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PDFMonkey VS assertpy

Compare PDFMonkey VS assertpy and see what are their differences

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PDFMonkey logo PDFMonkey

Automate your PDF generation.

assertpy logo assertpy

A straightforward assertion library for Python.
  • PDFMonkey Landing page
    Landing page //
    2023-10-23

PDFMonkey is your automation tool perfect for generating a high volume of PDFs. HTML to PDF with our restless API or with various automation tool such as Zapier, Make or Bubble. Link it with thousands of tools to automate your workflow and simplify your PDF management.

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

PDFMonkey

$ Details
freemium โ‚ฌ15 / Monthly (3000 documents, 7 days retention, Load images, fonts, CSS & JS)
Platforms
Make Bubble Automation Zapier
Release Date
2019 April
Startup details
Country
France
State
Paris
City
Paris
Employees
1 - 9

assertpy

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

PDFMonkey features and specs

  • Snippets
    Share code between different templates
  • Direct generation
    Generate a PDF when updated informations
  • XML embedding
    Insert XML inside the PDF and generate a PDF 3-A compatible factur-X
  • PDF generation
    PDF generation that you can connect with thousands of tools

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

PDFMonkey videos

PDFMonkey - explained

assertpy videos

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

Add video

Category Popularity

0-100% (relative to PDFMonkey and assertpy)
PDF Tools
100 100%
0% 0
Testing
0 0%
100% 100
Document Automation
100 100%
0% 0
Python
0 0%
100% 100

Questions & Answers

As answered by people managing PDFMonkey and assertpy.

What makes your product unique?

PDFMonkey's answer

PDFMonkey is a simple PDF generation tool that can make your task easier with automated shipping labels, invoices or any other PDF hassle.

Why should a person choose your product over its competitors?

PDFMonkey's answer

PDFMonkey is one of the oldest in the market but also one of the best tool giving advanced features and improved support on automation tools such as Zapier, Make and bubble.

User comments

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Reviews

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

PDFMonkey Reviews

14 Best PDF APIs for Every Business Need
PDFMonkey helps you with automating the process of PDF generation. Using it, you can effortlessly manage your templates and insert dynamic data in them whenever necessary. Thus, it saves precious time for the developers that they would have spent writing codes for PDF.
Source: geekflare.com

assertpy Reviews

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

Based on our record, PDFMonkey 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.

PDFMonkey mentions (1)

  • From PDFMonkey to Aim Monkey: Building internal tools that actually help
    One of the first features I worked on when starting my career was AIM's pdf generation tool. It was time to migrate off of PDF monkey's SaaS product to our own solution. We had to figure a way of maintaining the same templates we used with PDF moneky but reverse engineering the server side logic, this was quite the challenge on it's own, we managed to eventually do it but ended up with a extra friction and huge... - Source: dev.to / over 1 year 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 PDFMonkey and assertpy, you can also consider the following products

DocRaptor - As the only API powered by the Prince HTML-to-PDF engine, DocRaptor provides the best support for complex PDFs with powerful support for headers, page breaks, page numbers, flexbox, watermarks, accessible PDFs, and much more

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

APITemplate.io - APITemplate.io allows you to auto-generate social images and PDF documents with a simple API or automation tools like Zapier & Airtable. No CSS/HTML required.

CraftMyPDF - PDF generation API for developers who ship fast.

PandaDoc - Boost your revenue with PandaDoc. A document automation tool that delivers higher close rates and shorter sales cycles. We've helped over 30,000+ companies.

PDFShift - Convert any HTML documents to high-fidelity PDF using a single POST request