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A lightweight LLVM python binding for writing JIT compilers

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.

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.

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 2.7 and Python 3.4 or greater.

As of version 0.29.0, llvmlite requires LLVM 7.0.x or later

Historical compatibility table:

llvmlite versions

compatible LLVM versions

0.29.0 - …

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

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.48.0)

4 maintainers

PyPI data
Data sourced directly from PyPI's database.
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Credits

Author: Continuum Analytics, Inc.

License

BSD

Classifiers

Report project as malware

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0.49.0rc1 pre-release

0.48.0

0.48.0rc1 pre-release

0.47.0

0.47.0rc1 pre-release

0.46.0

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0.46.0b1 pre-release

0.45.1

0.45.0

0.45.0rc2 pre-release

0.45.0rc1 pre-release

0.44.0

0.44.0rc2 pre-release

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0.43.0

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0.42.0

0.42.0rc1 pre-release

0.41.1

0.41.0

0.41.0rc1 pre-release

0.40.1

0.40.1rc1 pre-release

0.40.0

0.40.0rc1 pre-release

0.39.1

0.39.0

0.38.1

0.38.0

0.37.0

0.36.0

0.35.0

0.34.0

0.33.0

0.32.1

0.32.0

0.31.0

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0.30.0

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0.28.0

0.27.1

0.27.0

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0.23.2

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0.17.1

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0.12.1

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