Software Alternatives, Accelerators & Startups
Register | Login

Crystal (programming language) VS Numba

Compare Crystal (programming language) VS Numba and see what are their differences

Limey
Limey: Connect smarter with QR codes, links, sites, and digital business cards in one place. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Crystal (programming language) logo Crystal (programming language)

Programming language with Ruby-like syntax that compiles to efficient native code.

Numba logo Numba

Numba gives you the power to speed up your applications with high performance functions written...
  • Crystal (programming language) Landing page
    Landing page //
    2022-01-26
  • Numba Landing page
    Landing page //
    2019-09-05

Crystal (programming language) features and specs

  • Performance
    Crystal is designed to have the performance of C, thanks to its compilation to efficient native code. Its static type system and low-level memory management capabilities allow optimized execution.
  • Syntax
    Crystal offers a syntax that is heavily inspired by Ruby, making it intuitive and familiar for Ruby developers. This can significantly reduce the learning curve and improve developer productivity.
  • Type Inference
    Crystal provides powerful type inference, enabling developers to write less boilerplate code while still benefiting from the safety and performance of a statically-typed language.
  • Concurrency
    Crystal supports lightweight concurrency with fibers, which allows developers to write efficient and scalable concurrent programs with a simpler syntax compared to traditional threading models.
  • Community and Ecosystem
    Crystal has an active and growing community. It also boasts a rich ecosystem with libraries and tools, making it easier for developers to find resources and support.

Possible disadvantages of Crystal (programming language)

  • Maturity
    Crystal is still a relatively young language compared to more established languages like Python or Java. This can mean fewer resources, libraries, and tools, as well as potential instability in certain areas.
  • Compilation Time
    Crystal's compilation times can be slower compared to interpreted languages, particularly for larger codebases. This can impact development workflows and iteration speed.
  • Binary Size
    Compiled Crystal programs tend to generate larger binary sizes compared to other compiled languages like Go or Rust. This can be a consideration for resource-constrained environments.
  • Platform Support
    Being less mature, Crystal may have fewer options for platform-specific optimizations and integrations, which could limit its use in certain specialized applications.
  • Tooling
    Although the situation is improving, Crystal's tooling ecosystem is not as mature as those of older languages. This can affect the availability and quality of IDE support, debugging tools, and other development aids.

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.

Crystal (programming language) videos

No Crystal (programming language) videos yet. You could help us improve this page by suggesting one.

Add video

Numba videos

+ Add

The Criminal History of RondoNumbaNine

More videos:

  • Review - lucky numba review
  • Review - RondoNumbaNine - Free RondoNumbaNine "Clint Massey” (Official Interview - WSHH Exclusive)

Category Popularity

0-100% (relative to Crystal (programming language) and Numba)

Crystal (programming language)

Numba

Programming Language
84 84%
Programming Language
16% 16
Website Builder
0 0%
Website Builder
100% 100
OOP
100 100%
OOP
0% 0
Website Design
0 0%
Website Design
100% 100

User comments

Share your experience with using Crystal (programming language) and Numba. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Crystal (programming language) might be a bit more popular than Numba. We know about 114 links to it since March 2021 and only 93 links to Numba. 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.

Crystal (programming language) mentions (114)

  • Rhombus Language
    Did you ever see Crystal? It's more or less a typed Ruby. I've heard that you can port some code directly. https://crystal-lang.org/. - Source: Hacker News / about 2 months ago
  • Tiny JITs for a Faster FFI
    If you like the Ruby syntax (but want a statically typed language), you might want to take a look at Crystal: https://crystal-lang.org/ > Crystal is statically typed and type errors are caught early by the compiler, eliminating a range of type-related errors at runtime. - Source: Hacker News / 3 months ago
  • Advent of Code #1 (in Gleam)
    I really enjoyed using Crystal last year. It is a very ergonomic language with a featureful standard library. I was tempted to use it again this year, but I figured I should use this opportunity to try something new. After considering several languages including Go, F#, Nim, and Raku, I decided to go with Gleam. - Source: dev.to / 5 months ago
  • Understanding Ruby 3.3 Concurrency: A Comprehensive Guide
    Also check https://crystal-lang.org/ which aims for ruby like syntax/dx but almost native performance. - Source: Hacker News / 6 months ago
  • Crystal 1.11.0 Is Released
    I like the first code example on https://crystal-lang.org 
        # A very basic HTTP server.
    - Source: Hacker News / over 1 year 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 Crystal (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...

Loading...