llvmlite

lightweight wrapper around basic LLVM functionality

These details have been verified by PyPI

Maintainers

esc kc611 seibert Siu.Kwan.Lam

These details have not been verified by PyPI

Project links

Project description

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).

Compatibility

llvmlite works with Python 3.8 and greater. We attempt to test with the latest Python version, this can be checked by looking at the public CI builds.

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

Project details

These details have been verified by PyPI

Maintainers

esc kc611 seibert Siu.Kwan.Lam

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

0.43.0

Jun 13, 2024

0.43.0rc1 pre-release

May 15, 2024

0.42.0

Jan 31, 2024

0.42.0rc1 pre-release

Dec 13, 2023

0.41.1

Oct 18, 2023

0.41.0

Sep 21, 2023

0.41.0rc1 pre-release

Aug 18, 2023

0.40.1

Jun 21, 2023

This version

0.40.1rc1 pre-release

Jun 8, 2023

0.40.0

May 2, 2023

0.40.0rc1 pre-release

Apr 6, 2023

0.39.1

Sep 2, 2022

0.39.0

Jul 26, 2022

0.38.1

May 20, 2022

0.38.0

Jan 13, 2022

0.37.0

Aug 20, 2021

0.36.0

Mar 12, 2021

0.35.0

Dec 1, 2020

0.34.0

Aug 13, 2020

0.33.0

Jun 11, 2020

0.32.1

May 8, 2020

0.32.0

Apr 17, 2020

0.31.0

Jan 3, 2020

0.30.0

Oct 10, 2019

0.29.0

May 30, 2019

0.28.0

Mar 13, 2019

0.27.1

Feb 1, 2019

0.27.0

Dec 31, 2018

0.26.0

Nov 28, 2018

0.25.0

Sep 21, 2018

0.24.0

Jul 10, 2018

0.23.2

Jun 1, 2018

0.23.0

Apr 25, 2018

0.22.0

Feb 19, 2018

0.21.0

Dec 8, 2017

0.20.0

Sep 8, 2017

0.19.0

Jul 7, 2017

0.18.0

May 4, 2017

0.17.1

Apr 12, 2017

0.17.0

Apr 10, 2017

0.16.0

Feb 17, 2017

0.15.0

Dec 22, 2016

0.14.0

Oct 18, 2016

0.13.0

Aug 24, 2016

0.12.1

Jul 8, 2016

0.12.0

Jul 6, 2016

0.11.0

May 24, 2016

0.10.0

Mar 31, 2016

0.9.0

Feb 29, 2016

0.8.0

Oct 23, 2015

0.7.0

Aug 31, 2015

0.6.0

Jul 2, 2015

0.5.0

Jun 5, 2015

0.4.0

Apr 13, 2015

0.2.2

Jan 29, 2015

0.2.1

Dec 19, 2014

0.2.0

Dec 17, 2014

0.1

Oct 28, 2014

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llvmlite-0.40.1rc1.tar.gz (136.4 kB view details)

Uploaded Jun 8, 2023 Source

Built Distributions

llvmlite-0.40.1rc1-cp311-cp311-win_amd64.whl (27.7 MB view details)

Uploaded Jun 8, 2023 CPython 3.11 Windows x86-64

llvmlite-0.40.1rc1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (42.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.11 manylinux: glibc 2.17+ x86-64

llvmlite-0.40.1rc1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (41.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.11 manylinux: glibc 2.17+ ARM64

llvmlite-0.40.1rc1-cp311-cp311-macosx_11_0_arm64.whl (28.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.11 macOS 11.0+ ARM64

llvmlite-0.40.1rc1-cp311-cp311-macosx_10_9_x86_64.whl (30.4 MB view details)

Uploaded Jun 8, 2023 CPython 3.11 macOS 10.9+ x86-64

llvmlite-0.40.1rc1-cp310-cp310-win_amd64.whl (27.7 MB view details)

