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Sphinx
Sphinx

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Swagger UI
Swagger UI

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Sphinx vs Swagger UI: What are the differences?

Developers describe Sphinx as "Open source full text search server, designed from the ground up with performance, relevance (aka search quality), and integration simplicity in mind". Sphinx lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with Sphinx pretty much as with a database server. A variety of text processing features enable fine-tuning Sphinx for your particular application requirements, and a number of relevance functions ensures you can tweak search quality as well. On the other hand, Swagger UI is detailed as "dependency-free collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation". 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.

Sphinx belongs to "Search Engines" category of the tech stack, while Swagger UI can be primarily classified under "Documentation as a Service & Tools".

"Fast" is the primary reason why developers consider Sphinx over the competitors, whereas "Open Source" was stated as the key factor in picking Swagger UI.

Clever, triGo GmbH, and Hootsuite are some of the popular companies that use Swagger UI, whereas Sphinx is used by Webedia, Grooveshark, and Ansible. Swagger UI has a broader approval, being mentioned in 203 company stacks & 101 developers stacks; compared to Sphinx, which is listed in 38 company stacks and 13 developer stacks.

- No public GitHub repository available -

What is Sphinx?

It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.

What is Swagger UI?

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
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      What are some alternatives to Sphinx and Swagger UI?
      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).
      Solr
      Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
      Lucene
      Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
      Apache Solr
      It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.
      MkDocs
      It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.
      See all alternatives
      Decisions about Sphinx and Swagger UI
      Noah Zoschke
      Noah Zoschke
      Engineering Manager at Segment · | 29 upvotes · 207.2K views
      atSegmentSegment
      Postman
      Postman
      Markdown
      Markdown
      ReadMe.io
      ReadMe.io
      Swagger UI
      Swagger UI
      #Documentation
      #Api
      #QA

      We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. A public API is only as good as its #documentation. For the API reference doc we are using Postman.

      Postman is an “API development environment”. You download the desktop app, and build API requests by URL and payload. Over time you can build up a set of requests and organize them into a “Postman Collection”. You can generalize a collection with “collection variables”. This allows you to parameterize things like username, password and workspace_name so a user can fill their own values in before making an API call. This makes it possible to use Postman for one-off API tasks instead of writing code.

      Then you can add Markdown content to the entire collection, a folder of related methods, and/or every API method to explain how the APIs work. You can publish a collection and easily share it with a URL.

      This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.

      Postman’s powers don’t end here. You can automate Postman with “test scripts” and have it periodically run a collection scripts as “monitors”. We now have #QA around all the APIs in public docs to make sure they are always correct

      Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.

      Writing and maintaining a Postman collection takes some work, but the resulting documentation site, interactivity and API testing tools are well worth it.

      See more
      Tim Nolet
      Tim Nolet
      Founder, Engineer & Dishwasher at Checkly · | 7 upvotes · 61.1K views
      atChecklyHQChecklyHQ
      JavaScript
      JavaScript
      Node.js
      Node.js
      hapi
      hapi
      Vue.js
      Vue.js
      Swagger UI
      Swagger UI
      Slate
      Slate

      JavaScript Node.js hapi Vue.js Swagger UI Slate

      Two weeks ago we released the public API for Checkly. We already had an API that was serving our frontend Vue.js app. We decided to create an new set of API endpoints and not reuse the already existing one. The blog post linked below details what parts we needed to refactor, what parts we added and how we handled generating API documentation. More specifically, the post dives into:

      • Refactoring the existing Hapi.js based API
      • API key based authentication
      • Refactoring models with Objection.js
      • Validating plan limits
      • Generating Swagger & Slate based documentation
      See more
      Interest over time
      Reviews of Sphinx and Swagger UI
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      How developers use Sphinx and Swagger UI
      Avatar of Andrew Gatenby
      Andrew Gatenby uses SphinxSphinx

      We use Sphinx as the main search indexing system on our clients' websites. It's a more powerful system than we even scratch the surface of, and allows us to index data from a variety of sources.

      Avatar of GadgetSteve
      GadgetSteve uses SphinxSphinx

      Generate beautiful documentation from version controlled inputs

      Avatar of p009922
      p009922 uses Swagger UISwagger UI

      documentation tool for online docu on the REST-Services

      Avatar of PlushForums
      PlushForums uses SphinxSphinx

      Advanced full-text search.

      Avatar of dotmos
      dotmos uses Swagger UISwagger UI

      Document our REST API.

      Avatar of Minyoung Kim
      Minyoung Kim uses Swagger UISwagger UI

      REST API 도큐먼트 관리

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