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PSST VS assertpy

Compare PSST VS assertpy and see what are their differences

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PSST logo PSST

Fast Spotify client with native GUI, without Electron, built in Rust.

assertpy logo assertpy

A straightforward assertion library for Python.
  • PSST Landing page
    Landing page //
    2023-09-12
  • assertpy Landing page
    Landing page //
    2022-11-06

PSST features and specs

  • Open Source
    PSST is open source, which means its code is publicly accessible, allowing users to contribute to its development or customize it according to their needs.
  • Privacy-Focused
    PSST does not require user credentials or store user data on external servers, emphasizing user privacy and security.
  • Cross-Platform
    PSST is designed to work across multiple platforms, including Linux, Windows, and macOS, making it versatile for different users.
  • Lightweight
    The application is lightweight and consumes minimal system resources, which is beneficial for users with limited hardware capabilities.

Possible disadvantages of PSST

  • Limited Features
    Compared to other Spotify clients, PSST may offer fewer features and functionalities, which might be restrictive for some users.
  • Development Stage
    Being an open-source project, it is still under active development, which could mean potential instability or unavailability of certain features.
  • Technical Knowledge Required
    Installation and configuration may require technical knowledge, which could be a hurdle for non-technical users.
  • Lack of Official Support
    As a third-party client, PSST does not have official support from Spotify, which might lead to compatibility issues with updates to Spotifyโ€™s service.

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

PSST videos

PSST IT's PROLOG for 7/15

More videos:

  • Review - PSST IT's PROLOG for 7/12
  • Review - PSST IT's PROLOG for 7/8

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 PSST and assertpy)
Music
100 100%
0% 0
Testing
0 0%
100% 100
Spotify
100 100%
0% 0
Python
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, PSST seems to be more popular. It has been mentiond 15 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.

PSST mentions (15)

  • Spotify-Qt
    On the other hand, this Rust-based one called Psst looks awesome and works: https://github.com/jpochyla/psst. - Source: Hacker News / over 3 years ago
  • This is the best Linux has ever been. Truly.
    Psst but currently very limited in features and have to build yourself. Source: over 3 years ago
  • fatal: not a git repository (or any of the parent directories): .git
    I don't know how can I install this open source software from github. Source: over 3 years ago
  • Flatpak Spotify vs Tab in Firefox browser
    Would like to add that you can also use clients such as spotify-qt and Spotify TUI to control said "device". There's also Spot and psst that are standalone (librespot not required but no Connect functionality). Source: over 3 years ago
  • Rust audio library
    You can also take a look at Psst. I use Symphonia for decoding and CPAL or CubeB for output. CubeB is a bit nicer. Source: almost 4 years ago
View more

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 PSST and assertpy, you can also consider the following products

Spot by Alexandre Trendel - Native Spotify client for the Gnome desktop

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

Spotify-qt - A Spotify client using Qt as a simpler, lighter alternative to the official client, inspired by spotify-tui.

Spotube - A Flutter based, lightweight, free Spotify ๐ŸŽง desktop-client ๐Ÿ–ฅ which handles playback manually, streams music using YouTube & bites data from SpotifyAPI.

Wakefy - Turn your Mac into a Spotify alarm clock.

Spotify - Map shows when two people play same song at same time