hateoas-client.js is a library (for browser+nodejs) to communicate with RESTful services. It uses jQuery as ajax library. It's aim is to provide a very simple API to follow the links defined in a request response, thus achieving level 3 in Richardson Maturity Model. This example retrieves the most viewed videos from youtube, navigates 2x next, chooses the first element (because of empty filter{}), navigates to it's self link and finally: returns the
Tags | rest hateoas api json hal atom xml |
Implementation | Javascript |
License | MIT |
Platform | OS-Independent |
This project is a command-line shell that aims to make writing REST-based applications easier. It is based on spring-shell and integrated with Spring HATEOAS in such a way that REST resources that output JSON compliant with Spring HATEOAS can be discovered by the shell and interactions with the REST resources become much easier than by manipulating the URLs in bash using a tool like curl.The rest-shell provides a number of useful commands for discovering and interacting with REST resources. For example discover will discover what resources are available and print out an easily-readable table of rels and URIs that relate to those resources. Once these resources have been discovered, the rel of those URIs can be used in place of the URI itself in most operations, thus cutting down on the amount of typing needed to issue HTTP requests to your REST resources.
Hello! 👋 This repository contains an example API written in C# and ASP.NET Core 1.1. It uses the Ion hypermedia specification as a starting point to model a consistent, clean REST API that embraces HATEOAS. I use this example in my talk Building beautiful RESTful APIs with ASP.NET Core (follow the link to download the slides).
rest api ion aspnetcore hateoasA PHP library to support implementing representations for HATEOAS REST web services. This will resolve the latest stable version.
API Platform is a set of tools to build and consume web APIs. API Platform embraces open web standards (Swagger, JSON-LD, GraphQL, Hydra, HAL, JWT, OAuth, HTTP...) and the Linked Data movement. Your API will automatically expose structured data in Schema.org/JSON-LD. It means that your API Platform application is usable out of the box with technologies of the semantic web.
api-framework rest graphql json-ld swagger hydra-api hal hypermedia-api hypermedia-client symfony symfony-bundle react schema-org graphql-server graphql-api hydra rest-frameworkCommand-line shell for interacting with Spring HATEOAS-compliant REST resources
Library to support implementing representations for hyper-text driven REST web services.
Simple REST and HTTP API Client for .NET
rest-client http-client restSpring HATEOAS - Library to support implementing representations for hyper-text driven REST web services.
Build scalable REST APIs using the open source tools and standards you and your team already know — Mongoose, Express, and Node.js streams. Baucis takes the boilerplate out of building and maintaining scalable HATEOAS/Level 3 REST APIs. Baucis has tens of thousands of users and is used in production by startups, departments, and Fortune 500 companies, and at hackathons and conferences worldwide. MongoDB, Inc. awarded baucis first place in their 2014 Open Source Hack Contest.
rest restful api express mongoose schema schemata model mde mongo rfc2616 web httpAPI Platform Core is an easy to use and powerful system to create hypermedia-driven REST APIs. It is a component of the API Platform framework and it can be integrated with the Symfony framework using the bundle distributed with the library. It natively supports popular open formats including JSON for Linked Data (JSON-LD), Hydra Core Vocabulary, Swagger (OpenAPI), HAL and HTTP Problem.
api rest graphql json-ld swagger hydra-api hal jsonapi symfony symfony-bundle hypermediaApache Juneau is a single cohesive Java ecosystem consisting of the following parts juneau-marshall, juneau-dto, juneau-svl, juneau-config, juneau-rest-server, juneau-rest-client, juneau-microservice.
serialization pojo rest-server rest-client microserviceFlask-Marshmallow is a thin integration layer for Flask (a Python web framework) and marshmallow (an object serialization/deserialization library) that adds additional features to marshmallow, including URL and Hyperlinks fields for HATEOAS-ready APIs. It also (optionally) integrates with Flask-SQLAlchemy. Create your app.
flask marshmallow rest-api python-3 python-2 sqlalchemySwagger Client is a JavaScript module that allows you to fetch, resolve, and interact with Swagger/OpenAPI documents. This is the new version of swagger-js, 3.x. The new version supports Swagger 2.0 as well as OpenAPI 3.
swagger swagger-js swagger-api rest rest-api openapi-specification oai js spec resolver json-refsRESTEasy is a JBoss project that provides various frameworks to help you build RESTful Web Services and RESTful Java applications. It is a portable implementation of the JAX-RS specification. JAX-RS is a JCP specification that provides a Java API for RESTful Web Services over the HTTP protocol. It is portable to Tomcat and many other app-server. It has rich set of providers for: XML, JSON, YAML, Fastinfoset, Multipart, XOP, Atom, etc.
rest restful-service rest-framework web-services jax-rs jax-wsAtom-Beautify respects the core.telemetryConsent configuration option from Atom editor. If you do not wish to have usage data sent to Google Analytics then please set core.telemetryConsent to no or undecided option before using Atom-Beautify. See Anonymous Analytics section of docs for details. Thank you. Atom-Beautify is going to be completely rewritten with Unibeautify at its core! See unibeautify branch for work in progress and Issue #1174.
atom beautifier formatter coffeescript beautify prettifier prettify js-beautify format pretty html handlebars mustache xml css json sass scss less sql markdown typescript cpp c-sharp coldfusion uncrustify apex pawn vala erb editorconfig yaml front-matter jekyll marko svg elm arduino crystal csv ejs gherkin haskell hindent brittany jade jsx latex ocaml puppet riot.js spacebars swig tss twig visualforce xtemplate autopep8 coffee-formatter coffee-fmt clang-format dfmt elm-format html-beautifier csscomb gherkin-formatter gofmt latex-beautify fortran-beautifier jscs-fixer eslint eslint-fixer lua-beautifier ocp-indent perltidy php-cs-fixer phpcbf pretty-diff pug-beautify puppet-lint r remark rubocop ruby-beautify rustfmt sqlformat stylish-haskell tidy-markdown typescript-formatter yapf erl_tidy marko-beautifier vue vue-beautifier sassconvert formatr clojure-beautifier nunjucks ux-markup pybeautifier cljfmt bash beautysh glsl hh_format nginx nginx-beautify golang-template align-yaml goimports terraform terraformfmt tsx prettier verilog emacs-verilog-mode vhdl vhdl-beautifier gn bladeMore detail about HAL can be found at http://stateless.co/hal_specification.html. By default, the HAL Browser can’t assume there is any metadata. When you click on the non-GET request button (to create a new resource), the user must enter the JSON document to submit. If your service includes metadata you can access, it’s possible to plugin a custom view that makes use of it.
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats) for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data.
dataviz pandas django rest-api django-rest-framework spreadsheet chart excel csvA set of Cucumber step definitions utilizing Rack-Test that ease basic testing of REST-style APIs using either XML or JSON formats. Adapted from a blog post by Anthony Eden with a few additions based on my own needs. I found myself copying these step definitions around to multiple projects, and decided that it would be worthwhile to gem them up to keep things nice and DRY.
Simple Salesforce is a basic Salesforce.com REST API client built for Python 2.6, 2.7, 3.3 and 3.4. The goal is to provide a very low-level interface to the REST Resource and APEX API, returning a dictionary of the API JSON response.
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