Google Cloud Natural Language API vs Postman

Need advice about which tool to choose?Ask the StackShare community!

Google Cloud Natural Language API

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Postman

66.2K
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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".

Advice on Google Cloud Natural Language API and Postman
Needs advice
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PostmanPostmanApiaryApiary
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Swagger UISwagger UI

From a StackShare Community member: "I just started working for a start-up and we are in desperate need of better documentation for our API. Currently our API docs is in a README.md file. We are evaluating Postman and Swagger UI. Since there are many options and I was wondering what other StackSharers would recommend?"

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Replies (3)
Jagdeep Singh
Tech Lead at ucreate.it · | 8 upvotes · 200.3K views

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).

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I use Swagger UI because it's an easy tool for end-consumers to visualize and test our APIs. It focuses on that ! And it's directly embedded and delivered with the APIs. Postman's built-in tools aren't bad, but their main focus isn't the documentation and also, they are hosted outside the project.

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Sadik Ay
Recommends
PostmanPostman

I recommend Postman because it's easy to use with history option. Also, it has very great features like runner, collections, test scripts runners, defining environment variables and simple exporting and importing data.

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Decisions about Google Cloud Natural Language API and Postman
Stephen Fox
Artificial Intelligence Fellow · | 1 upvote · 179.1K views

Postman supports automation and organization in a way that Insomnia just doesn't. Admittedly, Insomnia makes it slightly easy to query the data that you get back (in a very MongoDB-esque query language) but Postman sets you up to develop the code that you would use in development/testing right in the editor.

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Pros of Google Cloud Natural Language API
Pros of Postman
    Be the first to leave a pro
    • 486
      Easy to use
    • 369
      Great tool
    • 275
      Makes developing rest api's easy peasy
    • 156
      Easy setup, looks good
    • 143
      The best api workflow out there
    • 53
      It's the best
    • 53
      History feature
    • 44
      Adds real value to my workflow
    • 42
      Great interface that magically predicts your needs
    • 34
      The best in class app
    • 11
      Can save and share script
    • 9
      Fully featured without looking cluttered
    • 7
      Option to run scrips
    • 7
      Collections
    • 7
      Global/Environment Variables
    • 6
      Dead simple and useful. Excellent
    • 6
      Dark theme easy on the eyes
    • 6
      Shareable Collections
    • 5
      Great integration with newman
    • 5
      Awesome customer support
    • 4
      Documentation
    • 4
      The test script is useful
    • 4
      Simple
    • 3
      Makes testing API's as easy as 1,2,3
    • 3
      Easy as pie
    • 3
      Saves responses
    • 3
      This has simplified my testing significantly
    • 2
      API-network
    • 2
      Mocking API calls with predefined response
    • 2
      I'd recommend it to everyone who works with apis
    • 1
      Graph
    • 1
      Pre-request Script and Test attributes are invaluable
    • 1
      Continuous integration using newman
    • 1
      Now supports GraphQL
    • 1
      Postman Runner CI Integration
    • 1
      Easy to setup, test and provides test storage
    • 0
      Runner
    • 0
      <a href="http://fixbit.com/">useful tool</a>

    Sign up to add or upvote prosMake informed product decisions

    Cons of Google Cloud Natural Language API
    Cons of Postman
    • 2
      Multi-lingual
    • 9
      Stores credentials in HTTP
    • 7
      Poor GraphQL support
    • 7
      Bloated features and UI
    • 6
      Cumbersome to switch authentication tokens
    • 2
      Expensive
    • 1
      Support websocket
    • 1
      Import curl
    • 1
      Import swagger
    • 1
      Can't prompt for per-request variables

    Sign up to add or upvote consMake informed product decisions

    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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Google Cloud Natural Language API?
    What companies use Postman?
    See which teams inside your own company are using Google Cloud Natural Language API or Postman.
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    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Google Cloud Natural Language API?
    What tools integrate with Postman?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    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.
    Transformers
    It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
    See all alternatives