StackShare
May 1, 2019
Needs advice
382k views382k
CommentsAzure Search vs Swagger UI
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Advice on Azure Search, Swagger UI
Detailed Comparison
Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios. | Swagger UI is a dependency-free collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation and sandbox from a Swagger-compliant API |
Powerful, reliable performance;Easily tune search indices to meet business goals;Scale out simply;Enable sophisticated search functionality;Get up and running quickly;Simplify search index management | The UI works in any development environment, be it locally or in the web;Allow end developers to effortlessly interact and try out every single operation your API exposes for easy consumption;Quickly find and work with resources and endpoints with neatly categorized documentation;Cater to every possible scenario with Swagger UI working in all major browsers |
Statistics | |
GitHub Stars - | GitHub Stars 28.3K |
GitHub Forks - | GitHub Forks 9.2K |
Stacks 84 | Stacks 2.1K |
Followers 224 | Followers 1.8K |
Votes 16 | Votes 207 |
Pros & Cons | |
Pros
| Pros
Cons
|
Integrations | |
What are some alternatives to Azure Search, Swagger UI?
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Algolia
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
Apiary
It takes more than a simple HTML page to thrill your API users. The right tools take weeks of development. Weeks that apiary.io saves.
ReadMe.io
It is an easy-to-use tool to help you build out documentation! Each documentation site that you publish is a project where there is space for documentation, interactive API reference guides, a changelog, and much more.
Typesense
It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.
Docusaurus
Docusaurus is a project for easily building, deploying, and maintaining open source project websites.
Amazon CloudSearch
Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.
Amazon Elasticsearch Service
Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.
Read the Docs
It hosts documentation, making it fully searchable and easy to find. You can import your docs using any major version control system, including Mercurial, Git, Subversion, and Bazaar.
