Software Alternatives, Accelerators & Startups

Insomnia REST VS OpenCV

Compare Insomnia REST VS OpenCV and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

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.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Insomnia REST Landing page
    Landing page //
    2023-10-05
  • OpenCV Landing page
    Landing page //
    2023-07-29

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.

OpenCV features and specs

  • Comprehensive Library
    OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
  • Cross-Platform Compatibility
    OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
  • Open Source
    Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
  • Large Community Support
    A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
  • Real-Time Performance
    OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
  • Extensive Integration
    OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
  • Rich Collection of examples
    OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

  • Steep Learning Curve
    Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
  • Documentation Gaps
    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
  • Resource Intensive
    Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
  • Limited High-Level Abstractions
    OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
  • Dependency Management
    Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
  • Backward Compatibility Issues
    With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

Insomnia REST videos

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

More videos:

  • Tutorial - Insomnia REST Client Tutorial

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Insomnia REST and OpenCV)
API Tools
100 100%
0% 0
Data Science And Machine Learning
Developer Tools
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using Insomnia REST and OpenCV. 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 OpenCV

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

OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.

Social recommendations and mentions

Based on our record, Insomnia REST should be more popular than OpenCV. 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

OpenCV mentions (60)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 13 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 26 days ago
  • Why 2024 Was the Best Year for Visual AI (So Far)
    Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 5 months ago
  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 6 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago
View more

What are some alternatives?

When comparing Insomnia REST and OpenCV, you can also consider the following products

Postman - The Collaboration Platform for API Development

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Hoppscotch - Open source API development ecosystem

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python