Uploaded Jun 8, 2023 CPython 3.10 Windows x86-64

llvmlite-0.40.1rc1-cp310-cp310-win32.whl (23.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.10 Windows x86

llvmlite-0.40.1rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (42.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

llvmlite-0.40.1rc1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (41.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.10 manylinux: glibc 2.17+ ARM64

llvmlite-0.40.1rc1-cp310-cp310-macosx_11_0_arm64.whl (28.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.10 macOS 11.0+ ARM64

llvmlite-0.40.1rc1-cp310-cp310-macosx_10_9_x86_64.whl (30.4 MB view details)

Uploaded Jun 8, 2023 CPython 3.10 macOS 10.9+ x86-64

llvmlite-0.40.1rc1-cp39-cp39-win_amd64.whl (27.7 MB view details)

Uploaded Jun 8, 2023 CPython 3.9 Windows x86-64

llvmlite-0.40.1rc1-cp39-cp39-win32.whl (23.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.9 Windows x86

llvmlite-0.40.1rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (42.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.9 manylinux: glibc 2.17+ x86-64

llvmlite-0.40.1rc1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (41.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.9 manylinux: glibc 2.17+ ARM64

llvmlite-0.40.1rc1-cp39-cp39-macosx_11_0_arm64.whl (28.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.9 macOS 11.0+ ARM64

llvmlite-0.40.1rc1-cp39-cp39-macosx_10_9_x86_64.whl (30.4 MB view details)

Uploaded Jun 8, 2023 CPython 3.9 macOS 10.9+ x86-64

llvmlite-0.40.1rc1-cp38-cp38-win_amd64.whl (27.7 MB view details)

Uploaded Jun 8, 2023 CPython 3.8 Windows x86-64

llvmlite-0.40.1rc1-cp38-cp38-win32.whl (23.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.8 Windows x86

llvmlite-0.40.1rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (42.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.8 manylinux: glibc 2.17+ x86-64

llvmlite-0.40.1rc1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (41.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.8 manylinux: glibc 2.17+ ARM64

llvmlite-0.40.1rc1-cp38-cp38-macosx_11_0_arm64.whl (28.1 MB view details)

Uploaded Jun 8, 2023 CPython 3.8 macOS 11.0+ ARM64

llvmlite-0.40.1rc1-cp38-cp38-macosx_10_9_x86_64.whl (30.4 MB view details)

Uploaded Jun 8, 2023 CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file llvmlite-0.40.1rc1.tar.gz.

File metadata

Download URL: llvmlite-0.40.1rc1.tar.gz
Upload date: Jun 8, 2023
Size: 136.4 kB
Tags: Source
Uploaded using 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

File hashes

Hashes for llvmlite-0.40.1rc1.tar.gz
Algorithm	Hash digest
SHA256	`8a6465075a0449fd802c9274130abb4f4ccf926972e84e8eac365769b7ec48fc`
MD5	`eafe52eb44ddf51a0bf91a07b28f2555`
BLAKE2b-256	`85ed113a076a6310ccd0375cef1bbca35622de6486ce474d589cfb1b20b2bdff`

Algorithm	Hash digest
SHA256	`957c5f18726362fd2426f39997b9090c88a6a1cb11d4330b50b4946fa0c857a7`
MD5	`4c6090c2316171dba1290495ac0a6bc1`
BLAKE2b-256	`b52bec54ee015c37d2c3e7c430c8a13c4ac7f5e474c2fed38fe172124278ffd0`

Algorithm	Hash digest
SHA256	`3bc15e54522695ef16b5225cb40e89ef7f80d2d37cb0a8ddf3ffe3200fa238ff`
MD5	`9e4fd3b1984405e9bc006cc8fa3ccf6f`
BLAKE2b-256	`9cf68dddb8eb855b30f18a3a4b4fbd263886b617a28d37a2b600e4eeae154e98`

