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Shifty VS assertpy

Compare Shifty VS assertpy and see what are their differences

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Shifty logo Shifty

More control over macOS Night Shift

assertpy logo assertpy

A straightforward assertion library for Python.
  • Shifty Landing page
    Landing page //
    2019-02-25
  • assertpy Landing page
    Landing page //
    2022-11-06

Shifty features and specs

  • User-Friendly Interface
    Shifty offers a clean and intuitive user interface, making it easy for users to navigate and manage their tasks efficiently.
  • Customization Options
    The platform provides a range of customization options allowing users to tailor the tool to fit their specific workflow and preferences.
  • Cross-Platform Compatibility
    Shifty is compatible with multiple platforms, enabling users to access their tasks from various devices seamlessly.
  • Real-Time Updates
    The tool supports real-time updates, ensuring that any changes made are immediately reflected across all users and devices.

Possible disadvantages of Shifty

  • Limited Features
    While effective for basic task management, Shifty may lack some advanced features offered by other similar tools.
  • Dependency on Internet
    Users need an internet connection to fully utilize Shiftyโ€™s services and access real-time updates, which can be limiting in offline scenarios.
  • Learning Curve for New Users
    Some new users might find the initial setup and understanding of Shiftyโ€™s functions challenging without proper guidance or tutorials.

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

Shifty videos

Review: Mr. Shifty (Steam & Switch) - Defunct Games

More videos:

  • Review - Mr. Shifty Video Review (Switch)
  • Review - 2020 ThirtyTwo Shifty BOA Snowboard Boots - 32

assertpy videos

No assertpy videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Shifty and assertpy)
Mac
100 100%
0% 0
Testing
0 0%
100% 100
Productivity
100 100%
0% 0
Python
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Shifty seems to be more popular. It has been mentiond 3 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.

Shifty mentions (3)

  • Lunar [$8 off coupons] - adaptive brightness for external monitors
    Night Shift + Shifty is a much better choice than f.lux nowadays anyway. Source: over 3 years ago
  • f.lux
    It works better than f.lux for me, because it works at a lower level than Gamma table manipulation. Iโ€™ve been using Night Shift ever since it was released and I like its color rendering more than f.lux. But itโ€™s subjective, some people like the extreme warmth of f.lux more. It depends on how you perceive colors and how well you can adjust to warmer colors. Shifty is also a very nice addition if you want more... - Source: Hacker News / over 4 years ago
  • f.lux
    Lunar developer here. Thanks for mentioning it! Just a note to avoid confusion: Lunar serves a completely different purpose than f.lux. f.lux changes the colour temperature by altering the Gamma tables. Lunar's main function is controlling the hardware brightness/contrast/volume/input/colors of external monitors using DDC and private macOS methods. Macos also has native approach to f.lux called Night Shift. I use... - Source: Hacker News / over 4 years ago

assertpy mentions (0)

We have not tracked any mentions of assertpy yet. Tracking of assertpy recommendations started around Mar 2021.

What are some alternatives?

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

f.lux - f. lux is a piece of software for Windows, Mac, Linux, iOS, and Android that provides a blue light filter over your screen. Research suggests limiting our exposure to blue light in the hours before bedtime can help us fall asleep faster.

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

Flux - Application Architecture for Building User Interfaces

Lumen Framework - The stunningly fast micro-framework by Laravel.

Darkness: Beautiful Dark Themes - Chrome extension that provides beautiful dark themes for Facebook, Google and more.

Mata - The night vision for the web. Read easier on the eyes.