Azure Pipelines Code Climate 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 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

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.
Avatar for esc from gravatar.com esc Avatar for kc611 from gravatar.com kc611 Avatar for seibert from gravatar.com seibert
+1 more Avatar for Siu.Kwan.Lam from gravatar.com Siu.Kwan.Lam

License

BSD

Requires

Python >=3.7

Classifiers

Report project as malware

Download files

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

Source Distribution

llvmlite-0.39.1.tar.gz (132.8 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

llvmlite-0.39.1-cp310-cp310-win_amd64.whl (23.2 MB view details)

Uploaded CPython 3.10Windows x86-64

llvmlite-0.39.1-cp310-cp310-win32.whl (19.1 MB view details)

Uploaded CPython 3.10Windows x86

llvmlite-0.39.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

llvmlite-0.39.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (37.5 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

llvmlite-0.39.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (33.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

llvmlite-0.39.1-cp310-cp310-macosx_11_0_arm64.whl (23.1 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

llvmlite-0.39.1-cp310-cp310-macosx_10_9_x86_64.whl (25.5 MB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

llvmlite-0.39.1-cp39-cp39-win_amd64.whl (23.2 MB view details)

Uploaded CPython 3.9Windows x86-64

llvmlite-0.39.1-cp39-cp39-win32.whl (19.1 MB view details)

Uploaded CPython 3.9Windows x86

llvmlite-0.39.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

llvmlite-0.39.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (37.5 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

llvmlite-0.39.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (33.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

llvmlite-0.39.1-cp39-cp39-macosx_11_0_arm64.whl (23.1 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

llvmlite-0.39.1-cp39-cp39-macosx_10_9_x86_64.whl (25.5 MB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

llvmlite-0.39.1-cp38-cp38-win_amd64.whl (23.2 MB view details)

Uploaded CPython 3.8Windows x86-64

llvmlite-0.39.1-cp38-cp38-win32.whl (19.1 MB view details)

Uploaded CPython 3.8Windows x86

llvmlite-0.39.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.6 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

llvmlite-0.39.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (37.5 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

llvmlite-0.39.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (33.8 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

llvmlite-0.39.1-cp38-cp38-macosx_11_0_arm64.whl (23.1 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

llvmlite-0.39.1-cp38-cp38-macosx_10_9_x86_64.whl (25.5 MB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

llvmlite-0.39.1-cp37-cp37m-win_amd64.whl (23.2 MB view details)

Uploaded CPython 3.7mWindows x86-64

llvmlite-0.39.1-cp37-cp37m-win32.whl (19.1 MB view details)

Uploaded CPython 3.7mWindows x86

llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.6 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (37.5 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ i686

llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (33.8 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

llvmlite-0.39.1-cp37-cp37m-macosx_10_9_x86_64.whl (25.5 MB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file llvmlite-0.39.1.tar.gz.

File metadata

  • Download URL: llvmlite-0.39.1.tar.gz
  • Upload date:
  • Size: 132.8 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-0.39.1.tar.gz
Algorithm Hash digest
SHA256 b43abd7c82e805261c425d50335be9a6c4f84264e34d6d6e475207300005d572
MD5 b095ae3e70642167acb4a3d6e05cba3d
BLAKE2b-256 14271468111538f33bd9fb13c0b2c1534c7a487cec8fadf14e318d73be18e4e1

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 23.2 MB
  • Tags: CPython 3.10, Windows x86-64
  • 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-0.39.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 7ebf1eb9badc2a397d4f6a6c8717447c81ac011db00064a00408bc83c923c0e4
MD5 6c063e5b5862292f04f6c761282b4e5c
BLAKE2b-256 902cfd3adee418409d8be7f4de0e183ed5fb0d18359f5a2367906e659b03b669

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 19.1 MB
  • Tags: CPython 3.10, Windows x86
  • 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-0.39.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 d0bfd18c324549c0fec2c5dc610fd024689de6f27c6cc67e4e24a07541d6e49b
MD5 e2edbe647264d5ddd26d3690863c2d4d
BLAKE2b-256 091f629a04882c9b3dea4848337b80c9b550d8c713dce87528f7f8c3ab3b277f

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.39.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 16f56eb1eec3cda3a5c526bc3f63594fc24e0c8d219375afeb336f289764c6c7
MD5 f1b3e94595f9868bd026a4293316efa9
BLAKE2b-256 91386b50b0a8ef737083dc2f4a359d42282b2fb104dae97674dcfc85a48c693b

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 37.5 MB
  • Tags: CPython 3.10, manylinux: glibc 2.17+ i686
  • 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-0.39.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e2c00ff204afa721b0bb9835b5bf1ba7fba210eefcec5552a9e05a63219ba0dc
MD5 39b4207ec1e0c5984c59c05b67f5a4a4
BLAKE2b-256 827d479ea497d2b453064c28e531339c070d70a4a92b8674dd587ab4e126d618

