Software Alternatives, Accelerators & Startups

PyPy VS Mendix

Compare PyPy VS Mendix and see what are their differences

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PyPy logo PyPy

PyPy is a fast, compliant alternative implementation of the Python language (2.7.1).

Mendix logo Mendix

Mendix is the fastest and easiest low-code platform used by businesses to create and continuously improve mobile and web apps at scale.
  • PyPy Landing page
    Landing page //
    2023-10-15
  • Mendix Landing page
    Landing page //
    2023-09-14

PyPy

Website
pypy.org
Pricing URL
-
$ Details
Release Date
-

Mendix

Website
mendix.com
$ Details
Release Date
2005 January
Startup details
Country
United States
City
Boston
Founder(s)
Derckjan Kruit
Employees
250 - 499

PyPy features and specs

  • Performance
    PyPy is known for its superior execution speed and performance, often outperforming the standard CPython interpreter for many workloads thanks to its Just-in-Time (JIT) compilation strategy.
  • Compatibility
    PyPy aims to be compatible with standard Python, so many programs and libraries that run on CPython should work on PyPy without or with minimal changes.
  • Memory Efficiency
    Due to its garbage collection mechanism, PyPy often results in lower memory usage as compared to CPython, which can be beneficial for memory-intensive applications.
  • Concurrency
    PyPy provides better support for concurrency, including potentially avoiding some of the Global Interpreter Lock (GIL) performance issues present in CPython.

Possible disadvantages of PyPy

  • Compatibility Limitations
    Although PyPy aims to be compatible with Python, not all extensions and libraries available for CPython work flawlessly with PyPy, particularly those relying on C extensions.
  • Startup Time
    PyPy has a slower startup time than CPython due to the JIT compilation overhead, which could be a downside for scripts primarily dealing with short-lived processes.
  • Larger Memory Footprint
    While PyPy can be more memory efficient in the long term, the JIT compilation process can result in a larger initial memory footprint which could affect applications with limited memory resources.
  • Platform Support
    PyPy might not support all platforms or the latest Python features immediately, potentially causing issues for users relying on cutting-edge Python developments or specific system architectures.

Mendix features and specs

  • Rapid Development
    Mendix allows for quick application development with its low-code platform, reducing time to market and enabling faster project completion.
  • Ease of Use
    The platform is designed to be user-friendly, allowing even non-developers to create applications using visual modeling tools.
  • Scalability
    Mendix applications can scale easily to accommodate growing user bases and data loads, making it suitable for enterprises of all sizes.
  • Integration Capabilities
    Mendix offers robust integration options with various systems and APIs, ensuring seamless data flow between applications and existing systems.
  • Community and Support
    The Mendix community is active and supportive, providing a wealth of resources, documentation, and forums for troubleshooting and learning.
  • Flexibility
    The platform supports a wide variety of applications across multiple industries, providing solutions that can be tailored to specific business needs.

Possible disadvantages of Mendix

  • Cost
    Mendix can be expensive, especially for smaller businesses or startups. Licensing and subscription fees can add up quickly.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve associated with mastering the platformโ€™s more advanced features.
  • Performance
    Some users have reported performance issues, particularly with highly complex applications or when scaling rapidly.
  • Vendor Lock-In
    Using Mendix can lead to vendor lock-in, making it difficult to switch to another platform without significant redevelopment.
  • Customization Limits
    While Mendix is flexible, there are limitations to how much one can customize, particularly when it comes to very niche requirements.
  • Dependency on Internet
    As a cloud-based platform, Mendix requires a stable internet connection, which can be a limitation in environments with unreliable connectivity.

