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:
Continuous Integration
5 maintainers
Release files for numba 0.55.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numba-0.55.1.tar.gz | 2.3 MB | Details |
Built distributions (wheels)
Total release size: 69.0 MB
Release files / numba-0.55.1.tar.gz
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| Tags | Source |
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Release files / numba-0.55.1-cp310-cp310-win_amd64.whl
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Release files / numba-0.55.1-cp310-cp310-win32.whl
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Release files / numba-0.55.1-cp310-cp310-macosx_10_14_x86_64.whl
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Release files / numba-0.55.1-cp39-cp39-win_amd64.whl
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Release files / numba-0.55.1-cp39-cp39-macosx_10_14_x86_64.whl
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| Size | 3.3 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5
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Release files / numba-0.55.1-1-cp37-cp37m-manylinux2014_i686.manylinux_2_17_i686.whl
| Download URL | numba-0.55.1-1-cp37-cp37m-manylinux2014_i686.manylinux_2_17_i686.whl |
|---|---|
| Size | 3.0 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5
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Release files / numba-0.55.1-1-cp37-cp37m-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
| Download URL | numba-0.55.1-1-cp37-cp37m-manylinux2014_aarch64.manylinux_2_17_aarch64.whl |
|---|---|
| Size | 3.2 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.5
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