Skip to main content

Pythonic bindings for FFmpeg's libraries.

Project description

PyAV

GitHub Test Status
Gitter Chat Documentation
Python Package Index Conda Forge

PyAV is a Pythonic binding for the FFmpeg libraries. We aim to provide all of the power and control of the underlying library, but manage the gritty details as much as possible.

PyAV is for direct and precise access to your media via containers, streams, packets, codecs, and frames. It exposes a few transformations of that data, and helps you get your data to/from other packages (e.g. Numpy and Pillow).

This power does come with some responsibility as working with media is horrendously complicated and PyAV can't abstract it away or make all the best decisions for you. If the ffmpeg command does the job without you bending over backwards, PyAV is likely going to be more of a hindrance than a help.

But where you can't work without it, PyAV is a critical tool.

Installation

Due to the complexity of the dependencies, PyAV is not always the easiest Python package to install from source. Since release 8.0.0 binary wheels are provided on PyPI for Linux, Mac and Windows linked against a modern FFmpeg. You can install these wheels by running:

pip install av

If you want to use your existing FFmpeg, the source version of PyAV is on PyPI too:

pip install av --no-binary av

Alternative installation methods

Another way of installing PyAV is via conda-forge:

conda install av -c conda-forge

See the Conda install docs to get started with (mini)Conda.

And if you want to build from the absolute source (for development or testing):

git clone git@github.com:PyAV-Org/PyAV
cd PyAV
source scripts/activate.sh

# Either install the testing dependencies:
pip install --upgrade -r tests/requirements.txt
# or have it all, including FFmpeg, built/installed for you:
./scripts/build-deps

# Build PyAV.
make

Have fun, read the docs, come chat with us, and good luck!

Download files

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

Source Distribution

av-10.0.0.tar.gz (2.4 MB view details)

Uploaded Source

Built Distributions

av-10.0.0-pp39-pypy39_pp73-win_amd64.whl (25.1 MB view details)

Uploaded PyPy Windows x86-64

av-10.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

av-10.0.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (23.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

av-10.0.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (23.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

av-10.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (25.7 MB view details)

Uploaded PyPy macOS 10.9+ x86-64

av-10.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

av-10.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (23.0 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

av-10.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (23.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

av-10.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (25.7 MB view details)

Uploaded PyPy macOS 10.9+ x86-64

av-10.0.0-pp37-pypy37_pp73-win_amd64.whl (25.1 MB view details)

Uploaded PyPy Windows x86-64

av-10.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

av-10.0.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (23.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

av-10.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (23.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

av-10.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (25.7 MB view details)

Uploaded PyPy macOS 10.9+ x86-64

av-10.0.0-cp311-cp311-win_amd64.whl (25.3 MB view details)

Uploaded CPython 3.11 Windows x86-64

av-10.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (31.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

av-10.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (28.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

av-10.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (29.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

av-10.0.0-cp311-cp311-macosx_11_0_arm64.whl (19.6 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

av-10.0.0-cp311-cp311-macosx_10_9_x86_64.whl (26.0 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

av-10.0.0-cp310-cp310-win_amd64.whl (25.3 MB view details)

Uploaded CPython 3.10 Windows x86-64

av-10.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (31.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

av-10.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (28.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

av-10.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (29.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

av-10.0.0-cp310-cp310-macosx_11_0_arm64.whl (19.6 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

av-10.0.0-cp310-cp310-macosx_10_9_x86_64.whl (26.1 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

av-10.0.0-cp39-cp39-win_amd64.whl (25.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

av-10.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (31.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

av-10.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (29.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

av-10.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (29.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

av-10.0.0-cp39-cp39-macosx_11_0_arm64.whl (19.6 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

av-10.0.0-cp39-cp39-macosx_10_9_x86_64.whl (26.1 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

av-10.0.0-cp38-cp38-win_amd64.whl (25.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

av-10.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (31.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

av-10.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (29.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

av-10.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (29.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

av-10.0.0-cp38-cp38-macosx_11_0_arm64.whl (19.6 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

av-10.0.0-cp38-cp38-macosx_10_9_x86_64.whl (26.1 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

av-10.0.0-cp37-cp37m-win_amd64.whl (25.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

av-10.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (30.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

av-10.0.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (28.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

av-10.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (29.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

av-10.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (26.0 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file av-10.0.0.tar.gz.

