Skip to main content

vegafusion-python-embed PyO3 Python Package

Project description

vegafusion-python-embed

This crate contains the Python library that embeds the VegaFusion Runtime and select Connection. This crate uses PyO3 to expose the Rust logic to CPython.

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-1.5.1.tar.gz (6.7 MB view details)

Uploaded Source

Built Distributions

vegafusion_python_embed-1.5.1-cp38-abi3-win_amd64.whl (19.2 MB view details)

Uploaded CPython 3.8+ Windows x86-64

vegafusion_python_embed-1.5.1-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.6 MB view details)

Uploaded CPython 3.8+ manylinux: glibc 2.17+ x86-64

vegafusion_python_embed-1.5.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (18.1 MB view details)

Uploaded CPython 3.8+ manylinux: glibc 2.17+ ARM64

vegafusion_python_embed-1.5.1-cp38-abi3-macosx_11_0_arm64.whl (17.6 MB view details)

Uploaded CPython 3.8+ macOS 11.0+ ARM64

vegafusion_python_embed-1.5.1-cp38-abi3-macosx_10_7_x86_64.whl (19.2 MB view details)

Uploaded CPython 3.8+ macOS 10.7+ x86-64

File details

Details for the file vegafusion_python_embed-1.5.1.tar.gz.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.5.1.tar.gz
Algorithm Hash digest
SHA256 362a263734e7efd2a362ec2d4a7765d450ef7201b15313a63f20e3b38579bb86
MD5 a9fb9f0c9ac1c9089f45e20062c79181
BLAKE2b-256 88e3d7510f88af4eb9db884b82be6f01c9f08063cb7e6848d28cb3cbd4b83c2f

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-1.5.1-cp38-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.5.1-cp38-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 29e342ae71fae24f46aa75ef5b1774f0bc36938e2decb4d96132eb04909c84cf
MD5 35a32cdedc4ef3c697f56857f4d3938a
BLAKE2b-256 498b23356936ca36ea07716a726b689e5ad0fbff2f460fb8acd5a91efb9a6e57

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-1.5.1-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.5.1-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b3ea2dff0a2aef787c499341629350bf856b7d95188ccab064ce0f5069f39cf1
MD5 aedfb6ba8d557e841704ba9c32f30f56
BLAKE2b-256 3a00b4379da0473f0ab0b66c9142120402fa76617db397c0e417ca02397773e8

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-1.5.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.5.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1172c2f4dc58fa2e86184d17bd989f372413f800e1ba4f16211b7500c618f579
MD5 180c71964774625da577fd1b06393ed6
BLAKE2b-256 65416200fac8ded45d10878026c83a6e876ca58f6a050c23f4972448e5d7e00a

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-1.5.1-cp38-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.5.1-cp38-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e1f00d71721a2bc41af2d76904a5c6e2cdec64dfbd68d8e6745e54434442b3f5
MD5 5e875f92af730e69b42d4b34c77d6708
BLAKE2b-256 265ac2fbdc88bef8c6a44c0d83bdf4a897f5b350feefcb544479b3a816ddfbb7

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-1.5.1-cp38-abi3-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.5.1-cp38-abi3-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 68d2c42f994154e9641d9caf2315bf4f6de96129e967993ce51d78b44281a061
MD5 123ff49fd4baff8ff3a3041516164470
BLAKE2b-256 6d24e685fea33c7c3ef831ab786d8cc06619cd0129e99b82bd61a79d7beab3b8

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