Skip to content
numbaPublic

About

A lightweight LLVM python binding for writing JIT compilers

Resources

Stars

2.3k stars

Watchers

51 watching

Forks

Latest commit

 

History

3,198 Commits

Folders and files

Repository files navigation

llvmlite

Azure Pipelines Coveralls.io Readthedocs.io

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 faster than llvmpy thanks to a much simpler architecture (the Numba test suite is twice faster than it was).

Compatibility

llvmlite has been tested with Python 3.10 -- 3.15 and is likely to work with greater versions.

As of version 0.48.0, llvmlite requires LLVM 22.x.x on all architectures

Historical compatibility table:

llvmlite versions compatible LLVM versions
0.48.0 - ...... 22.x.x
0.45.0 - 0.47.x 20.x.x
0.44.0 15.x.x and 16.x.x
0.41.0 - 0.43.0 14.x.x
0.40.0 - 0.40.1 11.x.x and 14.x.x (12.x.x and 13.x.x untested but may work)
0.37.0 - 0.39.1 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

About

A lightweight LLVM python binding for writing JIT compilers

Resources

Stars

2.3k stars

Watchers

51 watching

Forks

Releases

Packages

Used by

Contributors

Languages