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Built for Mars VS assertpy

Compare Built for Mars VS assertpy and see what are their differences

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Built for Mars logo Built for Mars

A collection of UX case studies

assertpy logo assertpy

A straightforward assertion library for Python.
  • Built for Mars Landing page
    Landing page //
    2023-07-12
  • assertpy Landing page
    Landing page //
    2022-11-06

Built for Mars features and specs

  • Expert Analysis
    Built for Mars provides detailed and expert analysis of user experience design and product interfaces, making it valuable for designers seeking informed insights.
  • Comprehensive Reviews
    The platform offers thorough reviews of various digital products, allowing users to understand strengths and weaknesses from a UX perspective.
  • Educational Content
    Built for Mars offers educational content that is beneficial for both novice and experienced designers aiming to improve their design skills.
  • Engaging Visualization
    Utilizes engaging visualizations to convey UX findings, making complex information more digestible and accessible.

Possible disadvantages of Built for Mars

  • Limited Scope
    The analysis provided by Built for Mars may be limited to specific industries or product types, potentially leaving out broader design insights.
  • Subjectivity
    As with any analysis, the insights can be subjective and influenced by the analyst's perspective, which may not always align with all users' experiences.
  • Access Restrictions
    Certain content or reports may be behind paywalls or require subscriptions, which could restrict access for some users.
  • Update Frequency
    The frequency of updates or new analyses may not be sufficient for users looking for the latest UX trends and evaluations.

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

Built for Mars videos

Built for Mars | Peter Ramsey

More videos:

  • Review - Is the Perseverance Rover built for Mars? | Built For Mars | National Geographic
  • Review - Episode 004: Peter Ramsey, Founder of Built for Mars

assertpy videos

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Category Popularity

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Design Tools
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Testing
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User Experience
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Python
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User comments

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Social recommendations and mentions

Based on our record, Built for Mars seems to be more popular. It has been mentiond 7 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.

Built for Mars mentions (7)

  • Design is about experience: 5 UX trends to be aware of
    Maybe Iโ€™m looking in the wrong places but Iโ€™m tired of seeing numbered lists of โ€œDesign trends to look out for in 202Xโ€ with 4 sentences of text between them. I crave longer forms of writing that explains the design aspect of this field. (The only resource Iโ€™ve found satisfying was Built for Mars ). Source: over 3 years ago
  • Ask HN: How to learn design and UI/UX
    Some other recommendations: Donโ€™t Make me Think and Rocket Surgery Made Easy by Steve Krug https://builtformars.com/ UX case studies https://www.nngroup.com/ UX analyses and articles Coursera has some UX courses you can audit for free. - Source: Hacker News / over 3 years ago
  • portfolio tips and advices
    Consider that even if you don't have a big portfolio of work, you can do analysis of existing apps / websites / experiences, even a game. Take a look at the case studies here: https://builtformars.com/. Source: almost 4 years ago
  • Thought the Rotten Tomatoes mobile site could use a bit of work
    You might enjoy these case studies: builtformars.com They are slides + articles instead of video but very interesting and entertaining. Source: almost 4 years ago
  • Sources to start
    There are also nice walkthrough websites you can learn a lot from: Growth.design Built for Mars. Source: about 4 years ago
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assertpy mentions (0)

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

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