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.39.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a3f331a323d0f0ada6b10d60182ef06c20a2f01be21699999d204c5750ffd0b4
MD5 c3b680a48a5a15ef19b716be30f74c89
BLAKE2b-256 3683b5125da6f8f59c9ed77e259444e30c67da3f287938a20a61ccaa8e0591e9

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 23.1 MB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • 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-0.39.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ddab526c5a2c4ccb8c9ec4821fcea7606933dc53f510e2a6eebb45a418d3488a
MD5 3b8bbcefb2ed7aeaa30f39884d809855
BLAKE2b-256 d986685e82d14156becc7d260a80b46af3a079004f51657e4a2957cf872445cb

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 25.5 MB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • 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-0.39.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6717c7a6e93c9d2c3d07c07113ec80ae24af45cde536b34363d4bcd9188091d9
MD5 1d44de695c1affc1fdefa692e5529c53
BLAKE2b-256 d8fb7bb4a1fa11420dd01fdd8c370a5f2c812a70f1f8acf5a45c2b4c2c9d6338

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 23.2 MB
  • Tags: CPython 3.9, Windows x86-64
  • 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-0.39.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3fc14e757bc07a919221f0cbaacb512704ce5774d7fcada793f1996d6bc75f2a
MD5 e37b5d89930322045a3879eecd3541e0
BLAKE2b-256 c838a65240eacb5a0e092b13e09a9466f8759654825a850d1b4cb28a6f932722

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 19.1 MB
  • Tags: CPython 3.9, Windows x86
  • 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-0.39.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 03aee0ccd81735696474dc4f8b6be60774892a2929d6c05d093d17392c237f32
MD5 f3ed14777664743645eb806425ce43dd
BLAKE2b-256 ca2f408d0c5583a5ebb3ca79c13c47b06c77084558c51d1fab4d015d14671c00

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.39.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 60f8dd1e76f47b3dbdee4b38d9189f3e020d22a173c00f930b52131001d801f9
MD5 feb29579a5e9d0bc3be09de3a37062b4
BLAKE2b-256 94aea24ff97a39a8b4c60b93c63ccde867249c1d5dab03d790e85d64f99c0db3

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 37.5 MB
  • Tags: CPython 3.9, manylinux: glibc 2.17+ i686
  • 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-0.39.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1ec3d70b3e507515936e475d9811305f52d049281eaa6c8273448a61c9b5b7e2
MD5 d12ba8ddae6821f48783d43e79c534d3
BLAKE2b-256 d4a642d47c9bbc67ded89504fb91c3b900eca7b89019a53bb5404da1bd56e2d5

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.39.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 39dc2160aed36e989610fc403487f11b8764b6650017ff367e45384dff88ffbf
MD5 b9b467aee9697df639ee79816da94b86
BLAKE2b-256 1161d2dc91f46c588cbf5b8e57f193d79dbd0d2352e9271808837f87281bd240

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 23.1 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • 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-0.39.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e4f212c018db951da3e1dc25c2651abc688221934739721f2dad5ff1dd5f90e7
MD5 ca417c9b73205a26ad08d9383e8cd46b
BLAKE2b-256 67d67623e80301e9f65b9ce3ac2656e29fab3c91a575e589750ee2a1b03decac

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 25.5 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • 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-0.39.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fa9b26939ae553bf30a9f5c4c754db0fb2d2677327f2511e674aa2f5df941789
MD5 c4f5b4e172dc61b909d5f72bd4682c57
BLAKE2b-256 3e59a2f5a20268cd261fb81ce2134267fe6f947bbff9401dbc4f12cfeb089fa6

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 23.2 MB
  • Tags: CPython 3.8, Windows x86-64
  • 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-0.39.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 fb62fc7016b592435d3e3a8f680e3ea8897c3c9e62e6e6cc58011e7a4801439e
MD5 bb07098ec564576896acf544b497e432
BLAKE2b-256 757f9055977016e713a5c033c376a9ea9cb3d1092a02ee1421c41ccbcc5aa043

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 19.1 MB
  • Tags: CPython 3.8, Windows x86
  • 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-0.39.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 4c6ebace910410daf0bebda09c1859504fc2f33d122e9a971c4c349c89cca630
MD5 f1845a1df7bc3c7ff9456e386487d514
BLAKE2b-256 8cdddbf1d9c68d91ee3e14bf962d195e18f877a26fdb6556dcfea8951e47e4e7

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.39.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 22d36591cd5d02038912321d9ab8e4668e53ae2211da5523f454e992b5e13c36
MD5 2d413f7a4fb06fc7f3b9c525c54d1e7a
BLAKE2b-256 f5d44cd3efa0a6e5f63b17ba7e383bb9e90f8008c539bb51dbe5bb7b7aabaed1

