github.com/cool-rest/rest-layer
Package restlayer is an API framework heavily inspired by the excellent Python Eve (http://python-eve.org/). It helps you create a comprehensive, customizable, and secure REST (graph) API on top of pluggable backend storages with no boiler plate code so can focus on your business logic. Implemented as a net/http middleware, it plays well with other middleware like CORS (http://github.com/cool-rest/cors) and is net/context aware thanks to xhandler. REST Layer is an opinionated framework. Unlike many API frameworks, you don’t directly control the routing and you don’t have to write handlers. You just define resources and sub-resources with a schema, the framework automatically figures out what routes to generate behind the scene. You don’t have to take care of the HTTP headers and response, JSON encoding, etc. either. REST layer handles HTTP conditional requests, caching, integrity checking for you. A powerful and extensible validation engine make sure that data comes pre-validated to your custom storage handlers. Generic resource handlers for MongoDB (http://github.com/cool-rest/rest-layer-mongo), ElastiSearch (http://github.com/cool-rest/rest-layer-es) and other databases are also available so you have few to no code to write to make the whole system work. Moreover, REST Layer let you create a graph API by linking resources between them. Thanks to its advanced field selection syntax (and coming support of GraphQL), you can gather resources and their dependencies in a single request, saving you from costly network roundtrips. REST Layer is composed of several sub-packages: See https://github.com/cool-rest/rest-layer/blob/master/README.md for full REST Layer documentation.
Readme
FAQs
Package restlayer is an API framework heavily inspired by the excellent Python Eve (http://python-eve.org/). It helps you create a comprehensive, customizable, and secure REST (graph) API on top of pluggable backend storages with no boiler plate code so can focus on your business logic. Implemented as a net/http middleware, it plays well with other middleware like CORS (http://github.com/cool-rest/cors) and is net/context aware thanks to xhandler. REST Layer is an opinionated framework. Unlike many API frameworks, you don’t directly control the routing and you don’t have to write handlers. You just define resources and sub-resources with a schema, the framework automatically figures out what routes to generate behind the scene. You don’t have to take care of the HTTP headers and response, JSON encoding, etc. either. REST layer handles HTTP conditional requests, caching, integrity checking for you. A powerful and extensible validation engine make sure that data comes pre-validated to your custom storage handlers. Generic resource handlers for MongoDB (http://github.com/cool-rest/rest-layer-mongo), ElastiSearch (http://github.com/cool-rest/rest-layer-es) and other databases are also available so you have few to no code to write to make the whole system work. Moreover, REST Layer let you create a graph API by linking resources between them. Thanks to its advanced field selection syntax (and coming support of GraphQL), you can gather resources and their dependencies in a single request, saving you from costly network roundtrips. REST Layer is composed of several sub-packages: See https://github.com/cool-rest/rest-layer/blob/master/README.md for full REST Layer documentation.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Cyber extortion in the US and Canada hit record levels in 2023, with ransomware attacks surging and median ransom demands skyrocketing, though fewer companies are choosing to pay ransoms.
Security News
Ecma TC39 is meeting this week and has moved key ECMAScript proposals forward, advancing Deferred Import Evaluation, Error.isError(), RegExp Escaping, and Promise.try to the next stages.
Security News
Researchers have demonstrated that teams of LLM agents can exploit zero-day vulnerabilities with a 53% success rate, and the costs of using AI to do so are rapidly becoming more affordable than hiring a human penetration tester.
