Google Cloud Endpoints vs Paw

Overview

Google Cloud Endpoints

Stacks36

Followers149

Votes1

Paw

Stacks233

Followers277

Votes164

Google Cloud Endpoints vs Paw: What are the differences?

Introduction: Google Cloud Endpoints and Paw are both API development tools that serve different purposes and have unique features. In this comparison, we will explore the key differences between the two tools.

Usage: Google Cloud Endpoints is specifically designed for the development, deployment, and management of APIs on Google Cloud Platform, whereas Paw is a more versatile tool that can be used to test and design APIs for any platform.
Authentication: Google Cloud Endpoints provides built-in support for Google API keys and OAuth 2.0, making it seamless to authenticate and secure your APIs. Paw, on the other hand, offers a wide range of authentication methods including OAuth, Basic Auth, and JWT, giving users more flexibility in securing their APIs.
Integration: Google Cloud Endpoints seamlessly integrates with other Google Cloud services such as Firebase, Cloud Functions, and App Engine, making it easier to build end-to-end solutions using Google's ecosystem. In contrast, Paw has a rich library of extensions and plugins that allow users to integrate with various third-party services and tools, expanding its functionality beyond API development.
Mocking and Testing: Paw offers robust mocking and testing capabilities, allowing users to simulate different scenarios and responses before deploying their APIs. Google Cloud Endpoints, on the other hand, provides limited mocking and testing features, focusing more on API deployment and management rather than local development and testing.
Pricing: Google Cloud Endpoints is a part of the Google Cloud Platform, and its pricing is based on usage and the resources consumed by the APIs deployed. Paw, on the other hand, offers a one-time purchase fee for the tool itself, with no additional costs for using the features or services.
Collaboration: Paw enables collaboration among team members by providing features like shared environments and syncable files, allowing multiple users to work on the same API project simultaneously. Google Cloud Endpoints lacks robust collaboration tools, making it less suitable for team-based API development and management.

In summary, Google Cloud Endpoints is focused on Google Cloud Platform integration, authentication, and deployment, whereas Paw offers versatility, rich features, and collaboration options for API development on any platform.

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CLI (Node.js)

Manual

Detailed Comparison

Google Cloud Endpoints	Paw
An NGINX-based proxy and distributed architecture give unparalleled performance and scalability. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development and provides insight with Google Cloud Monitoring, Cloud Trace, Google Cloud Logging and Cloud Trace.	Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.
-	Organize your Requests, make Groups or sort by Host, Name, etc.;Easily build your requests, enjoy Formatters and Dynamic Values.;See Request and Response infos, headers, and body.;View formatted or raw HTTP Requests and Responses.;JSON Outline Viewer and Editor.;Paw supports OAuth 1 & 2, HTTP Basic Auth and Amazon S3;Paw generates ready-to-use client code
Statistics
Stacks 36	Stacks 233
Followers 149	Followers 277
Votes 1	Votes 164
Pros & Cons
Pros 1 Android Integration	Pros 46 Great interface 37 Easy to use 25 More stable and performant than the others 16 Saves endpoints list for testing 13 Supports environment variables Cons 3 It's not free 2 MacOS Only
Integrations
Google App Engine Google Compute Engine Google Kubernetes Engine	No integrations available

What are some alternatives to Google Cloud Endpoints, Paw?

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

RAML

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

Apigee

API management, design, analytics, and security are at the heart of modern digital architecture. The Apigee intelligent API platform is a complete solution for moving business to the digital world.

Hoppscotch

It is a free, fast and beautiful API request builder. It helps you create requests faster, saving precious time on development

Falcor

Falcor lets you represent all your remote data sources as a single domain model via a virtual JSON graph. You code the same way no matter where the data is, whether in memory on the client or over the network on the server.

DuckRails

DuckRails is an open source development tool that helps developer mock API endpoints quickly & dynamically outside the application code.

Related Comparisons

Google Cloud Endpoints vs Paw: What are the differences?

Usage: Google Cloud Endpoints is specifically designed for the development, deployment, and management of APIs on Google Cloud Platform, whereas Paw is a more versatile tool that can be used to test and design APIs for any platform.
Authentication: Google Cloud Endpoints provides built-in support for Google API keys and OAuth 2.0, making it seamless to authenticate and secure your APIs. Paw, on the other hand, offers a wide range of authentication methods including OAuth, Basic Auth, and JWT, giving users more flexibility in securing their APIs.
Integration: Google Cloud Endpoints seamlessly integrates with other Google Cloud services such as Firebase, Cloud Functions, and App Engine, making it easier to build end-to-end solutions using Google's ecosystem. In contrast, Paw has a rich library of extensions and plugins that allow users to integrate with various third-party services and tools, expanding its functionality beyond API development.
Mocking and Testing: Paw offers robust mocking and testing capabilities, allowing users to simulate different scenarios and responses before deploying their APIs. Google Cloud Endpoints, on the other hand, provides limited mocking and testing features, focusing more on API deployment and management rather than local development and testing.
Pricing: Google Cloud Endpoints is a part of the Google Cloud Platform, and its pricing is based on usage and the resources consumed by the APIs deployed. Paw, on the other hand, offers a one-time purchase fee for the tool itself, with no additional costs for using the features or services.
Collaboration: Paw enables collaboration among team members by providing features like shared environments and syncable files, allowing multiple users to work on the same API project simultaneously. Google Cloud Endpoints lacks robust collaboration tools, making it less suitable for team-based API development and management.

Google Cloud Endpoints vs Paw

Overview