/external-link.png" height="12" width="12" alt="external link">
-
Provides convenient access to Swagger Codegen and OpenAPI-Generator along with other popular open source code generators.<br><br>
Learn More:
-
Supports custom code generators written in Java, and provides a powerful, template-driven framework built on Xtend.<br><br>
Learn More:
-
Integrates KaiZen OpenAPI Normalizer as a preprocessor or standalone code generator. KaiZen Normalizer consolidates multi-file OpenAPI projects to a single document by resolving references, applying defaults, and expanding cascading properties to ensure reliable processing by downstream code generators and API documentation formats.<br><br>
Learn More:
-
Runs from the command line, CI/CD platforms, and RepreZen API Studio through Maven and Gradle integration, with all dependencies hosted on Maven Central.
-
Easy configuration through a convenient YAML-formatted .gen file, with embedded documentation for each parameter.
-
Enables multi-step chaining of code generators to create advanced API modeling and codegen solutions.