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packagecloud VS assertpy

Compare packagecloud VS assertpy and see what are their differences

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

packagecloud logo packagecloud

Free hosted Node.js, Debian, RPM, Java, Python and RubyGem repositories. Chef, Puppet, Jenkins, Buildkite, CircleCI and Travis CI integrations.

assertpy logo assertpy

A straightforward assertion library for Python.
  • packagecloud Landing page
    Landing page //
    2023-03-07

Packagecloud is a cloud-based package repository that allows its users to host npm, python, rubygem, apt, Java/Maven, and yum repositories without having to configure anything first. Being a cloud-based solution, it also allows one to distribute various software packages in a uniform, scalable, and dependable manner without investing in infrastructure.

Regardless of the programming language or OS, you can keep all of the packages that you need to be deployed across your organizationโ€™s workstations in one repo. Then, without owning any of the infrastructure required, you may securely and efficiently distribute packages to your devices.

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

packagecloud

Website
packagecloud.io
Pricing URL
Official packagecloud Pricing
$ Details
freemium $89 / Monthly ("Starter Plan", "20 Gb Transfer", "5 Gb Storage")
Platforms
Cross Platform Linux Windows Mac OSX Cloud
Release Date
2016 January
Edit details

assertpy

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

packagecloud features and specs

  • Unlimited Users
  • Unlimited Repositories
  • Universal asset management
  • CI/CD Pipeline Orchestration

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 packagecloud and assertpy)

packagecloud

assertpy

Package Manager
100 100%
Package Manager
0% 0
Testing
0 0%
Testing
100% 100
DevOps Tools
100 100%
DevOps Tools
0% 0
Python
0 0%
Python
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare packagecloud and assertpy

packagecloud Reviews

What is Artifactory?
Packagecloud is a cloud-based package repository that allows its users to host npm, python, rubygem, apt, Java/Maven, and yum repositories without having to configure anything first. Being a cloud-based solution, it also allows one to distribute various software packages in a uniform, scalable, and dependable manner without investing in infrastructure. Regardless of the...
Source: blog.packagecloud.io

assertpy Reviews

We have no reviews of assertpy yet.
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Social recommendations and mentions

Based on our record, packagecloud seems to be more popular. It has been mentiond 5 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.

packagecloud mentions (5)

  • Reports on successful blocks
    Looks like the repository on packagecloud.io don't have the latest version yet, it only lists 0.0.23? I got 0.0.24 from somewhere though. Source: over 3 years ago
  • I tried to switch to the testing branch of Debian and below is my /etc/apt/sources.list:
    Forcing the config can be don manually by modifying the config files that points to different repos in /etc/apt/sources.list.d, or for packages on packagecloud.io, you can use the method that I describe. The latter works because packagecloud.io has a robust strip to create config files based on the detected operating systems or you can force a certain operating system/dist as shown above. Source: almost 4 years ago
  • I tried to switch to the testing branch of Debian and below is my /etc/apt/sources.list:
    The error you are seeing is because you probably ran one of the steps that creates a configuration in your system that points to packagecloud.io, so that your system can retrieve packages from https://packagecloud.io/cs50/repo. However since there are no Debian bookworm packages there, you are seeing the error. Source: almost 4 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Packagecloud.io โ€” Hosted Package Repositories for YUM, APT, RubyGem and PyPI. Limited free plans, open source plans available via request. - Source: dev.to / about 5 years ago
  • Need help installing Pi hole
    You have something installed via packagecloud.io which is no longer avalaible. Delete the line from your sources. Source: about 5 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 packagecloud and assertpy, you can also consider the following products

Cloudsmith - Cloudsmith is the preferred software platform for securely storing and sharing packages and containers. We have distributed millions of packages for innovative companies around the world.

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

Artifactory - The worldโ€™s most advanced repository manager.

CloudRepo - Public and Private Maven and Python (PyPi) repository package manager.

Gemfury - Gemfury is a hosted repository for your public and private packages, where they are safe and within reach.

Sonatype Nexus Repository - The world's only repository manager with FREE support for popular formats.

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