Skip to main content

No project description provided

Project description

The author of this package has not provided a project description

Project details


Download files

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

Source Distribution

vegafusion_python_embed-0.6.2.tar.gz (6.3 MB view details)

Uploaded Source

Built Distributions

vegafusion_python_embed-0.6.2-cp310-none-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.10 Windows x86-64

vegafusion_python_embed-0.6.2-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ x86-64

vegafusion_python_embed-0.6.2-cp310-cp310-macosx_11_0_arm64.whl (7.9 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

vegafusion_python_embed-0.6.2-cp310-cp310-macosx_10_7_x86_64.whl (8.9 MB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

vegafusion_python_embed-0.6.2-cp39-none-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

vegafusion_python_embed-0.6.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

vegafusion_python_embed-0.6.2-cp39-cp39-macosx_11_0_arm64.whl (7.9 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

vegafusion_python_embed-0.6.2-cp39-cp39-macosx_10_7_x86_64.whl (8.9 MB view details)

Uploaded CPython 3.9 macOS 10.7+ x86-64

vegafusion_python_embed-0.6.2-cp38-none-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.8 Windows x86-64

vegafusion_python_embed-0.6.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

vegafusion_python_embed-0.6.2-cp38-cp38-macosx_11_0_arm64.whl (7.9 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

vegafusion_python_embed-0.6.2-cp38-cp38-macosx_10_7_x86_64.whl (8.9 MB view details)

Uploaded CPython 3.8 macOS 10.7+ x86-64

vegafusion_python_embed-0.6.2-cp37-none-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.7 Windows x86-64

vegafusion_python_embed-0.6.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

vegafusion_python_embed-0.6.2-cp37-cp37m-macosx_11_0_arm64.whl (7.9 MB view details)

Uploaded CPython 3.7m macOS 11.0+ ARM64

vegafusion_python_embed-0.6.2-cp37-cp37m-macosx_10_7_x86_64.whl (8.9 MB view details)

Uploaded CPython 3.7m macOS 10.7+ x86-64

File details

Details for the file vegafusion_python_embed-0.6.2.tar.gz.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2.tar.gz
  • Upload date:
  • Size: 6.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2.tar.gz
Algorithm Hash digest
SHA256 89ab33e4a65e809112dd7b9eb85ff797b8a467bb3514477c108c9f2eddf613d9
MD5 7c9dc8ae753b8aafd9d238fb63d5b21e
BLAKE2b-256 d285ecef3c9ff2cc2dfc5773f10fe869bcdf17a21e977a17c3a2eb297fe91cc7

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp310-none-win_amd64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 54124092abf6a726b438664c4c13fc134c03de12a1411ea8649e6f35fca76574
MD5 59946f0f1ca36b6934d19109d206f478
BLAKE2b-256 7fad6262827ef00f3c4c77f903a941b382f659e77224bedb62325f4c41ebea87

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4dc06c4fda4393f94aa6bf93aaa8093b4e1620e6aad3b11eb4d4e3ee4fbf836a
MD5 5e39764bd2cb518d931d2b35b4eadeb7
BLAKE2b-256 d3e59a900fce76e9f72b439140f559e2b4a45fb3981be56d2f2934919ea19ae6

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cdee683afe9b11734f5dbb06da32ac4d1f51b88e76e6d86e347c6a5f9c83f92a
MD5 bd694eddcca7be1ba1bcad36cec01e06
BLAKE2b-256 4e8e4ff3f546f4b9c6682d4ddc62cd969c1946bf263134fa2eec34d6b895b578

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp310-cp310-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 8.9 MB
  • Tags: CPython 3.10, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 1b92adad52f37aa498d40ea20443e93001a86956d01b42b9c03c320658e5b230
MD5 03658fab324b7b99d8dfc00b9e61bc97
BLAKE2b-256 77acc217b46d02f56e5ace0a1ef435324f727a3c6143e9c9a118788ef7f0c0f9

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp39-none-win_amd64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 b1436f769b7b5df8856da725fe118a56c3f13d8acc59b5e048614839a8be9d15
MD5 2ae30939c4e6fd60e5feed40c3fdec64
BLAKE2b-256 b6b8641056af4beb040231ad75d834b11449a2f5f74bbede45bc480fc8022662

