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Falcor vs RAML: What are the differences?
Falcor: A JavaScript library for efficient data fetching, created by Netflix. 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; RAML: RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. 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.
Falcor and RAML can be primarily classified as "API" tools.
Some of the features offered by Falcor are:
- One Model Everywhere
- The Data is the API
- Bind to the Cloud
On the other hand, RAML provides the following key features:
- 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
Falcor is an open source tool with 9.36K GitHub stars and 449 GitHub forks. Here's a link to Falcor's open source repository on GitHub.
According to the StackShare community, RAML has a broader approval, being mentioned in 9 company stacks & 6 developers stacks; compared to Falcor, which is listed in 5 company stacks and 4 developer stacks.
Pros of Falcor
- Promotes microservices2
- Small API2
- Data is the API2
- One Model Everywhere2
- efficient data fetching1
- Bind to the Cloud1
- Virtual JSON Resource1
- Simple1
- Backed by Netflix1
- JSON Graph1
Pros of RAML
- API Specification15
- Human Readable7
- API Documentation6
- Design Patterns & Code Reuse3
- API Modeling2
- Automatic Generation of Mule flow2
- Unit Testing2
- API Mocking1
- SDK Generation1