Software Alternatives, Accelerators & Startups

Calcumber VS assertpy

Compare Calcumber VS assertpy and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Calcumber logo Calcumber

Calculate in a notebook and share โ€” from everyday math to engineering.
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assertpy logo assertpy

A straightforward assertion library for Python.
  • Calcumber Usefulness of units when calculating the weight of paper
    Usefulness of units when calculating the weight of paper //
    2026-07-25
  • Calcumber Calcumber interactively embedd on a web page
    Calcumber interactively embedd on a web page //
    2026-07-25
  • Calcumber Showcase from arithmetics to thermodynamics
    Showcase from arithmetics to thermodynamics //
    2026-07-25

Use variables, functions, and units and see results immediately. Add comments, copy calculations to apps like Word or Excel, or share them through an editable link. Calculate thermodynamic fluid properties with the integrated CoolProp library.

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

Calcumber

$ Details
free
Platforms
Web Windows Linux Mac
Release Date
2025 June
Startup details
Country
Switzerland
State
Aargau
City
Staufen
Founder(s)
Samuel Hartmann
Employees
1 - 9

assertpy

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

Calcumber features and specs

  • ๐ŸŒฟ Naturally type expressions
    get immediate results
  • ๐Ÿ”— Copy and share
    keep calculations editable with a link
  • ๐Ÿงฉ Variables and constants
    pi, e, G, mu0
  • ๐Ÿงช Scientific functions
    sin, acos, log, round, and more
  • โ™จ๏ธ Thermodynamic fluid properties
    refrigeration, heat pumps, steam and air
  • ๐Ÿ’ก Installation optional
    run directly in your browser
  • ๐Ÿ“ฑ Multi-platform
    WebApp, Windows, more to come

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 Calcumber and assertpy)
Math Solver
100 100%
0% 0
Testing
0 0%
100% 100
Online Calculators
100 100%
0% 0
Python
0 0%
100% 100

Questions & Answers

As answered by people managing Calcumber and assertpy.

Why should a person choose your product over its competitors?

Calcumber's answer

  • Sharing calculations and embedding them in documents or web pages is perfect for education.
  • Natural unit support, just include them in your expression and Calcumber handles it.
  • Free and easy access to thermodynamic fluid-properties.

What makes your product unique?

Calcumber's answer

  • Easy to use calculator notebook
  • From simple arithmetic to advanced engineering with units
  • Installation optional
  • Send calculation link with full privacy
  • Embed calculation templates, exercices and soultions in documents or interactively in web pages

What's the story behind your product?

Calcumber's answer

When starting for a Master of Advances Study in Energy Systems, I was looking for a suitable state-of-the-art calculator. Then I built my own Calculator Calcumber and now the Eastern Switzerland University of Applied Sciences is using Calcumber for teaching students in thermodynamics.

How would you describe the primary audience of your product?

Calcumber's answer

  • The notebook-style calculator is great for everybody who wants more than just a single line calculator.
  • The sharing and embedding features make it Calcumber very well suited for teachers and students. The power of consistently using units is shown immediatly.
  • Engineers will like the unit support, sharing calculations with collegues and if needed the built-in fluid properties calculation.

Which are the primary technologies used for building your product?

Calcumber's answer

HTML, CSS, TypeScript, PWA, CoolProp

Who are some of the biggest customers of your product?

User comments

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What are some alternatives?

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

Numara Calculator - A simple but powerful notepad calculator which evaluates expressions as you type.

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

SpeedCrunch - SpeedCrunch. SpeedCrunch is a high-precision scientific calculator featuring a fast, keyboard-driven user interface. It is free and open-source software, licensed under the GPL. Download Documentation Donateย .

Qalculate! - Qalculate! is a multiplatform multi-purpose desktop calculator.

Numi App - Numi is a beautiful text calculator for Mac.

Soulver - Soulver is a software application that functions as a calculator that allows you type a continuous stream of information rather than having to input data into multiple cells.