Nim VS Numba

Compare Nim vs Numba and see what are their differences.

Nim

Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority). (by nim-lang)

Numba

NumPy aware dynamic Python compiler using LLVM (by numba)
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Nim Numba
346 124
16,005 9,350
0.9% 1.7%
9.9 9.9
2 days ago 6 days ago
Nim Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Nim

Posts with mentions or reviews of Nim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-06.

Numba

Posts with mentions or reviews of Numba. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-27.
  • Mojo🔥: Head -to-Head with Python and Numba
    2 projects | dev.to | 27 Sep 2023
    Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code.
  • Is anyone using PyPy for real work?
    13 projects | news.ycombinator.com | 31 Jul 2023
    Simulations are, at least in my experience, numba’s [0] wheelhouse.

    [0]: https://numba.pydata.org/

  • Python Algotrading with Machine Learning
    4 projects | dev.to | 30 May 2023
    A super-fast backtesting engine built in NumPy and accelerated with Numba.
  • PYTHON vs OCTAVE for Matlab alternative
    3 projects | /r/math | 22 May 2023
    Regarding speed, I don't agree this is a good argument against Python. For example, it seems no one here has yet mentioned numba, a Python JIT compiler. With a simple decorator you can compile a function to machine code with speeds on par with C. Numba also allows you to easily write cuda kernels for GPU computation. I've never had to drop down to writing C or C++ to write fast and performant Python code that does computationally demanding tasks thanks to numba.
  • Codon: Python Compiler
    9 projects | news.ycombinator.com | 8 May 2023
    Just for reference,

    * Nuitka[0] "is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11."

    * Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles.

    * Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... makes writing C extensions for Python as easy as Python itself."

    * Numba[3] "is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code."

    * Pyston[4] "is a performance-optimizing JIT for Python, and is drop-in compatible with ... CPython 3.8.12"

    [0] https://github.com/Nuitka/Nuitka

    [1] https://www.pypy.org/

    [2] https://cython.org/

    [3] https://numba.pydata.org/

    [4] https://github.com/pyston/pyston

  • Two-tier programming language
    6 projects | /r/ProgrammingLanguages | 19 Apr 2023
    Taichi (similar to numba) is a python library that allows you to write high speed code within python. So your program consists of slow python that gets interpreted regularly, and fast python (fully type annotated and restricted to a subset of the language) that gets parallellized and jitted for CPU or GPU. And you can mix the two within the same source file.
  • Been using Python for 3 years, never used a Class.
    2 projects | /r/learnpython | 15 Mar 2023
    There are also just-in-time compilers available for some Python features, that compile those parts to machine code. That includes Numba (usable as a library within CPython) and Pypy (an alternative Python implementation that includes a JIT compiler to improve performance). There’s also Cython, which is a superset of Python that allows more directly interfacing with C and C++ functions, and compiling the resulting combined code.
  • Is there a language with lisp syntax but C semantics?
    7 projects | /r/lisp | 1 Mar 2023
    this was a submission from u/bpecsek and shows that lisp with sbcl can do quite well on bench-marking. but keep in mind that these sort of benchmarks can't tell you much about real world applications. moreover if you are really concerned about niche performance you need to start thinking about compilers. heck with an appropriate compiler even python can go wrooom
  • [D] Yann LeCun's Hot Take about programming languages for ML
    3 projects | /r/MachineLearning | 23 Feb 2023
  • Python Developer Seeking Input: Is it Worth Learning Rust for FFI?
    6 projects | /r/rust | 21 Feb 2023
    - if no purpose built libraries are faster, use numba (http://numba.pydata.org/) to speed up your code. Optionally you can also use Taichi (https://www.taichi-lang.org/) instead of numba.

What are some alternatives?

When comparing Nim and Numba you can also consider the following projects:

zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.

NetworkX - Network Analysis in Python

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

go - The Go programming language

Dask - Parallel computing with task scheduling

cupy - NumPy & SciPy for GPU

Pyjion - Pyjion - A JIT for Python based upon CoreCLR

SymPy - A computer algebra system written in pure Python

statsmodels - Statsmodels: statistical modeling and econometrics in Python

Odin - Odin Programming Language

rust - Empowering everyone to build reliable and efficient software.

crystal - The Crystal Programming Language