Software Alternatives, Accelerators & Startups

Insomnia REST VS Machine Learning Playground

Compare Insomnia REST VS Machine Learning Playground and see what are their differences

Insomnia REST logo Insomnia REST

Design, debug, test, and mock APIs locally, on Git, or cloud. Build better APIs collaboratively for the most popular protocols with a dev‑friendly UI, built-in automation, and an extensible plugin ecosystem.

Machine Learning Playground logo Machine Learning Playground

Breathtaking visuals for learning ML techniques.
  • Insomnia REST Landing page
    Landing page //
    2023-10-05
  • Machine Learning Playground Landing page
    Landing page //
    2019-02-04

Insomnia REST features and specs

  • User-Friendly Interface
    Insomnia REST features a clean and intuitive user interface that makes it easy to create, send, and manage API requests without a steep learning curve.
  • Support for Multiple Protocols
    In addition to REST, Insomnia supports GraphQL and gRPC, making it versatile for developers working with different API protocols.
  • Environment Management
    Insomnia allows you to create and manage multiple environments, making it easier to switch between staging, development, and production settings.
  • Custom Plugins and Themes
    Insomnia supports custom plugins and themes, allowing users to extend its functionality and personalize the interface to suit their workflow.
  • Collaboration Features
    With Insomnia Teams, users can collaborate and share API requests, environments, and other resources, enhancing team productivity.
  • Cross-Platform Availability
    Insomnia is available on multiple platforms, including Windows, macOS, and Linux, providing flexibility for users on different operating systems.

Possible disadvantages of Insomnia REST

  • Resource Heavy
    Some users have reported that Insomnia can be resource-intensive, leading to potential performance issues on lower-end machines.
  • Limited Free Features
    While Insomnia offers a free tier, some of the more advanced features, such as team collaboration and sync capabilities, require a paid subscription.
  • Steeper Learning Curve for Advanced Features
    Although the basic functionalities are user-friendly, mastering the more advanced features might require a steeper learning curve.
  • Dependency on Electron
    Since Insomnia is built on Electron, it might consume more memory and disk space compared to native applications.
  • Complex Plugin System
    While the plugin system is powerful, it can be complex and challenging for users who are not familiar with JavaScript and Node.js.

Machine Learning Playground features and specs

  • User-Friendly Interface
    The platform offers an intuitive, easy-to-navigate interface that caters to both beginners and experienced machine learning practitioners.
  • Interactive Learning
    Users can experiment with various machine learning models in real-time, which facilitates hands-on learning and understanding of concepts.
  • No Installation Required
    Since it's a web-based platform, there is no need to install additional software, making it easily accessible from any device with an internet connection.
  • Pre-configured Environments
    The ML Playground provides pre-configured environments and datasets, saving time and effort in setting up the initial stages of a project.
  • Community Support
    A supportive community and plenty of resources are available to help users resolve issues or get guidance on their projects.

Possible disadvantages of Machine Learning Playground

  • Limited Customization
    The platform might not offer the depth of customization and flexibility required for more advanced or specialized machine learning projects.
  • Performance Constraints
    Being a web-based tool, it may face performance limitations when dealing with very large datasets or computationally intensive models.
  • Dependence on Internet Connection
    Since it is online, users are dependent on a stable internet connection, which could be a hindrance in areas with poor connectivity.
  • Data Privacy
    Uploading sensitive data to an online platform could pose privacy risks, which might be a concern for users handling confidential information.
  • Feature Limitations
    Certain advanced features and functionalities available in more comprehensive machine learning environments might be missing or limited on this platform.

Insomnia REST videos

3 Reasons to use Insomnia REST Client in your Exploratory API Testing

More videos:

  • Tutorial - Insomnia REST Client Tutorial

Machine Learning Playground videos

Machine Learning Playground Demo

Category Popularity

0-100% (relative to Insomnia REST and Machine Learning Playground)
API Tools
100 100%
0% 0
AI
0 0%
100% 100
Developer Tools
71 71%
29% 29
APIs
100 100%
0% 0

User comments

Share your experience with using Insomnia REST and Machine Learning Playground. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Insomnia REST and Machine Learning Playground

Insomnia REST Reviews

Top 20 Open Source & Cloud Free Postman Alternatives (2024 Updated)
Product Introduction: Insomnia is a powerful open-source API client designed for simplicity and efficiency and works great as a postman alternative. It supports REST, GraphQL, and gRPC, making it versatile for various API types.
Source: medium.com
Best Postman Alternatives To Consider in 2025
It is a free, open-source platform that boasts a user-friendly interface and robust features like environment and collection management, code snippets, and test automation. Compared to Postman, Insomnia offers a lighter footprint and a more customizable workspace.
Postman Alternatives for API Testing and Monitoring
Insomnia is a user-friendly tool for API development and testing. Insomnia allows creating and sending HTTP and REST requests, like GET, POST, PUT, DELETE, and more. Users can view API responses, including status codes, headers, and body. This enables understanding how the application handles different response scenarios, for efficient debugging.
Top 10 HTTP Client and Web Debugging Proxy Tools (2023)
Insomnia REST is the best alternative for Postman. It has more than 350 open-source plugins, plus GraphQL built-in with multiple protocol support. Since GraphQL is an added value, you can fully automate the entire lifecycle of APIs, build and debug them efficiently and with ease.
15 Best Postman Alternatives for Automated API Testing [2022 Updated]
Insomnia by Kong enables you to deliver high-quality APIs through collaboration. This postman alternative also includes testing suites, which allow you to create functional tests and centralize APIs. With this platform’s streamlined API client, sending GraphQL, REST, and SOAP requests are simple. Defining variables such as authentication credentials allows you to manage...
Source: testsigma.com

Machine Learning Playground Reviews

We have no reviews of Machine Learning Playground yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Insomnia REST seems to be more popular. It has been mentiond 129 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Insomnia REST mentions (129)

View more

Machine Learning Playground mentions (0)

We have not tracked any mentions of Machine Learning Playground yet. Tracking of Machine Learning Playground recommendations started around Mar 2021.

What are some alternatives?

When comparing Insomnia REST and Machine Learning Playground, you can also consider the following products

Postman - The Collaboration Platform for API Development

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Hoppscotch - Open source API development ecosystem

Lobe - Visual tool for building custom deep learning models

RapidAPI for Mac - Paw is a REST client for Mac.

Apple Machine Learning Journal - A blog written by Apple engineers