Software Alternatives, Accelerators & Startups
Register | Login

Does.qa VS assertpy

Compare Does.qa VS assertpy and see what are their differences

Tabidoo
A simple way to keep all your data under control. Build your own business applications in just 4 minutes. sponsored
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Does.qa logo Does.qa

DoesQA is a no-code solution which unlocks the power of automation testing for everyone in every project.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Does.qa
    Image date //
    2024-07-09

DoesQA is Codeless test automation that's more powerful than code! Any team member can create complex automation tests easily, enabling QA to keep pace with development and build coverage while reducing costs.

DoesQA doesn't just make the easy stuff easier; our codeless test automation tool also supports API integrations, Visual Regression, Pa11y, Lighthouse, and many more.

You'll be able to create tests in minutes which would have taken months in code.

  • assertpy Landing page
    Landing page //
    2022-11-06

Does.qa

Website
does.qa
Pricing URL
Official Does.qa Pricing
$ Details
paid Free Trial $95 / Monthly (Unlimited Testing, Unlimited Users, 10 Parallel Runners)
Platforms
Google Chrome Firefox Edge
Release Date
2023 March
Edit details

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Categories
#Testing #Python
Edit details

Does.qa features and specs

  • Unlimited Concurrency
  • Multi-browser
  • Drag-and-drop UI
  • Lighthouse
  • Visual Regression
  • Pa11y
  • API
  • Slack Integration
  • CI/CD
  • Scheduling
  • Email Testing
  • Generate Authentic MFA Tokens

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

Does.qa videos

+ Add

Introduction to DoesQA

assertpy videos

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

Add video

Category Popularity

0-100% (relative to Does.qa and assertpy)

Does.qa

assertpy

Automated Testing
100 100%
Automated Testing
0% 0
Testing
83 83%
Testing
17% 17
Python
0 0%
Python
100% 100
Website Testing
100 100%
Website Testing
0% 0

Questions & Answers

As answered by people managing Does.qa and assertpy.

What makes your product unique?

Does.qa's answer

DoesQA simplifies test creation and improves reliability while keeping the tester in control. With unlimited concurrency as standard there's no faster way to create or run your tests.

Why should a person choose your product over its competitors?

Does.qa's answer

DoesQA is the only solution which supports branching tests, API requests and Lighthouse Audits. DoesQA was built by experienced SDETs to make testing simpler, faster and more cost-effective while allowing all the power which comes with a traditional code-based solution.

How would you describe the primary audience of your product?

Does.qa's answer

Engineering teams who want powerful web end-to-end automation tests without the costs typically associated with building a test framework and running tests remotely.

What's the story behind your product?

Does.qa's answer

Everyone's endlessly wasting money building their own test framework.

User comments

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

Social recommendations and mentions

Based on our record, Does.qa seems to be more popular. It has been mentiond 1 time 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.

Does.qa mentions (1)

  • Automation Tool that can handle BOTH Web and Mobile App testing
    Hey, DoesQA here, we have a compatible set of steps as WebdriverIO but as a codeless test automation tool. Source: over 3 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 Does.qa and assertpy, you can also consider the following products

DogQ.io - No-code tests in cloud for web developers with all skill levels

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

Testpine - No Code Test Automation for Web & Mobile and Test Management

Cypress.io - Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.

TestMu AI (Formerly LambdaTest) - Worldโ€™s first full-stack Agentic AI Quality Engineering platform.

TestSprite - First Fully Autonomous End-to-End AI Testing Tool

Loading...