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DashboardKit.cc VS assertpy

Compare DashboardKit.cc VS assertpy and see what are their differences

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DashboardKit.cc logo DashboardKit.cc

DashboardKit is made for everyone, no matter you are a novice developer, designer, project manager/owner. It is made by an Elite Author with having 5+ years of experience in dashboard making.

assertpy logo assertpy

A straightforward assertion library for Python.
  • DashboardKit.cc Landing page
    Landing page //
    2023-07-13

DashboardKit is a Bootstrap 5 based Admin Template that comes with 170+ ready to use conceptual pages. We have made DashboardKit a really powerful backend template with having tons of UI components, form elements, charts, tables along with 7+ admin panels. โ€ข Developer centric
โ€ข Modern design
โ€ข Performance first
โ€ข Well documented โ€ข Responsive
โ€ข Browsers Compatiblity โ€ข Regular updates โ€ข Support : dashboardkit[at]gmail[dot]com.

Features DashboardKit free Bootstrap 5 admin template includes the basic layouts with below listed pages. For more features, please checkout pro version.

โ€ข Analytics Dashboard โ€ข All Basic Bootstrap components โ€ข 250+ Feather Icons โ€ข Form Elements โ€ข Bootstrap Basic Table โ€ข Apex charts โ€ข Google Map โ€ข Login/Registration Pages โ€ข Sample Page

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

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Release Date
-
Categories

DashboardKit.cc features and specs

  • Dashboards
    โ€ข Analytics Dashboard
  • Components
    โ€ข All Basic Bootstrap components
  • Icons
    โ€ข 250+ Feather Icons
  • Elements
    โ€ข Form Elements
  • Tables
    โ€ข Bootstrap Basic Table
  • Charts
    โ€ข Apex charts
  • Map Intergration
    โ€ข Google Map
  • Authentication Pages
    โ€ข Login/Registration Pages
  • Demo Version
    โ€ข Sample Page

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

DashboardKit.cc videos

DashboardKit Bootstrap 5 Admin Template

assertpy videos

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Category Popularity

0-100% (relative to DashboardKit.cc and assertpy)
Data Dashboard
100 100%
0% 0
Testing
0 0%
100% 100
Admin Template
100 100%
0% 0
Python
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, DashboardKit.cc 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.

DashboardKit.cc mentions (1)

  • Day 10 Bootstrap 5 extra feature
    Dashboardkit.io is built using the Bootstrap 5 template set a version which is perfect for novice developers, designers, project managers, and owners. It is made by Elite Author. We will be taking a more detailed look at Dashboardkit. - Source: dev.to / over 5 years ago

assertpy mentions (0)

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

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