Google Cloud Natural Language API vs Postman

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Google Cloud Natural Language API
Google Cloud Natural Language API

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Google Cloud Natural Language API vs Postman: What are the differences?

Developers describe Google Cloud Natural Language API as "Derive insights from unstructured text using Google machine learning". You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage. On the other hand, Postman is detailed as "Only complete API development environment". Postman is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Google Cloud Natural Language API can be classified as a tool in the "NLP / Sentiment Analysis" category, while Postman is grouped under "API Tools".

- No public GitHub repository available -
- No public GitHub repository available -

What is Google Cloud Natural Language API?

You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.

What is Postman?

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
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Why do developers choose Google Cloud Natural Language API?
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      What are some alternatives to Google Cloud Natural Language API and Postman?
      SpaCy
      It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
      rasa NLU
      rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
      Gensim
      It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
      Amazon Comprehend
      Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
      Wit
      Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.
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      Decisions about Google Cloud Natural Language API and Postman
      Noah Zoschke
      Noah Zoschke
      Engineering Manager at Segment · | 29 upvotes · 139.1K views
      atSegmentSegment
      Swagger UI
      Swagger UI
      ReadMe.io
      ReadMe.io
      Markdown
      Markdown
      Postman
      Postman
      #QA
      #Api
      #Documentation

      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.

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      Jagdeep Singh
      Jagdeep Singh
      Tech Lead at ucreate.it · | 7 upvotes · 17.1K views
      atucreateucreate
      Postman
      Postman

      I use Postman because of the ease of team-management, using workspaces and teams, runner, collections, environment variables, test-scripts (post execution), variable management (pre and post execution), folders (inside collections, for better management of APIs), newman, easy-ci-integration (and probably a few more things that I am not able to recall right now).

      See more
      Nicholas Rogoff
      Nicholas Rogoff
      at Avanade UK Ltd. · | 7 upvotes · 52.9K views
      atNHS Digital (NHS.UK)NHS Digital (NHS.UK)
      Visual Studio
      Visual Studio
      Visual Studio Code
      Visual Studio Code
      Newman
      Newman
      Postman
      Postman
      Azure DevOps
      Azure DevOps
      Git
      Git
      jQuery
      jQuery
      JavaScript
      JavaScript
      Microsoft SQL Server
      Microsoft SQL Server
      C#
      C#
      .NET Core
      .NET Core

      Secure Membership Web API backed by SQL Server. This is the backing API to store additional profile and complex membership metadata outside of an Azure AD B2C provider. The front-end using the Azure AD B2C to allow 3rd party trusted identity providers to authenticate. This API provides a way to add and manage more complex permission structures than can easily be maintained in Azure AD.

      We have .Net developers and an Azure infrastructure environment using server-less functions, logic apps and SaaS where ever possible. For this service I opted to keep it as a classic WebAPI project and deployed to AppService.

      • Trusted Authentication Provider: @AzureActiveDirectoryB2C
      • Frameworks: .NET Core
      • Language: C# , Microsoft SQL Server , JavaScript
      • IDEs: Visual Studio Code , Visual Studio
      • Libraries: jQuery @EntityFramework, @AutoMapper, @FeatureToggle , @Swashbuckle
      • Database: @SqlAzure
      • Source Control: Git
      • Build and Release Pipelines: Azure DevOps
      • Test tools: Postman , Newman
      • Test framework: @nUnit, @moq
      • Infrastructure: @AzureAppService, @AzureAPIManagement
      See more
      Jason Barry
      Jason Barry
      Cofounder at FeaturePeek · | 4 upvotes · 24.4K views
      atFeaturePeekFeaturePeek
      Dropbox
      Dropbox
      Paw
      Paw
      Postman
      Postman
      Insomnia REST Client
      Insomnia REST Client

      We've tried a couple REST clients over the years, and Insomnia REST Client has won us over the most. Here's what we like about it compared to other contenders in this category:

      • Uncluttered UI. Things are only in your face when you need them, and the app is visually organized in an intuitive manner.
      • Native Mac app. We wanted the look and feel to be on par with other apps in our OS rather than a web app / Electron app (cough Postman).
      • Easy team sync. Other apps have this too, but Insomnia's model best sets the "set and forget" mentality. Syncs are near instant and I'm always assured that I'm working on the latest version of API endpoints. Apps like Paw use a git-based approach to revision history, but I think this actually over-complicates the sync feature. For ensuring I'm always working on the latest version of something, I'd rather have the sync model be closer to Dropbox's than git's, and Insomnia is closer to Dropbox in that regard.

      Some features like automatic public-facing documentation aren't supported, but we currently don't have any public APIs, so this didn't matter to us.

      See more
      Interest over time
      Reviews of Google Cloud Natural Language API and Postman
      Avatar of sergiotapia
      Senior Software Engineer
      Review ofPostmanPostman

      If you're building an API service, this Chrome extension is a must-have. It'll let you ping your endpoints using a nice clean UI that's built right into Chrome. You can also share your previous requests - a simple way to 'document' your API if you're short on time.

      Avatar of DaneLyons
      Cofounder
      Review ofPostmanPostman

      If someone is having trouble shipping data to the Knowtify API, I almost always share my postman collection. Working through the issue from there is typically pretty easy.

      Avatar of jgentes
      Founder of StartupCommunity.org at The Social Business
      Review ofPostmanPostman

      Not much to say, it's the best free tool out there for testing APIs. Get it.

      How developers use Google Cloud Natural Language API and Postman
      Avatar of shridhardalavi
      shridhardalavi uses PostmanPostman

      Postman is a powerful tool for performing integration testing with your API. It allows for repeatable, reliable tests that can be automated and used in a variety of environments and includes useful tools for persisting data and simulating how a user might actually be interacting with the system

      Avatar of Scrayos UG (haftungsbeschränkt)
      Scrayos UG (haftungsbeschränkt) uses PostmanPostman

      We use Postman in conjunction with our universal REST-API "JCVortex". Postman makes testing edge-cases hassle-free and lets testing look easy. Postman was also a great help to explore the Mojang-API, that we are dependent on, because it is the central repository for minecraft-account-data.

      Avatar of Rashid Muhammad
      Rashid Muhammad uses PostmanPostman

      I use it for testing my Web Api. It's a easy tool for interacting with a RESTFul API and provides great tools for organizing requests. The Newman tool is great for allowing your tests to run in a CI/CD pipeline.

      Avatar of Xpertz
      Xpertz uses PostmanPostman

      Used to test API endpoints and monitor API which also acts as an API heartbeat to keep functions alive in Google Cloud in order to avoid timeout responses to Slack.

      Avatar of David Flynn
      David Flynn uses PostmanPostman

      We use Postman for all our API testing. Postman is invaluable. We would like to have a team licence so that we can use shared work spaces and test collections.

      How much does Google Cloud Natural Language API cost?
      How much does Postman cost?
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