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D (Programming Language) VS Numba

Compare D (Programming Language) VS Numba and see what are their differences

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D (Programming Language) logo D (Programming Language)

D is a language with C-like syntax and static typing.

Numba logo Numba

Numba gives you the power to speed up your applications with high performance functions written...
  • D (Programming Language) Landing page
    Landing page //
    2023-05-09
  • Numba Landing page
    Landing page //
    2019-09-05

D (Programming Language) features and specs

  • Performance
    D is designed to be a high-performance systems programming language, offering performance comparable to C and C++ through native machine code compilation.
  • Expressiveness
    D features a rich standard library and modern language constructs, such as garbage collection, first-class arrays, and advanced templating, making it easier to write expressive and maintainable code.
  • Memory Safety
    D offers optional garbage collection along with manual memory management. This hybrid approach can help in developing safer applications by reducing memory-related errors.
  • Interoperability
    D can easily interoperate with C API, enabling seamless integration with existing C libraries and systems. It also supports better C++ interoperability compared to other languages.
  • Built-in Unit Testing
    D has built-in support for unit tests, allowing developers to write and run tests as part of the language itself, facilitating test-driven development.
  • Concurrency
    D offers built-in concurrency support with message passing, similar to the actor model found in languages like Erlang, making it easier to write concurrent and parallel programs.

Possible disadvantages of D (Programming Language)

  • Adoption
    D is not as widely adopted as other languages like C, C++, or Java. This limited adoption means fewer libraries, frameworks, and community support.
  • Toolchain Maturity
    While D's compilers and tools have improved over the years, they may still lack the maturity and feature set of more established languages, which can affect developer productivity.
  • Learning Curve
    D's richness and combination of paradigms (such as imperative, object-oriented, and functional programming) can present a steep learning curve for new developers.
  • Garbage Collection
    Although D offers optional garbage collection, its reliance on it for memory safety might be seen as a drawback for real-time system development where deterministic memory management is crucial.
  • Ecosystem
    The ecosystem for D is less vibrant compared to more popular languages, leading to potentially fewer third-party libraries, tools, and resources.
  • Standard Library Documentation
    The standard library documentation can be inconsistent or less comprehensive compared to other languages, making it difficult for developers to fully utilize all features of the language.

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.

D (Programming Language) videos

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D Language Tutorial

Numba videos

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The Criminal History of RondoNumbaNine

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Category Popularity

0-100% (relative to D (Programming Language) and Numba)

D (Programming Language)

Numba

Programming Language
77 77%
Programming Language
23% 23
Website Builder
0 0%
Website Builder
100% 100
OOP
100 100%
OOP
0% 0
Website Design
0 0%
Website Design
100% 100

User comments

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Social recommendations and mentions

Based on our record, Numba should be more popular than D (Programming Language). It has been mentiond 93 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.

D (Programming Language) mentions (56)

  • Koto Programming Language
    >For me the biggest gap in programming languages is a rust like language with a garbage collector, instead of a borrow checker. I cannot agree more that's the much needed sweet spot/Goldilock/etc. Personally I have been advocating this approach for some times. Apparently the language is already widely available and currently has stable and wide compiler support including the venerable GNU compiler suite (GDC). It... - Source: Hacker News / about 2 months ago
  • Apple didn't fix Swift's biggest flaw
    Those languages are definitely with us, https://dlang.org/ https://www.embarcadero.com/products/delphi https://www.mikroe.com/mikropascal-arm https://www.eiffel.com/ https://www.ptc.com/en/products/developer-tools/objectada. - Source: Hacker News / 11 months ago
  • Berry is a ultra-lightweight dynamically typed embedded scripting language
    Show examples on the main web page. Try and find an AngelScript example. It's stupidly hard. Compare it to these web sites: https://dlang.org/ https://koka-lang.github.io/koka/doc/index.html https://vale.dev/ http://mu-script.org/ https://go.dev/ https://www.hylo-lang.org/ Sadly Rust fails this too but at least the Playground is only one click away. And Rust is mainstream anyway so it doesn't matter as much. I... - Source: Hacker News / over 1 year ago
  • Small Joys with Odin
    >and D The D language, that is. https://dlang.org. - Source: Hacker News / almost 2 years ago
  • Red Programming Language
    You are both right it seems. GP seems to have omitted withour GC. Number one on your list could be Dlang no? Not affiliated. https://dlang.org/. - Source: Hacker News / almost 2 years ago
View more

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 D (Programming Language) and Numba, you can also consider the following products

Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.

Cython - Cython is a language that makes writing C extensions for the Python language as easy as Python...

Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...

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

V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.

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

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