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JAWS VS assertpy

Compare JAWS VS assertpy and see what are their differences

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JAWS logo JAWS

Javascript + AWS Stack รขย€ย“ A server-free, webapp boilerplate using bleeding-edge AWS services

assertpy logo assertpy

A straightforward assertion library for Python.
  • JAWS Landing page
    Landing page //
    2021-12-14
  • assertpy Landing page
    Landing page //
    2022-11-06

JAWS features and specs

  • Comprehensive Screen Reading
    JAWS provides robust screen reading capabilities that support a wide range of applications, making it useful for blind and low-vision users across different software interfaces.
  • Braille Display Compatibility
    The software offers compatibility with a variety of refreshable Braille displays, enhancing accessibility for users who prefer or require tactile output.
  • OCR Functionality
    JAWS includes optical character recognition (OCR) features that allow users to read text in inaccessible PDFs or other graphical content, broadening access to information.
  • Web and Document Navigation
    It provides efficient navigation tools for users to traverse web pages and documents easily, ensuring a more fluid and user-friendly experience.
  • Regular Updates
    JAWS receives regular updates and improvements to increase compatibility with newer software versions and operating systems, ensuring longevity and continued support.

Possible disadvantages of JAWS

  • Cost
    JAWS can be expensive for individual users or small organizations, which may limit access for some potential users.
  • Learning Curve
    New users may find JAWS complex and challenging to learn without dedicated training, especially for those unfamiliar with screen readers.
  • System Resource Usage
    The software may consume significant system resources, potentially affecting the performance of older or less powerful computers.
  • Compatibility Issues
    Occasionally, JAWS may not work optimally with newer or less common applications, requiring updates or workarounds.
  • Voice Options
    While JAWS offers several voice options, some users may find them less natural or engaging compared to other screen reader voices.

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

JAWS videos

Jaws - Movie Review

More videos:

  • Review - Why I Love Jaws
  • Review - Jaws 2 - Movie Review and Surprise!

assertpy videos

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Category Popularity

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Text To Speech
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Testing
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100% 100
Affiliate Marketing
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0% 0
Python
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User comments

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What are some alternatives?

When comparing JAWS and assertpy, you can also consider the following products

NVDA - A fast, functional free screen reader

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

Microsoft Narrator - Screen reader included in Microsoft Windows.

Orca Screen Reader - Orca is a free, open source, flexible, and extensible screen reader that provides access to the...

Thunder - Most VCs won't fund you.

Supernova screen reader - Screen Reader and Braille access for blind people