Development Status
- 4 - Beta
Intended Audience
- Developers
License
- OSI Approved :: BSD License
Operating System
- OS Independent
Programming Language
- Python
- Python :: 3
- Python :: 3.7
- Python :: 3.8
- Python :: 3.9
- Python :: 3.10
Topic
- Software Development :: Compilers
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
Supported Platforms
Operating systems and CPUs:
Linux: x86 (32-bit), x86_64, ppc64le (POWER8 and 9), ARMv7 (32-bit), ARMv8 (64-bit).
Windows: x86, x86_64.
macOS: x86_64, (M1/Arm64, unofficial support only).
*BSD: (unofficial support only).
(Optional) Accelerators and GPUs:
NVIDIA GPUs (Kepler architecture or later) via CUDA driver on Linux and Windows.
Dependencies
Python versions: 3.7-3.10
llvmlite 0.38.*
NumPy >=1.18,<1.22 (can build with 1.11 for ABI compatibility).
Optionally:
SciPy >=1.0.0 (for numpy.linalg support).
Installing
The easiest way to install Numba and get updates is by using the Anaconda Distribution: https://www.anaconda.com/download
$ conda install numba
For more options, see the Installation Guide: https://numba.readthedocs.io/en/stable/user/installing.html
Documentation
Contact
Numba has a discourse forum for discussions:
