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SimPy VS Calcumber

Compare SimPy VS Calcumber and see what are their differences

FlexiQuiz
FlexiQuiz is a powerful online test generator that enables you to create engaging online quizzes, tests, or exams in minutes. Choose from 100's of features to create a customized quiz that meets your objectives for business, education, or fun. sponsored
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SimPy logo SimPy

Computer-Aided Engineering (CAE)

Calcumber logo Calcumber

Calculate in a notebook and share — from everyday math to engineering.
Visit Website
Not present
  • 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.

SimPy

Website
simpy.readthedocs.io
$ Details
-
Platforms
-
Release Date
-
Edit details

Calcumber

Website
calcumber.app
$ 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
Edit details

SimPy features and specs

  • Ease of Use
    SimPy is designed to be simple and intuitive, making it easy for users to model and simulate real-world processes without a steep learning curve.
  • Process-based Modeling
    SimPy allows for process-based discrete-event simulation, which is well-suited for modeling systems that can be described by processes or objects with distinct life cycles.
  • Python Integration
    As a Python library, SimPy benefits from Python's rich ecosystem, allowing easy integration with other libraries and tools for data analysis, visualization, and more.
  • Flexibility
    SimPy is flexible and can be used for a wide range of applications, from queueing systems to complex network simulations.
  • Active Community
    SimPy has an active community and good documentation, which can help users troubleshoot problems and find resources and examples for their simulations.

Possible disadvantages of SimPy

  • Performance Limitations
    Because SimPy runs on Python, it may not be as fast as simulation libraries written in lower-level languages, which can be a limitation for very large-scale or performance-critical simulations.
  • Not Suitable for All Types of Simulations
    While great for discrete-event simulations, SimPy might not be the best choice for continuous simulations or simulations requiring a different modeling paradigm.
  • Limited Built-in Functionality
    Compared to some specialized simulation tools, SimPy may have limited out-of-the-box components, which requires users to implement more custom code.
  • Dependency on External Libraries
    While integration with Python's ecosystem is an advantage, it can also mean that users must rely on additional libraries for complete functionality, such as data analysis and visualization.

Calcumber features and specs

  • 🌿 Naturally type expressions
    get immediate results
  • 🔗 Copy and share
    keep calculations editable with a link
  • 🧩 Variables and constants
    pi, e, G, mu0
  • 🧪 Scientific functions
    sin, acos, log, round, and more
  • ♨️ Thermodynamic fluid properties
    refrigeration, heat pumps, steam and air
  • 💡 Installation optional
    run directly in your browser
  • 📱 Multi-platform
    WebApp, Windows, more to come

Analysis of SimPy

Overall verdict

  • SimPy is a solid, lightweight discrete-event simulation framework for Python that is good for its intended purpose: modeling process-based systems with clear, readable code. It's free, open-source, well-documented, and has been stable for many years, making it a reliable choice for educational, research, and prototyping needs, though it isn't designed for large-scale, high-performance, or GUI-driven simulation needs.

Why this product is good

  • Simple, Pythonic API based on generators/coroutines makes process-based simulations intuitive to write and read
  • Lightweight with no heavy dependencies, easy to install and integrate into existing Python projects
  • Well-established and mature library with stable releases and long track record of use in academia and industry
  • Comprehensive official documentation with tutorials, API reference, and examples
  • Flexible enough to model queues, resources, and shared state common in real-world systems
  • Open source (MIT license) with an active community and available extensions
  • Good for rapid prototyping of simulation logic without needing specialized simulation software

Recommended for

  • Students and educators teaching discrete-event simulation concepts
  • Researchers prototyping simulation models for queuing, logistics, or networking studies
  • Python developers who want a code-first simulation tool rather than GUI-based simulation software
  • Small to medium-scale simulations where performance is not the primary bottleneck
  • Engineers modeling process flows, resource contention, or scheduling problems
  • Hobbyists and analysts exploring simulation-based approaches to decision-making

SimPy videos

+ Add

Simpy McSimperton

More videos:

Calcumber videos

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

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Category Popularity

0-100% (relative to SimPy and Calcumber)

SimPy

Calcumber

Technical Computing
100 100%
Technical Computing
0% 0
Math Tools
0 0%
Math Tools
100% 100
Simulation Modeling
100 100%
Simulation Modeling
0% 0
Math Calculators
0 0%
Math Calculators
100% 100

Questions & Answers

As answered by people managing SimPy and Calcumber.

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?

Calcumber's answer:

Eastern Switzerland University of Applied Sciences

User comments

Share your experience with using SimPy and Calcumber. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, SimPy seems to be more popular. It has been mentiond 8 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.

SimPy mentions (8)

  • Elevators
    Discrete event simulation frameworks, like SimPy, are a great mathematical way to simulate the environment if wanting to discover better methods of any methodoical staging flow. Elevator scheduling is one example that can be simulated. https://simpy.readthedocs.io/en/latest/. - Source: Hacker News / about 1 month ago
  • I have a theory that CPUs could be faster if they were built around memory s are CPUs limited by Memory Bandwidth and how to calculate if they are?
    2) Playing with a discrete simulation engine like SimPy and characterizing what those latency/bandwidth tradeoffs look like. Source: over 3 years ago
  • Does anyone have any good sources on the way to code a line balancing simulation using Python?
    Do you want to do discrete event simulation? Then I suggest you look into SimPy. Source: over 4 years ago
  • IoT simulation for a total beginner?
    I can recommend using simpy, I used it myself for similar purpose and it is more than enough. Source: over 4 years ago
  • Discrete event simulation
    Check out simpy. It's pretty easy to pick up and get going after reading the docs and samples. Source: almost 5 years ago
View more

Calcumber mentions (0)

We have not tracked any mentions of Calcumber yet. Tracking of Calcumber recommendations started around Jul 2026.

What are some alternatives?

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

JaamSim Pro - Superior technology for modelling bulk materials handling, storage, and shipping.

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

Arena Simulation Software - Arena Simulation Software is an intuitive simulation software solution that helps you arrive at the right decision at the right time to help you ripe the best for your business.

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 Donate .

AnyLogic - AnyLogic has changed simulation modeling and expanded its application into complex business environments. The unmatched flexibility of multimethod modeling allows users to capture the complexity of virtually any system, at any level of detail.

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

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