PyPy videos

PyPy - the hero we all deserve. - Amit Ripshtos - PyCon Israel 2019

More videos:

  • Review - Using the PyPy runtime for Python
  • Review - How PyPy runs your program

Mendix videos

What Is Mendix

Category Popularity

0-100% (relative to PyPy and Mendix)
Website Builder
100 100%
0% 0
Developer Tools
0 0%
100% 100
Development
100 100%
0% 0
Project Management
0 0%
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 PyPy and Mendix

PyPy Reviews

We have no reviews of PyPy yet.
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Mendix Reviews

Low-Code Platforms Compared: Enterprise Guide for Developers
Mendix: Collaborative development environment with flexible deployment and strong AI-assisted development through Maia, plus growing agent capabilities. Strong for enterprise apps, but loosely coupled orchestration may require workarounds.
Source: rierino.com
Top 10 Microsoft Power Apps Alternatives and Competitors 2024
Strengths: A leader in enterprise low-code development, Mendix caters to complex applications with a focus on scalability and governance. It offers advanced features like API management, cloud deployment options, and robust security protocols. Mendix is ideal for organizations that require a secure and scalable platform for building mission-critical applications.
Source: medium.com
10 Best Low-Code Development Platforms in 2020
Price: Mendix prices are based on the number of app users. Its Community version is free. Mendix offers three more plans i.e. Single App (Starts at $1875 per month), Pro (Starts at $5375 per month), and Enterprise (Starts at $7825 per month).
The 11 Best Low-Code Development Platforms
Mendix is well-liked by Gartner and Forrester. It is a recognized leader in the space. The user rating is typically 4.5 stars.
Source: www.xplenty.com
3 easy app makers you can start on today
Independent low-code platforms: The likes of Appian, Mendix, OutSystems and Quick Base allow you to build sophisticated enterprise-grade apps that can connect with a wide range of third-party applications and data sources.

Social recommendations and mentions

Based on our record, PyPy should be more popular than Mendix. It has been mentiond 9 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.

PyPy mentions (9)

  • CPython Internals Explained
    There are quite a few JITs: JIT-compiler for Python https://pypy.org/ Python enhancement proposal for JIT in CPython https://peps.python.org/pep-0744/ And there are several JIT-compilers for various subsets of Python, usually with focus on numerical code and often with GPU support, for example Numba https://numba.pydata.org/numba-doc/dev/user/jit.html Taichi Lang https://github.com/taichi-dev/taichi. - Source: Hacker News / 6 months ago
  • Pydrofoil: Accelerating Sail-based instruction set simulators
    Gains than using either compiler alone. This uses the PyPy JIT framework to speed up a RISC-V simulator. https://pypy.org/ https://github.com/pydrofoil/pydrofoil Pydrofoil: A fast RISC-V emulator generated from the Sail model, using PyPy's JIT. - Source: Hacker News / about 1 year ago
  • One Billion Nested Loop Iterations
    "On average, PyPy is 4.4 times faster than CPython 3.7." https://pypy.org/. - Source: Hacker News / over 1 year ago
  • Ask HN: Are my HPC professors right? Is Python worthless compared to C?
    If you're going the pure Python route, don't forget to try PyPy[1], an alternative JITed implementation of the language. A seriously underrated project, IMHO. Most time it speeds up execution by a factor of 2x-4x, but improvements of about two orders of magnitude are not unheard of. See for example [2]. Numeric, long-running code shoud suit PyPy optimizations well. [1] https://pypy.org/ [2]... - Source: Hacker News / over 1 year ago
  • Yes, Ruby is fast, butโ€ฆ
    Python: My Python-foo is limited, so I only ported the last problem (a simple while loop) and ran it with PyPy. It takes a bit less of time:. - Source: dev.to / about 2 years ago
View more

Mendix mentions (1)

  • Mendix Basic plan and alternatives
    The free dev-accounts that are mentioned on the website are referring to making accounts on mendix.com and developing in studio or studio pro. Those accounts are the 'dev accounts', we don't charge for that. If you create an dev account you have access to the exact same development resources as I do as a Mendix employee (or paying customer). If you as the developer want a named user account on your Prod... Source: about 5 years ago

What are some alternatives?

When comparing PyPy and Mendix, you can also consider the following products

cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...

OutSystems - Build Enterprise-Grade Apps Fast.

bbfreeze - create stand-alone executables from python scripts

Zoho Creator - Zoho Creator is a low-code application development platform that helps you build a custom, mobile-ready apps to run your business.

Numba - Numba gives you the power to speed up your applications with high performance functions written...

Appian - See how Appian, leading provider of modern low-code and BPM software solutions, has helped transform the businesses of over 3.5 million users worldwide.