numba/numba

NumPy aware dynamic Python compiler using LLVM

11,150

stars

25,580

commits

Python

primary language

Sep 11, 2026

updated

numba.pydata.org/
compiler
cuda
llvm
numba
numpy
parallel
python

README

*****
Numba
*****

.. image:: https://img.shields.io/badge/discuss-on%20discourse-blue
   :target: https://numba.discourse.group/
   :alt: Discourse

.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.4343230.svg
   :target: https://doi.org/10.5281/zenodo.4343230
   :alt: Zenodo

.. image:: https://img.shields.io/pypi/v/numba.svg
   :target: https://pypi.python.org/pypi/numba/
   :alt: PyPI

.. image:: https://dev.azure.com/numba/numba/_apis/build/status/numba.numba?branchName=main
    :target: https://dev.azure.com/numba/numba/_build/latest?definitionId=1?branchName=main
    :alt: Azure Pipelines

A Just-In-Time Compiler for Numerical Functions in Python
#########################################################

Numba is an open source, NumPy-aware optimizing compiler for Python sponsored
by Anaconda, Inc.  It uses the LLVM compiler project to generate machine code
from Python syntax.

Numba can compile a large subset of numerically-focused Python, including many
NumPy functions.  Additionally, Numba has support for automatic
parallelization of loops, generation of GPU-accelerated code, and creation of
ufuncs and C callbacks.

For more information about Numba, see the Numba homepage:
https://numba.pydata.org and the online documentation:
https://numba.readthedocs.io/en/stable/index.html

Installation
============

Please follow the instructions:

https://numba.readthedocs.io/en/stable/user/installing.html

Demo
====

Please have a look and the demo notebooks via the mybinder service:

https://mybinder.org/v2/gh/numba/numba-examples/master?filepath=notebooks

Contact
=======

Numba has a discourse forum for discussions:

* https://numba.discourse.group

Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.

Contributors

(top 30 of 340)

sklam

6,396 commits

stuartarchibald

3,011 commits

pitrou

2,143 commits

markflorisson

1,851 commits

numba/numba

NumPy aware dynamic Python compiler using LLVM

11,150

stars

25,580

commits

Python

primary language

Sep 11, 2026

updated

numba.pydata.org/
compiler
cuda
llvm
numba
numpy
parallel
python

README

*****
Numba
*****

.. image:: https://img.shields.io/badge/discuss-on%20discourse-blue
   :target: https://numba.discourse.group/
   :alt: Discourse

.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.4343230.svg
   :target: https://doi.org/10.5281/zenodo.4343230
   :alt: Zenodo

.. image:: https://img.shields.io/pypi/v/numba.svg
   :target: https://pypi.python.org/pypi/numba/
   :alt: PyPI

.. image:: https://dev.azure.com/numba/numba/_apis/build/status/numba.numba?branchName=main
    :target: https://dev.azure.com/numba/numba/_build/latest?definitionId=1?branchName=main
    :alt: Azure Pipelines

A Just-In-Time Compiler for Numerical Functions in Python
#########################################################

Numba is an open source, NumPy-aware optimizing compiler for Python sponsored
by Anaconda, Inc.  It uses the LLVM compiler project to generate machine code
from Python syntax.

Numba can compile a large subset of numerically-focused Python, including many
NumPy functions.  Additionally, Numba has support for automatic
parallelization of loops, generation of GPU-accelerated code, and creation of
ufuncs and C callbacks.

For more information about Numba, see the Numba homepage:
https://numba.pydata.org and the online documentation:
https://numba.readthedocs.io/en/stable/index.html

Installation
============

Please follow the instructions:

https://numba.readthedocs.io/en/stable/user/installing.html

Demo
====

Please have a look and the demo notebooks via the mybinder service:

https://mybinder.org/v2/gh/numba/numba-examples/master?filepath=notebooks

Contact
=======

Numba has a discourse forum for discussions:

* https://numba.discourse.group

Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.

See what people are saying

Contributors

(top 30 of 340)

sklam

6,396 commits

stuartarchibald

3,011 commits

pitrou

2,143 commits

markflorisson

1,851 commits

Languages

Python

90.5%

C

6.4%

C++

2.8%