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 37.5 MB
  • Tags: CPython 3.8, manylinux: glibc 2.17+ i686
  • 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-0.39.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c0f158e4708dda6367d21cf15afc58de4ebce979c7a1aa2f6b977aae737e2a54
MD5 71d1cbb397dd710eeafc0ca5d9c5f1aa
BLAKE2b-256 32ba545b37dd07a44889f6591c7994290b7a57cdcaaf0c795516b5593d65c424

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.39.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9ffc84ade195abd4abcf0bd3b827b9140ae9ef90999429b9ea84d5df69c9058c
MD5 aac2981789fd703badefe2caa8f8c2c5
BLAKE2b-256 5affb655fa1764c0c764752496676ed0076631880535e2b67c34c776b1f9a9bc

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 23.1 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • 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-0.39.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 62c0ea22e0b9dffb020601bb65cb11dd967a095a488be73f07d8867f4e327ca5
MD5 898635165127df7bd0ea2055aacb5947
BLAKE2b-256 45b55013d162337c07b11c946b2842bac146434a5c33f6e6e5011e6cf164bf83

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 25.5 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • 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-0.39.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e31f4b799d530255aaf0566e3da2df5bfc35d3cd9d6d5a3dcc251663656c27b1
MD5 5704df43d324f1267a1cb6e2906c680e
BLAKE2b-256 eb48497215f37f36562ad2c803f73f7878776e063c018b3fa935ba32cfc0bc40

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 23.2 MB
  • Tags: CPython 3.7m, Windows x86-64
  • 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-0.39.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e172c73fccf7d6db4bd6f7de963dedded900d1a5c6778733241d878ba613980e
MD5 be86ca5fdfa3da7d1f22a460aee438fe
BLAKE2b-256 be05af5fd325c52b73255a51691300f00b06177dfe1088b90ea20dd49c6e0c23

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 19.1 MB
  • Tags: CPython 3.7m, Windows x86
  • 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-0.39.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 b1a0bbdb274fb683f993198775b957d29a6f07b45d184c571ef2a721ce4388cf
MD5 dfd5c3dadbbc9659c8e425f9a654c4ec
BLAKE2b-256 dfe32e07af7ad70187756f28e480dec5e34701e44012f587fa9e5d0b61003a6d

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 50aea09a2b933dab7c9df92361b1844ad3145bfb8dd2deb9cd8b8917d59306fb
MD5 1aa9c905c290f8d86808965d977f6414
BLAKE2b-256 6f7815e11f84531c3e4e078ed2faa4e6e078ef2a0c06c6275020bc10c3865e9c

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 37.5 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.17+ i686
  • 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-0.39.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3803f11ad5f6f6c3d2b545a303d68d9fabb1d50e06a8d6418e6fcd2d0df00959
MD5 826041278435f88e9c09992c317de9f6
BLAKE2b-256 e30b68d4a88f76a6e11cc8701c48f63240ee1ce3be7463554212b4adaae1d2a8

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for llvmlite-0.39.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1578f5000fdce513712e99543c50e93758a954297575610f48cb1fd71b27c08a
MD5 2c3686f6194034b2a6e5dafc8db2de41
BLAKE2b-256 314e412c9f557ac007e5cac75c3593fe159db7f44d8caea4122b9251216737e1

See more details on using hashes here.

File details

Details for the file llvmlite-0.39.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: llvmlite-0.39.1-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 25.5 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • 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-0.39.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6546bed4e02a1c3d53a22a0bced254b3b6894693318b16c16c8e43e29d6befb6
MD5 d55113d6f4c88d56b3a38573611922a4
BLAKE2b-256 0731a5f5f578a2b19938e1bb91dcd79bd436557baf582dde23845cb0e76a2241

See more details on using hashes here.

Release history Release notifications | RSS feed

0.49.0rc1 pre-release

0.48.0

0.48.0rc1 pre-release

0.47.0

0.47.0rc1 pre-release

0.46.0

0.46.0rc1 pre-release

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

0.44.0rc1 pre-release

0.43.0

0.43.0rc1 pre-release

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

This 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

0.30.0

0.29.0

0.28.0

0.27.1

0.27.0

0.26.0

0.25.0

0.24.0

0.23.2

0.23.0

0.22.0

0.21.0

0.20.0

0.19.0

0.18.0

0.17.1

0.17.0

0.16.0

0.15.0

0.14.0

0.13.0

0.12.1

0.12.0

0.11.0

0.10.0

0.9.0

0.8.0

0.7.0

0.6.0

0.5.0

0.4.0

0.2.2

0.2.1

0.2.0

0.1

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page