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NumPy VS Insomnia REST

Compare NumPy VS Insomnia REST and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

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.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Insomnia REST Landing page
    Landing page //
    2023-10-05

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

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.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Analysis of Insomnia REST

Overall verdict

  • Insomnia REST is an excellent choice for developers who need a robust and intuitive tool for API development and testing. Its comprehensive features and ease of use make it a competitive option alongside other popular API clients.

Why this product is good

  • Insomnia REST is widely regarded as a powerful tool due to its user-friendly interface, extensive plugin ecosystem, and support for multiple authentication protocols. It allows users to easily build, debug, and test RESTful APIs with features like environment variables, code generation, and response validation. Moreover, its compatibility with GraphQL and gRPC makes it versatile for modern development needs.

Recommended for

  • API Developers
  • Software Testers
  • Backend Engineers
  • Technical Leads
  • Anyone involved in RESTful API development and testing

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Insomnia REST videos

+ Add

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

More videos:

  • Tutorial - Insomnia REST Client Tutorial

Category Popularity

0-100% (relative to NumPy and Insomnia REST)

NumPy

Insomnia REST

Data Science And Machine Learning
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Data Science And Machine Learning
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API Tools
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API Tools
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Data Science Tools
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Data Science Tools
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Developer Tools
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Developer Tools
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User comments

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Reviews

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

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

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.
Source: www.hypertest.co
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.
Source: www.blazemeter.com
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.
Source: www.bestproxyreviews.com
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

Social recommendations and mentions

Insomnia REST might be a bit more popular than NumPy. We know about 129 links to it since March 2021 and only 119 links to NumPy. 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.

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

Insomnia REST mentions (129)

View more

What are some alternatives?

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

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

Postman - The Collaboration Platform for API Development

OpenCV - OpenCV is the world's biggest computer vision library

Hoppscotch - Open source API development ecosystem

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

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

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