NumPy VS Numba

Compare NumPy vs Numba and see what are their differences.


The fundamental package for scientific computing with Python. (by numpy)
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NumPy Numba
272 124
26,510 9,512
1.4% 1.7%
10.0 9.9
5 days ago 4 days ago
Python Python
GNU General Public License v3.0 or later BSD 2-clause "Simplified" 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.
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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.


Posts with mentions or reviews of NumPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-20.


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 | | 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 | | 31 Jul 2023
    Simulations are, at least in my experience, numba’s [0] wheelhouse.


  • Any data folks coding C++ and Java? If so, why did you leave Python?
    1 project | /r/quant | 12 Jul 2023
    That's very cool. Numba introduces just-in-time compilation to Python via decorators and its sole reason for being is to turn everything it can into abstract syntax trees.
  • Using Matplotlib with Numba to accelerate code
    1 project | /r/pythonhelp | 22 Jun 2023
  • Python Algotrading with Machine Learning
    4 projects | | 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 | | 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"






  • This new programming language has the potential to make python (the dominant language for AI) run 35,000X faster.
    1 project | /r/singularity | 5 May 2023
    For the benefit of future readers:
  • 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.
  • Numba Supports Python 3.11
    1 project | | 22 Mar 2023

What are some alternatives?

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

SymPy - A computer algebra system written in pure Python

NetworkX - Network Analysis in Python

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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

blaze - NumPy and Pandas interface to Big Data

Dask - Parallel computing with task scheduling

SciPy - SciPy library main repository

cupy - NumPy & SciPy for GPU

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).

Pyjion - Pyjion - A JIT for Python based upon CoreCLR

manim - Animation engine for explanatory math videos