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Vizzlo VS assertpy

Compare Vizzlo VS assertpy and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Vizzlo logo Vizzlo

Create high-quality charts and business graphics easily online, in PowerPoint, or Google Slides.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Vizzlo Landing page
    Landing page //
    2021-11-20

Vizzlo is a chart maker that offers a portfolio of 100+ chart types. Vizzlo makes it easy creating sophisticated project management visuals such as Gantt chart, Timelines and Waterfall chart. In addition, Vizzlo offers data visualizations such as Bar charts, Bubble charts, Marimekko charts and many more. All visualizations support Excel and CSV files, as well as links to Google Sheets.

Besides the cloud application, Vizzlo offers add-ins for PowerPoint and Google Slides, and platform-agnostic desktop apps for Mac and Windows. Cloud storage provider that Vizzlo supports are Box, Dropbox, Google Drive and OneDrive.

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

Vizzlo

Website
vizzlo.com
Pricing URL
Official Vizzlo Pricing
$ Details
freemium $11 / Annually (Professional)
Platforms
Windows Mac OSX Linux Browser Safari Google Chrome Firefox Cloud Internet Explorer
Release Date
2015 March
Edit details

assertpy

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

Vizzlo features and specs

  • API
  • Automation
  • Gantt Timeline
  • Cloud-based
  • Data Import/Export
  • Data Synchronization
  • Email notifications
  • Charts
  • Team Collaboration
  • Free to use
  • Free Trial
  • GDPR Compliant
  • Help Centre
  • Integrations

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

Vizzlo videos

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Vizzlo for Google Slidesโ„ข๏ธ

More videos:

  • Review - Vizzlo loves PowerPoint: How awesome is your presentation?
  • Review - Webinar: How Visual Communication Closes more Business | by Xara & Vizzlo

assertpy videos

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Category Popularity

0-100% (relative to Vizzlo and assertpy)

Vizzlo

assertpy

Office & Productivity
100 100%
Office & Productivity
0% 0
Testing
0 0%
Testing
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Python
0 0%
Python
100% 100

User comments

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What are some alternatives?

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

Datamatic.io - Datamatic - WordPress for data visualizations

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

Tableau Public - Your data has a story. Share it with the world.

KiniMetrix - Our approach blends proprietary metrics and frameworks, smart Business Intelligence software...

BrightGauge - BrightGauge is a business intelligence software for IT service providers.

Raport Pro - Analyze all your data in one app. Raport brings your metrics together.

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