A Ruby library for easily defining and rendering JSON/XML API responses from Rails models.
acts_as_api is a Ruby library that simplifies building API responses in Rails applications. It allows developers to declaratively define how their model data should be serialized into JSON or XML formats, reducing boilerplate code and improving consistency across API endpoints. The library is designed to be fast, flexible, and works with multiple ORMs beyond just ActiveRecord.
Rails developers building JSON or XML APIs who want a clean, model-centric way to define response structures without scattering serialization logic across controllers or views.
Developers choose acts_as_api for its intuitive, Rails-like syntax, support for multiple response templates per model, and its proven performance in production environments. It offers a more structured and maintainable alternative to manual serialization or heavier full-featured API frameworks.
makes creating API responses in Rails easy and fun
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Uses a simple, Rails-like syntax with api_accessible blocks to define response structures directly in models, making it intuitive and reducing boilerplate code, as shown in the introductory example.
Allows creating different templates like public and private for the same model, useful for API versioning or access control, demonstrated with extendable templates in the code snippet.
Works with ActiveRecord, Mongoid, and ActiveResource out of the box, and can be used in non-Rails Ruby apps, offering versatility beyond typical Rails serializers.
Battle-tested in high-performance platforms like Diaspora and flinc, ensuring optimized response generation for real-world, scalable applications as noted in the README.
Version 0.3.0 introduced a complete overhaul that broke compatibility with previous versions, indicating a risk of future disruptive updates and potential migration headaches.
Key information is split between a wiki, external introduction page, and RDoc, which can make it harder to find comprehensive guidance and increase onboarding time.
Defining templates in models can violate separation of concerns for some teams, leading to potential model bloat in complex APIs, as opposed to using dedicated serializer objects.