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Micro Python VS Numba

Compare Micro Python VS Numba and see what are their differences

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Micro Python logo Micro Python

Python for microcontrollers

Numba logo Numba

Numba gives you the power to speed up your applications with high performance functions written...
  • Micro Python Landing page
    Landing page //
    2023-03-16
  • Numba Landing page
    Landing page //
    2019-09-05

Micro Python features and specs

  • Lightweight
    MicroPython is designed to be a streamlined version of Python, optimized for microcontrollers and small embedded systems. It has a smaller footprint than full Python, making it ideal for constrained environments.
  • Python Compatibility
    MicroPython is largely compatible with standard Python (Python 3.x), which allows developers who are familiar with Python to easily adapt to MicroPython for embedded applications.
  • Real-Time Capabilities
    MicroPython supports real-time operating systems and can handle tasks that require precise timing, making it suitable for controlling hardware directly.
  • Active Community
    MicroPython has a growing community of developers and enthusiasts who contribute to its development, provide support, and share resources and libraries.
  • Cross-Platform Support
    MicroPython can run on a wide range of hardware platforms, including popular boards like ESP8266, ESP32, and Raspberry Pi Pico, offering flexibility for developers.

Possible disadvantages of Micro Python

  • Limited Library Support
    Not all Python libraries are available in MicroPython, and some may require re-implementation or adaptation to work within the constraints of microcontrollers.
  • Performance Constraints
    Due to its lightweight nature and the limited resources of typical target devices, MicroPython may not perform as well as standard Python in terms of speed and processing power.
  • Learning Curve for Hardware Interfacing
    Developers who are new to embedded systems may face a learning curve when it comes to hardware interfacing and understanding the limitations and capabilities of microcontrollers.
  • Memory Limitations
    Microcontrollers have significantly less memory than computers, which can limit the complexity of programs that can be run using MicroPython.
  • Fragmented Development Environment
    Compared to standard Python, the tools and IDE support for MicroPython can be less mature and more fragmented, which may make development more challenging.

Numba features and specs

  • Performance
    Numba can significantly increase the speed of execution for numerically intensive Python code by compiling Python functions to optimized machine code using LLVM.
  • Ease of Use
    Numba is user-friendly and requires minimal code changes. Often, just applying a decorator to functions is enough to gain performance benefits.
  • Integration with NumPy
    Numba works well with NumPy, allowing users to compile functions that utilize NumPy arrays efficiently.
  • JIT Compilation
    It supports Just-In-Time (JIT) compilation, enabling functions to be compiled at runtime, which allows for optimizations based on actual usage.
  • GPGPU Acceleration
    Numba offers support for GPU acceleration, which can further enhance performance by offloading tasks to NVIDIA GPUs using CUDA.

Possible disadvantages of Numba

  • Limited Python Feature Support
    Numba does not support all Python features and standard library modules, which can limit its applicability for certain functions or applications.
  • Compilation Overhead
    The initial compilation of functions can add overhead, which might negate performance gains for small or simple tasks.
  • Debugging Difficulty
    Debugging Numba-compiled code can be challenging due to the compiled nature of the code, which may obscure typical Python error messages.
  • Complex Code Compatibility
    More complex Python constructs, such as classes and closures, are not fully supported, requiring workarounds or alternative solutions.
  • Dependency on LLVM
    Numba heavily relies on the LLVM library for compilation, which can complicate installation and increase dependency size.

Micro Python videos

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Numba videos

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Category Popularity

0-100% (relative to Micro Python and Numba)

Micro Python

Numba

Education
100 100%
Education
0% 0
Website Builder
0 0%
Website Builder
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Website Design
0 0%
Website Design
100% 100

User comments

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Social recommendations and mentions

Numba might be a bit more popular than Micro Python. We know about 93 links to it since March 2021 and only 81 links to Micro Python. 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.

Micro Python mentions (81)

  • Ask HN: What less-popular systems programming language are you using?
    I'll link to it because many people don't know a version of Python runs on microcontrollers: https://micropython.org/. - Source: Hacker News / 2 months ago
  • Tactility: OS for the ESP32 Microcontroller Family
    I'm personally working on something like this for the ESP32, but written on top of micropython [1]. A few things are written in C such as the display driver, but otherwise most things are in micropython. We chose the T-Watch 2020 V3 microphone variant as the platform [2]. Our objective is to build a modern PDA device via a mostly stand-alone watch that can be synced across devices (initially the Linux desktop). We... - Source: Hacker News / 4 months ago
  • Porting Python to a terrible $3 smartwatch [video]
    For context > MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments. https://micropython.org/. - Source: Hacker News / 11 months ago
  • RustPython
    Just putting my hand up to say that MicroPython is awesome (and runs on the RP2040). https://micropython.org. - Source: Hacker News / over 1 year ago
  • about microprocessor
    If you really want to engage in the travesty that is shoehorning a high level scripting language into an environment that has 512 bytes of RAM and less clock cycles than an electric toothbrush, there is micropython. Source: over 1 year ago
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Numba mentions (93)

  • I Use Nim Instead of Python for Data Processing
    >Not type safe That's the point. Look up what duck typing means in Python. Your program is meant to throw exceptions if you pass in data that doesn't look and act how it needs to. This means that in Python you don't need to do defensive programming. It's not like in C where you spend many hundreds of lines safe-guarding buffer lengths, memory allocation, return codes, static type sizes, and so on. That means that... - Source: Hacker News / 8 months ago
  • Gravitational Collapse of Spongebob
    I believe it is using Numba which converts to machine code. https://numba.pydata.org/. - Source: Hacker News / about 1 year ago
  • Mojo🔥: Head -to-Head with Python and Numba
    Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code. - Source: dev.to / over 1 year ago
  • Mojo: The usability of Python with the performance of C
    Or you use numba [1]. Then you can use a subset of plain Python. [1] https://numba.pydata.org/. - Source: Hacker News / over 1 year ago
  • Is anyone using PyPy for real work?
    Simulations are, at least in my experience, numba’s [0] wheelhouse. [0]: https://numba.pydata.org/. - Source: Hacker News / almost 2 years ago
View more

What are some alternatives?

When comparing Micro Python and Numba, you can also consider the following products

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Full Stack Python - Explains programming language concepts in plain language.

PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...

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