Algorithm	Hash digest
SHA256	`0475c5107334cf528c607275e0e1cd7836c31fe07c6e45994cd02dd45a95e3b1`
MD5	`6eecf055cb4683727170d428ed1afc62`
BLAKE2b-256	`c8a6d048f7b2aef4534ec27012807fb1ee477e6042d2b76644081df43ed4562c`

Algorithm	Hash digest
SHA256	`2b8ceb9c436acdc87c3f5ab2dd6e3d003cf938abf55d3470d059abd99dee63d3`
MD5	`7d19948d3d72bc197b880ca8764294e0`
BLAKE2b-256	`c237537fe00fed369360c28197294ba18af4a12e50b022ba7393f944eee04a5f`

Algorithm	Hash digest
SHA256	`239eaeef72267566538b9f4cba8a41fb3e39ac99881c2a9a8100aff60c645edb`
MD5	`d85d3127d038d0ece50eca181be66e55`
BLAKE2b-256	`39487971f5d02957c24691b6c970d64e627aebf294bf28945517995db3979f24`

Algorithm	Hash digest
SHA256	`a775e87d6ee6f6fcdae5ead0dec171243719002fc39c500c4813babb3609f6d9`
MD5	`66d26f067af5eba569593c2ea9de90b2`
BLAKE2b-256	`cec0b00cc20b1021bfc56bb17fabe02515e340588521fab901b4305e313fc346`

Algorithm	Hash digest
SHA256	`84f5c569fdcc503a7ce5018d2115ebac3a385743774ed22c6cc8dade673eae33`
MD5	`ec70c581b40922815ca2fd4a2dc051c0`
BLAKE2b-256	`9281df18be26cd160a554bead6815cb5b0ab303c09a20611741791f207a92f01`

Algorithm	Hash digest
SHA256	`659b400cf61e567c5c30159f60eac8562133bf5e497f481388d22e6b5dd00044`
MD5	`e3902fdceb4922656614b8ee551d7222`
BLAKE2b-256	`c6aa22e21f0f9d704db229618cdb6a1ac3e2a55881a96d767c9b8330dd3ea4d0`

Algorithm	Hash digest
SHA256	`94043bb283395963b48fa964c776670889084be5117cbc4f831ab357005365d1`
MD5	`438366e00dd05f55cc5df3bc15fc62cf`
BLAKE2b-256	`1505d07f289db369826235836b14add5e69ea73a51544c220170e110496815e6`

Algorithm	Hash digest
SHA256	`d08de4135dd8652f46de42e795b744dcad8cc11de3b6044a7326a61636887655`
MD5	`670272cde03c7cb98fc3ca4237425363`
BLAKE2b-256	`5921d752a3c72f28d4d91238fc4f2117dda1af299a801399cb4394ce0e8b2e96`

Algorithm	Hash digest
SHA256	`31b606ae4923a897fe7122fe9a75fa39713279e796b335b83cb929c5d9e8661b`
MD5	`b577ca86ceda390d9a84ac9cd20bdc38`
BLAKE2b-256	`4851999fce5eccf5a3b1cc8c217565cba10012a482c824b872ca3bcaadec4472`

Algorithm	Hash digest
SHA256	`da0b97219fa1053ab9a964e4703fcfca4ef6077614e7dce21de71bbbe6e4a4e9`
MD5	`22e662957ff553529b95039c9bf6b56e`
BLAKE2b-256	`6ed65c250430a2f6fdb7c72d235d05918168bbb598a1ea88ff815d93a113cc6d`

Algorithm	Hash digest
SHA256	`b047d0e35b61dcbeaa1a86afac696c2dd9ca48430cb63638417e837cc1f0e60a`
MD5	`f5e962088b1970cc9ef6e2f782df7680`
BLAKE2b-256	`b9fd39971ccaec817f0ddb17f8bb4c155533c3de1a8adb64b2516eff8c1b3ea5`