File metadata

  • Download URL: av-10.0.0.tar.gz
  • Upload date:
  • Size: 2.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for av-10.0.0.tar.gz
Algorithm Hash digest
SHA256 8afd3d5610e1086f3b2d8389d66672ea78624516912c93612de64dcaa4c67e05
MD5 b4ddb6692fb16afc34b6b53fd750bd62
BLAKE2b-256 0945eb750ba15c44e8106f58a22e6789f5ddbe5584d9dcb4e755b08d47ed6261

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 9788e6e15db0910fb8e1548ba7540799d07066177710590a5794a524c4910e05
MD5 d6a7502943b7df8465f87fc9cc2455fa
BLAKE2b-256 29eefaaed090f1ecb6fdb0f499c3ce504b04b2de40b48272a38d2b03b2aea7de

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1cdede2325cb750b5bf79238bbf06f9c2a70b757b12726003769a43493b7233a
MD5 c12322da6e7e6382825714d937f3e0ad
BLAKE2b-256 060a5648e8d3198f96e4201f8bf2256e4718473b8299dde328b83d4753911c3a

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3dac2a8b0791c3373270e32f6cd27e6b60628565a188e40a5d9660d3aab05e33
MD5 574bf39524b2123e22607c7d2c1558bd
BLAKE2b-256 e1c512ceb8b418acc507dc8abd2c1cecedd621bc1cdbdf63efefa1b8418304ff

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c2eeec7beaebfe9e2213b3c94b482381187d0afdcb632f93239b44dc668b97df
MD5 ceda475c02bd384470216a740cb8e067
BLAKE2b-256 91e941039b013ed36c012649378e537d3de5bfb4e60be397bceaa764281cc33c

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 13fe0b48b9211539323ecebbf84154c86c72d16723c6d0af76e29ae5c3a614b2
MD5 df11ee1d3447e83c72e44f06a1bd1017
BLAKE2b-256 6e3654760ce5f330fd634a2032280ebafd94322b960808c9a9d93b0d7ab545e6

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ab930735112c1f788cc4d47c42c59ba0dd214d815aa906e1addf39af91d15194
MD5 a2031219c975b4113fd83f9d3e22bafb
BLAKE2b-256 4bdfc5ebef01e7ff9482927313dbe67d722b04a0a3f6e8434299d11a456276b6

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1b459ca0ef25c1a0e370112556bdc5b7752f76dc9bd497acaf3e653171e4b946
MD5 c549072e229c342424c9c932cc7457b1
BLAKE2b-256 a3a90fff83b525d96ff8a37b32b4cc4b0eddf70195c848136d2029252e53e3be

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 98cc376199c0aa6e9365d03e0f4e67cfb209e40fe9c0cf566372f9daf2a0c779
MD5 320e8f2b96ac6a1e93314dc9e333c15f
BLAKE2b-256 614850ec4784ef5279ec9b15cbda1caaccc8a903592f70fb268e5bb06cc9317c

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f7b508813abbc100162d305a1ac9b2dd16e5128d56f2ac69639fc6a4b5aca69e
MD5 d549507bbe6c74c30cd242900804a996
BLAKE2b-256 cdcfd624b874416d3dff10e365367233e3f944e56fe8c961a09a9379d2158da7

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 86bb3f6e8cce62ad18cd34eb2eadd091d99f51b40be81c929b53fbd8fecf6d90
MD5 65326bcf9fbbf2b0c248dc5d2c9a3b50
BLAKE2b-256 5f7f2df842a29fd2eb7239c3d30c38fa596c8bfd28bc3a33d434a638e616e60e

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b3fae238751ec0db6377b2106e13762ca84dbe104bd44c1ce9b424163aef4ab5
MD5 5d862d1bc8777aa1daf60fa516f9b625
BLAKE2b-256 efc5b4f08ed6a44bab778be5b571fa90ca83162640ab21e5715243ac61b3bc10

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8b6326fd0755761e3ee999e4bf90339e869fe71d548b679fee89157858b8d04a
MD5 63ac2c766ccb61c988b8eee8dde150bf
BLAKE2b-256 659d4b5517df1eceb55dfc5afdb05c0940f7dcf996e9efff364b12800b57c358

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e2ea4424d0be62fe18c843420284a0907bcb38d577062d62c4b75a8e940e6057
MD5 c04e68956bc0ddf2218d638865be3084
BLAKE2b-256 1381d7c77d4adbf294e82216bbd2d1437769879aac8160c50c13b50ea7734097

See more details on using hashes here.

