A Lightweight LLVM Python Binding for Writing JIT Compilers
llvmlite is a project originally tailored for Numba’s needs, using the following approach:
A small C wrapper around the parts of the LLVM C++ API we need that are not already exposed by the LLVM C API.
A ctypes Python wrapper around the C API.
A pure Python implementation of the subset of the LLVM IR builder that we need for Numba.
Why llvmlite
The old llvmpy binding exposes a lot of LLVM APIs but the mapping of C++-style memory management to Python is error prone. Numba and many JIT compilers do not need a full LLVM API. Only the IR builder, optimizer, and JIT compiler APIs are necessary.
Key Benefits
The IR builder is pure Python code and decoupled from LLVM’s frequently-changing C++ APIs.
Materializing a LLVM module calls LLVM’s IR parser which provides better error messages than step-by-step IR building through the C++ API (no more segfaults or process aborts).
Most of llvmlite uses the LLVM C API which is small but very stable (low maintenance when changing LLVM version).
The binding is not a Python C-extension, but a plain DLL accessed using ctypes (no need to wrestle with Python’s compiler requirements and C++ 11 compatibility).
The Python binding layer has sane memory management.
llvmlite is quite faster than llvmpy’s thanks to a much simpler architeture (the Numba test suite is twice faster than it was).
llvmpy Compatibility Layer
The llvmlite.llvmpy namespace provides a minimal llvmpy compatibility layer.
Compatibility
llvmlite works with Python 3.7 and greater.
As of version 0.37.0, llvmlite requires LLVM 11.x.x on all architectures
Historical compatibility table:
llvmlite versions |
compatible LLVM versions |
|---|---|
0.37.0 - … |
11.x.x |
0.34.0 - 0.36.0 |
10.0.x (9.0.x for aarch64 only) |
0.33.0 |
9.0.x |
0.29.0 - 0.32.0 |
7.0.x, 7.1.x, 8.0.x |
0.27.0 - 0.28.0 |
7.0.x |
0.23.0 - 0.26.0 |
6.0.x |
0.21.0 - 0.22.0 |
5.0.x |
0.17.0 - 0.20.0 |
4.0.x |
0.16.0 - 0.17.0 |
3.9.x |
0.13.0 - 0.15.0 |
3.8.x |
0.9.0 - 0.12.1 |
3.7.x |
0.6.0 - 0.8.0 |
3.6.x |
0.1.0 - 0.5.1 |
3.5.x |
Documentation
You’ll find the documentation at http://llvmlite.pydata.org
Pre-built binaries
We recommend you use the binaries provided by the Numba team for the Conda package manager. You can find them in Numba’s anaconda.org channel. For example:
$ conda install --channel=numba llvmlite
(or, simply, the official llvmlite package provided in the Anaconda distribution)
Other build methods
If you don’t want to use our pre-built packages, you can compile and install llvmlite yourself. The documentation will teach you how: http://llvmlite.pydata.org/en/latest/install/index.html
Release files for llvmlite 0.39.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llvmlite-0.39.1.tar.gz | 132.8 kB | Details |
Built distributions (wheels)
Total release size:765.0 MB
Release files / llvmlite-0.39.1.tar.gz
| Download URL | llvmlite-0.39.1.tar.gz |
|---|---|
| Size | 132.8 kB |
| Tags | Source |
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Release files / llvmlite-0.39.1-cp310-cp310-win_amd64.whl
| Download URL | llvmlite-0.39.1-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 23.2 MB |
| Tags | CPython 3.10 Windows x86-64 |
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Release files / llvmlite-0.39.1-cp310-cp310-win32.whl
| Download URL | llvmlite-0.39.1-cp310-cp310-win32.whl |
|---|---|
| Size | 19.1 MB |
| Tags | CPython 3.10 Windows x86-32 |
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Release files / llvmlite-0.39.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | llvmlite-0.39.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 34.6 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
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Release files / llvmlite-0.39.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | llvmlite-0.39.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl |
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| Tags | CPython 3.10 Linux glibc 2.17+ x86-32 |
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Release files / llvmlite-0.39.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | llvmlite-0.39.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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| Tags | CPython 3.10 Linux glibc 2.17+ ARM64 |
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Release files / llvmlite-0.39.1-cp310-cp310-macosx_11_0_arm64.whl
| Download URL | llvmlite-0.39.1-cp310-cp310-macosx_11_0_arm64.whl |
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Release files / llvmlite-0.39.1-cp310-cp310-macosx_10_9_x86_64.whl
| Download URL | llvmlite-0.39.1-cp310-cp310-macosx_10_9_x86_64.whl |
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Release files / llvmlite-0.39.1-cp39-cp39-win_amd64.whl
| Download URL | llvmlite-0.39.1-cp39-cp39-win_amd64.whl |
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Release files / llvmlite-0.39.1-cp39-cp39-win32.whl
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Release files / llvmlite-0.39.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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Release files / llvmlite-0.39.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / llvmlite-0.39.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / llvmlite-0.39.1-cp39-cp39-macosx_11_0_arm64.whl
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Release files / llvmlite-0.39.1-cp38-cp38-win_amd64.whl
| Download URL | llvmlite-0.39.1-cp38-cp38-win_amd64.whl |
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| Download URL | llvmlite-0.39.1-cp38-cp38-win32.whl |
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Release files / llvmlite-0.39.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / llvmlite-0.39.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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No |
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Release files / llvmlite-0.39.1-cp38-cp38-macosx_10_9_x86_64.whl
| Download URL | llvmlite-0.39.1-cp38-cp38-macosx_10_9_x86_64.whl |
|---|---|
| Size | 25.5 MB |
| Tags | CPython 3.8 macOS 10.9+ 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 |
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Release files / llvmlite-0.39.1-cp37-cp37m-win_amd64.whl
| Download URL | llvmlite-0.39.1-cp37-cp37m-win_amd64.whl |
|---|---|
| Size | 23.2 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
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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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No |
| Uploaded via |
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Release files / llvmlite-0.39.1-cp37-cp37m-win32.whl
| Download URL | llvmlite-0.39.1-cp37-cp37m-win32.whl |
|---|---|
| Size | 19.1 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-32 |
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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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 34.6 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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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 37.5 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 |
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Release files / llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 33.8 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / llvmlite-0.39.1-cp37-cp37m-macosx_10_9_x86_64.whl
| Download URL | llvmlite-0.39.1-cp37-cp37m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 25.5 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 |
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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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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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