Software Alternatives, Accelerators & Startups

engineeringsuite VS assertpy

Compare engineeringsuite VS assertpy and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

engineeringsuite logo engineeringsuite

Program that solves numerically algebraic systems of non-linear, and linear, equations.

assertpy logo assertpy

A straightforward assertion library for Python.
  • engineeringsuite Landing page
    Landing page //
    2019-10-16
  • assertpy Landing page
    Landing page //
    2022-11-06

engineeringsuite features and specs

  • Open Source
    Engineeringsuite is an open-source software, which allows users to access and modify the source code to suit their specific needs. This provides flexibility and encourages community collaboration and improvements.
  • Free to Use
    Being hosted on Google Code Archive, Engineeringsuite is free to download and use, which makes it accessible for students, hobbyists, and professionals who are working with limited budgets.
  • Community Support
    Despite its archival status, there might still be community support in forums and previous documentation available online, which can help users troubleshoot issues and exchange knowledge.

Possible disadvantages of engineeringsuite

  • Archived Project
    Engineeringsuite is hosted on Google Code Archive, indicating that it is no longer actively maintained or updated, which can pose security risks and compatibility issues with modern systems.
  • Lack of Official Support
    There is no professional official support available for Engineeringsuite, which can be problematic if users encounter significant issues or bugs with the software.
  • Outdated Technology
    Since the project is archived, the technology stack used may be outdated, potentially leading to performance issues or incompatibility with newer hardware and operating systems.
  • Limited Documentation
    The documentation that exists might be limited, making it more challenging for new users to learn how to effectively use the software or troubleshoot problems that arise.

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

Category Popularity

0-100% (relative to engineeringsuite and assertpy)
Technical Computing
100 100%
0% 0
Testing
0 0%
100% 100
Engineering Calculator
100 100%
0% 0
Python
0 0%
100% 100

User comments

Share your experience with using engineeringsuite and assertpy. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

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

Engineering Equation Solver - EES (pronounced 'ease') is a general equation-solving program that can numerically solve...

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

Aspen Plus - Maximize profits using a plant-wide simulation solution that combines unparalleled accuracy and engineering collaboration with time-saving workflows.

fxSolver - fxSolver is an free online math solver, equation library, graphing calculator and science/engineering problem helper. To get started, add some formulas, fill in any input variables and press "Solve."

SMath Studio - Tiny, powerful, free mathematical program with WYSIWYG editor and complete units of measurements support.

TRNSYS - TRNSYS is a transient systems simulation program with a modular structure.