File details

Details for the file av-10.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 63dbafcd02415127d97509523bc285f1ab260988f87b744d7fb1baee6ffbdf96
MD5 b6eb15c952f515304c8a1d898d2079af
BLAKE2b-256 dcaa83f3a2b2a995e9795f847875bdf00122c4ba59ed86c08d6258cbe1cbc50e

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: av-10.0.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 25.3 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for av-10.0.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 836d69a9543d284976b229cc8d4343ffcfc0bbaf05239e13fb7e613b13d5291d
MD5 b45a5cca4ee7c2e678f3e13a05722a52
BLAKE2b-256 e664ff16620a5dd2ae6678d4269e91e63c4851acb4376fdf7fec4f03eecf33ab

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 69fd5a38395191a0f4b71adf31057ff177c9f0762914d73d8797742339ad67d0
MD5 4f43fe2098b3a2dd2115c36267a20132
BLAKE2b-256 55ac8c31205c9b49ea3e0111276a2f3ea8dae42dd026cee0832e46658c9a4650

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7a7d6e2b3fbda6464f74fe010dbcff361394bb014b0cb4aa4dc9f2bb713ce882
MD5 f54be0fd0ea11c536fd14ce83f0c3210
BLAKE2b-256 299c6152110bf44f17921e08aabc036780fdbeec8cfb0726ab87e1a6dad1e45c

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 115e144d5a1f205378a4b3a3657b7ed3e45918ebe5d2003a891e45984e8f443a
MD5 f035a9384a8d83271ddb75331555af70
BLAKE2b-256 2c07f3e78f3af2487b0a2993dc823e6f4584e27c5cc577ef7755ea1ce3877f8b

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 157bde3ffd1615a9006b56e4daf3b46848d3ee2bd46b0394f7568e43ed7ab5a9
MD5 770d66dd588d84a35750753b1cfaad4e
BLAKE2b-256 1d3c988d20a522eae9d33abab3573ec85054d7472eb59778c2b2a01c4faa4f7c

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e5085d11345484c0097898994bb3f515002e7e1deeb43dd11d30dd6f45402c49
MD5 f36ae8b230d1e11fa6c5f6e89474f1c0
BLAKE2b-256 eb5eb067321d5913c661ff2bfd02ee318ea391c83ac783f0731a2db686cb6a54

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: av-10.0.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 25.3 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for av-10.0.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 07c971573035d22ce50069d3f2bbdb4d6d02d626ab13db12fda3ce519cda3f22
MD5 96bc31a53bb82d53a04831e158c88903
BLAKE2b-256 ea30520d0c1b2e7e8a49818e905bd3968d331f5310cd55fdb3f451b5d0c0d449

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0577a38664e453b4ffb63d616a0d23c295827b16ae96a090e89527a753de8718
MD5 29af63959250138621da5fad7538c5cd
BLAKE2b-256 85d70c0b99b302f8973481fe08b9ec5043bcf0708e56f21512ae0fb697fa02d8

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 51037f4bde03daf924236af4f444e17345792ad7f6f70760a5e5863407e14f2b
MD5 bac29426284cc718aaf22193e0518749
BLAKE2b-256 26865b80417f0f882c08eda6b05fa81d79cd1f8aa56d555a9109fa2df711d73c

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 27d6d38c7c8d46d578c008ffcb8aad1eae14d0621fff41f4ad62395589045fe4
MD5 c3dd29c13e3ffda221984fc994208313
BLAKE2b-256 0e981b3c53e1fd44e8e7ee05d8d525fc9df86aa53ad9ca4ccef0e68a99cf4428

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7dba96a85cd37315529998e6dbbe3fa05c2344eb19a431dc24996be030a904ee
MD5 b4fa6a54969177dafeffce0b160b42d7
BLAKE2b-256 a539da12543d3d91252a8c15834103119c130fc5b6a2f2f9366e67c0130ad407

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d19bb54197155d045a2b683d993026d4bcb06e31c2acad0327e3e8711571899c
MD5 fcd59e3f69f157a2ef288d7243750705
BLAKE2b-256 9ef447de1de3fcc23cb199a1ead44a207457933e535efcdea433a8d15edbd9a6

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: av-10.0.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 25.3 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for av-10.0.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 0f9c88062ebfd2ce547c522b64f79e487ed2b0a6a9d6693c801b28df0d944607
MD5 231b6d45a3e152d01b1fdf73a6298657
BLAKE2b-256 0d582fb979f2ba3da1256d0f042a9006464499a49aea7111b41e316954114b1a

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b67b7d028c9cf68215376662fd2e0be6ca0cc02d32d3ed8514fec67b12db9cbd
MD5 38b7b0766f355980a310dc791dd16186
BLAKE2b-256 7c7c76633096637961155c02a7a082a697c70a992c757e11e20d176f21d3dead

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a62edd533d330aa61902ae8cd82966affa487fa337a0c4f58ae8866ccb5d31c0
MD5 7bd8e12a01dd9a9445978c2370426335
BLAKE2b-256 2280ef3dfe3b4659582788b32992a141a1774fa8e261c742b985c01bcd0f4ebb