Algorithm	Hash digest
SHA256	`86e9060e28796c0b38a73f59802d0f6af31a1bb7c6e3b766cb96237d862fe26c`
MD5	`bbdf003cc9fa435f9db3a00a32c80961`
BLAKE2b-256	`fcc046363d3f5ffa3846398b0919bd45894f3e0beb0f109a77e2c5afb8d550b3`

Algorithm	Hash digest
SHA256	`6e9930a222cd98487dd4e8f916c3c92c0311ea294136fc4f3cd0bab6265e28b0`
MD5	`89254d0ecb09c815f147fea23a90c110`
BLAKE2b-256	`e13e14a48c26e2153a8260bad7eee10cabad0c6c08d53bc4cdb6ed832f8b7247`

Algorithm	Hash digest
SHA256	`2daa1de68d1bc0fd78757bb01a96c434373dca83d28460ff16b1accb1f171aff`
MD5	`10867251b2d908858ef2257704c62964`
BLAKE2b-256	`2eee57a9f3ec53231e5a3c4368e2a411b7f4f30abacf92e85f72efd011bb1dbd`

Algorithm	Hash digest
SHA256	`d5ad3dd8a0c600533650e14cc908874c2dbeca5ea749acfc262564f15586dc94`
MD5	`fe3e545be1ba43ace3cf89276e49be40`
BLAKE2b-256	`b6d8d6f2fee40cac5f37f329b6161bd8275f9a4a0aae6c0ac5264d55126701e2`

Algorithm	Hash digest
SHA256	`2585ea726f6cd012279ea5a0d84d999e436061dc7df67bdaea1cbae998a16f9f`
MD5	`369f0caf58692c8e997067ab83a285ce`
BLAKE2b-256	`0d42e599e215d95a3f518b471aebdbbc8b2624933f5485508b308f5c382ef269`

Algorithm	Hash digest
SHA256	`92918a7c60bacebf72297b4caeca2bcf2a6cffb50362e915cc1dc202ac556586`
MD5	`33b52928d5a1ee3aa56c586dc29f7b9b`
BLAKE2b-256	`5b35118dc0230a10dc35b92ac9a25366dab04e5c79b42023a56eac8ca00788a7`

Algorithm	Hash digest
SHA256	`f095b6c6e94fcb26705614d9da2267c739118f1e97ba6bb3ea5c9fbc77764171`
MD5	`139d5d49d21b00ef85f26da643aad92d`
BLAKE2b-256	`5f4a5586d0833bbc6a8228c984a883f6acce2ab15224087b4c716338695e87fd`

llvmlite 0.40.1rc1

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

A Lightweight LLVM Python Binding for Writing JIT Compilers

Why llvmlite

Key Benefits

Compatibility

Documentation

Pre-built binaries

Other build methods

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

Algorithm	Hash digest
SHA256	`fae6c6b04ec4d83b5bd3437dd4ef7a9e6d4461437e615fa0895ac355709b6f10`
MD5	`d2507fc5ff3af1ec3f3d61487186a38a`
BLAKE2b-256	`8c7e466143dec32167098e27d27f78038ee58a8cc4fdb238edb884f08dc4d183`

Algorithm	Hash digest
SHA256	`753359a969f0606c30d3ef38988ae46c65ef2d3bcc7afb4ada0c37a2f4416a68`
MD5	`78fbf5d74214494a19f2ab35c168b06f`
BLAKE2b-256	`1490438de496b843ce657d662a129b04da23b55eefc3968097960aa3aef2354c`

Algorithm	Hash digest
SHA256	`38bcca23eb8919279619bebb4db6946f0d3dfedd879dfe9f741041789c83e36b`
MD5	`47366571fb5a4db483e09f04d22cb691`
BLAKE2b-256	`0457eb29eea93b917c21987466f4e4961d2fc27810310a1d1adc44ef7cdb73b6`