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
  • Upload date:
  • Size: 9.7 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c74f46d61391f768146d550e6a1b878a2c0cb7d03e6b7b40060cd20debf40853
MD5 71d10383c4ef1d7cb2c463b522776868
BLAKE2b-256 86e59f6e0b8ab9ea59aec7dd66c8f2caa11cc87966be514892121b3282935277

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 28ef998c4354c593f1a11753f7b27953826f39aa5e971ae0a3883fb00d46fb44
MD5 ba7737af39dd157bd00285964cc8d028
BLAKE2b-256 68572cc66d1ec95f95cfade14a0033ec4891e51553eed89140ae40fea87526cd

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp39-cp39-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 8.9 MB
  • Tags: CPython 3.9, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 c47eb112dd369f85005f0d8a50ec3678ff86d7b025c006b027195139142f0560
MD5 1bac0e5d8e2ef036721ef44d46f4888a
BLAKE2b-256 d2d6f9ea1bddb463f8ded9338d0e09021d58eab70a42dca5c9ef879422330b62

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp38-none-win_amd64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 636ba4d4197e6b2fedf25337267c65ce4a6e9388c664525fbe3a23fcfaee86e3
MD5 b38bedf4f0231f2fc213f329b0ca3822
BLAKE2b-256 df68d9220b955c192ed0561294f8cbf6472604d2507f5f61842f2fd1e7c01360

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
  • Upload date:
  • Size: 9.7 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e12a90efa0513776612e32a6605d0b1903222b85c3d5175688f89beab20c1ba2
MD5 7c9731e34e77d0c905ee706fe375003c
BLAKE2b-256 02dd3457bb5c91f38bdbc6412bc1e3cb51f879d4312048f5a1afa5c1daf32296

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7cf06d2e75859f4d1ed321ec08ed326efca3391a4373782cef95a0c3ec4037dc
MD5 9e9b0ef5c4dc1df2024c8a5d8673627f
BLAKE2b-256 9639b8ec52a324aaf80070d4c1ba576dadfe560ed12e32cbedc83fc2d816582a

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp38-cp38-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp38-cp38-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 8.9 MB
  • Tags: CPython 3.8, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp38-cp38-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 03d4bde9af57d6a0f73bd58588316d0fc3da9d65b09e76a820013ae4744dac9b
MD5 8613cd0f853901dda5be0f0b259ebca7
BLAKE2b-256 b09ddf4e76ce92432f5022deaa4d75ab0885ceef3ea62d110860796a5ec379a9

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp37-none-win_amd64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 1ca0cc2972c5379a7e47de7498fc09b705bdff95b0253090b8ae9c3c03fc1d45
MD5 c0b886cabd43c1337c7a764704170077
BLAKE2b-256 6b4b484d810f4b728d11ccf8e6c4de2a6235b0166ac907cfcd48a07a085d5cc0

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 08f4cbe62fbf433e4b014a64de41fd16009a7017857f30472a0f0a0e9dcd9202
MD5 9ed78df4d64967c541caf2b7edb7dcf2
BLAKE2b-256 619f252968f575a1a79aa4604d342e83fb19fdf219175fc53ba3be29d2436986

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp37-cp37m-macosx_11_0_arm64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp37-cp37m-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: CPython 3.7m, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp37-cp37m-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 755451f8015ccce2cba73e8f354739a62932246f5068076262a1e06ab92bae4f
MD5 e769b438e97f43cac953c618baa5649e
BLAKE2b-256 233f6326d9d7053ee3e505d373c5b5ebe79e714e2a018895b6b36ccc7e5cf163

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.6.2-cp37-cp37m-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.6.2-cp37-cp37m-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 8.9 MB
  • Tags: CPython 3.7m, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.6.2-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 2a7ff72cef873adcf09fe63ae6895a455a6ffa09de7588f25ba5af63b145966b
MD5 c5eec641c9778c8356f23824202f7c90
BLAKE2b-256 69e8d123f4de0c72b3678327de41c7c1c18506ff23840fda9dec40877ba63174

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