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 91ea46fea7259abdfabe00b0ed3a9ca18e7fff7ce80d2a2c66a28f797cce838a
MD5 16a8e084398797ee7e8c14575afc26df
BLAKE2b-256 4175028f8a40f6b636413e4ee48857706f50ab9b042ef6f9866262184b989b88

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a6c8f3f8c26d35eefe45b849c81fd0816ba4b6f589baec7357c25b4c5537d3c4
MD5 47a3914bb6e6f96ee805fabd04ff4246
BLAKE2b-256 31f2476757c405e3e0dc4fc4a74cb6b9a68ac088672d3598864b20ce7607d03e

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 16bd82b63d0b4c1b855b3c36b13337f7cdc5925bd8284fab893bdf6c290fc3a9
MD5 1f5c9ee625f14ddb9f6d084221717565
BLAKE2b-256 bff2b98e7e2e6e0beb91a1ddedbf762266378c38992779ae9a1bb90e939a9f59

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: av-10.0.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 25.4 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for av-10.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 81b5264d9752f49286bc1dc4d2cc66187418c4948a326dbed837c766c9892139
MD5 7336d4f86fedac74ef8d7f2556036b4f
BLAKE2b-256 5cb711020bc791c0e451aa2bf906616f2816628d3c9a5ad161db51124d2f532c

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a2cfd39baa5d82768d2a8898de7bfd450a083ef22b837d57e5dc1b6de3244218
MD5 ec3449972e5d845e0b93222d5b397364
BLAKE2b-256 09fc9ef3f6ca972d02758e5f54a9eb1eb402bff244dda9fe0724f62c756afaf7

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7c579d718b52beb812ea2a7bd68f812d0920b00937804d52d31d41bb71aa5557
MD5 7e5c21cf13384b1e32d695a394c74016
BLAKE2b-256 eb5c4e13b7f76c5dfe16e4511440e8130b88484f9b3c26d88e6cba5495e8dc9a

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ccaf786e747b126a5b3b9a8f5ffbb6a20c5f528775cc7084c95732ca72606fba
MD5 bd2c5a6366600291cea626d3580b253a
BLAKE2b-256 b3e6e01a8cc5b7fa245ce283883643d34462cc2c43e734461ab9c13a2c707252

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ff0f7d3b1003a9ed0d06038f3f521a5ff0d3e056ec5111e2a78e303f98b815a7
MD5 c7021b5ec25d8bca99f0fb9e519694f3
BLAKE2b-256 216638b8ad443f3694d7facc24e8eb6c04ec2b0353476aa225db443de1b6906d

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 088636ded03724a2ab51136f6f4be0bc457bdb3c0d2ac7158792fe81150d4c1a
MD5 f8f95473dd3cfb32a3d20b6b99a76adf
BLAKE2b-256 0b767706ba04bc87efae370438bbd51377dfe303b90871b7a5eadb4483d2ba70

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: av-10.0.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 25.3 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for av-10.0.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 10facb5b933551dd6a30d8015bc91eef5d1c864ee86aa3463ffbaff1a99f6c6a
MD5 61130423279905da7661cd30fb6cddf0
BLAKE2b-256 d8c936f881c8cd22d97da4bd13204f88030a6624e96b17ec4284fda1b71a8c6e

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 04cd0ce13a87870fb0a0ea4673f04934af2b9ac7ae844eafe92e2c19c092ab11
MD5 088f3179ed32ce334ed5321d8402b0ef
BLAKE2b-256 ac9bace0ec1630646d9698eb4862f6d839558c6073449406e5b02f20bd17f81a

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 eebd5aa9d8b1e33e715c5409544a712f13ec805bb0110d75f394ff28d2fb64ad
MD5 fa71b79ff3afec0ebb715dda93dbcb23
BLAKE2b-256 c6b95384ca3c1bf73637d5f6135af721a4796b23f1da09c449072fd2b13edebf

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1301e4cf1a2c899851073720cd541066c8539b64f9eb0d52216f8d0a59f20429
MD5 4cfaabcd85d36b33b813fbd57f2ded2d
BLAKE2b-256 b9757df98c2028fda5eb4445fdcdc1a7cc0b27810956bfe529415dbdf3e634fe

See more details on using hashes here.

File details

Details for the file av-10.0.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for av-10.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 eba192274538617bbe60097a013d83637f1a5ba9844bbbcf3ca7e43c6499b9d5
MD5 30b9cb1aa3651240f03b1a7ec3f2366f
BLAKE2b-256 9290cc4530ed48f321c939954b916847687a9fe920eec10e1e7504bd1302386c

See more details on using hashes here.

Supported by

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