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-1.1.2.tar.gz (6.5 MB view details)

Uploaded Source

Built Distributions

vegafusion_python_embed-1.1.2-cp311-none-win_amd64.whl (15.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

vegafusion_python_embed-1.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

vegafusion_python_embed-1.1.2-cp311-cp311-macosx_11_0_arm64.whl (13.5 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

vegafusion_python_embed-1.1.2-cp311-cp311-macosx_10_7_x86_64.whl (14.4 MB view details)

Uploaded CPython 3.11 macOS 10.7+ x86-64

vegafusion_python_embed-1.1.2-cp310-none-win_amd64.whl (15.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

vegafusion_python_embed-1.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

vegafusion_python_embed-1.1.2-cp310-cp310-macosx_11_0_arm64.whl (13.5 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

vegafusion_python_embed-1.1.2-cp310-cp310-macosx_10_7_x86_64.whl (14.4 MB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

vegafusion_python_embed-1.1.2-cp39-none-win_amd64.whl (15.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

vegafusion_python_embed-1.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

vegafusion_python_embed-1.1.2-cp39-cp39-macosx_11_0_arm64.whl (13.5 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

vegafusion_python_embed-1.1.2-cp39-cp39-macosx_10_7_x86_64.whl (14.4 MB view details)

Uploaded CPython 3.9 macOS 10.7+ x86-64

vegafusion_python_embed-1.1.2-cp38-none-win_amd64.whl (15.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

vegafusion_python_embed-1.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

vegafusion_python_embed-1.1.2-cp38-cp38-macosx_11_0_arm64.whl (13.5 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

vegafusion_python_embed-1.1.2-cp38-cp38-macosx_10_7_x86_64.whl (14.4 MB view details)

Uploaded CPython 3.8 macOS 10.7+ x86-64

vegafusion_python_embed-1.1.2-cp37-none-win_amd64.whl (15.0 MB view details)

Uploaded CPython 3.7 Windows x86-64

vegafusion_python_embed-1.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.5 MB view details)

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

vegafusion_python_embed-1.1.2-cp37-cp37m-macosx_11_0_arm64.whl (13.5 MB view details)

Uploaded CPython 3.7m macOS 11.0+ ARM64

vegafusion_python_embed-1.1.2-cp37-cp37m-macosx_10_7_x86_64.whl (14.4 MB view details)

Uploaded CPython 3.7m macOS 10.7+ x86-64

File details

Details for the file vegafusion_python_embed-1.1.2.tar.gz.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2.tar.gz
Algorithm Hash digest
SHA256 5cda83ef8ec3b3c861d8d50470e8748887ce1f1b23848e7686042979a53ec3ff
MD5 b8267d0901bf38b15e2b5c469e43673a
BLAKE2b-256 650ae131faadc60e6474b243e232bbb4f2ccf97483f135f283b93ff8dd6eca61

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 e488084816e54e40872d246daa576c0d165a367126fed97e7c12888f0b186528
MD5 52716e2ee3c668665daace2b9f513e7a
BLAKE2b-256 d2e56ed7e3a631b1f82ac5f98e71ce5295e73671ea193870bfdebdabe5cc80ad

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0e362390749298099a5c14b045e4ea126728eb972d6367b527cb4f4498dabad7
MD5 25c9919dcfbe67f0f180357ea7ed2938
BLAKE2b-256 bab0c349585b3f48f5e007fda84bf017a1abf08b5ab71ac75aac7c8a8e38bfb2

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4cd399119b8531e120bd3f764dede5191f87ad041cba38de926295e8932ecc94
MD5 cdf33a73c0ff738c73bf605505978af3
BLAKE2b-256 cce4a8b2a8d7b85e17852bcead1b4e90ccfd4fb6de816a78ff4be335b856c9dc

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp311-cp311-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp311-cp311-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 6c452eb1225bc59f67627a25c59ddedc5b6b9e422d0214209553efa896b8cb3a
MD5 4ad995a908106998693e80787cca43c7
BLAKE2b-256 695d09500ceb4738eda0b98b29909c45f792b68f199a45631f04c40d30dcdee2

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 db003775b54fc72d78b628d81f8b4e87ffb10745d9d0744417558f2078bc232d
MD5 3fc616ec2dee24667fbf7a46d9ed201f
BLAKE2b-256 72a021be0a1c32b1918b0b1be8bc3f054f1c45a1467ebeb4ff1bd214cbf2afeb

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b6aee3f56d682691d1f02346ba57f18003b8bf8e1aac46ba22a7eace349f9a12
MD5 127b419942b0f116e0e85ec7e354feef
BLAKE2b-256 b0d8399c563fc15fe5f7bb08b15b6004ecca37784db587b188c5a8b13c88fd46

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d5c7e71ab5ec7c2e26070966c9535385dc5fb2b9b4a35c2c814d8de4c58b00e5
MD5 aca74e5c232a3cb9599f4fa6f740d00c
BLAKE2b-256 4f5b17d94ced5e16b4ff87e4e232d01d73d26f9c9a57aa7fddb2348c20db2e3e

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 74fcdc43f46c886188bef68e709f939ceb2e57af84a3574f7973586c7f7977e2
MD5 8566cb2fab039309a247dcf22924ffc9
BLAKE2b-256 0ae8522f2ecb2ed26d3046747bc222774b0b09d8fd1edac9f0879c957fa0b44a

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 3ce7edef57d4e32560eab4045470171b8f9946858433994c3ba7c437dee96283
MD5 73011148545ac1dec863e0263f6933ca
BLAKE2b-256 1e48d3c1dbdad95dcb0026288464c1c90965fc280db4adc0e1de11e0b445f8f9

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ca003b6e3c3007792b4b67f322bba1c4e5def8ebdaed5834f0a943149b498b2a
MD5 7b861accf2dd5db89bee309fbf25e876
BLAKE2b-256 a156dd220b7988a31775312cf312f6bc63a07de08eb3745564654af662f2ff7b

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d282879a065abebe90fdc24a88c2ec508b9c1f135fbc1dff93af750785b4cf11
MD5 3daaf034a9bc89f13db25529437ac840
BLAKE2b-256 c26c14e49e5b6bef17ff19f0081af1552fe9ae516a42d756142dc6f53926e4d8

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 e52671f3f7d3f1a9233550cbed3ac24c7925b9144c40607a56c7c8e5747cfde1
MD5 ae0fdb9cc8079b783feef7e33fc4c562
BLAKE2b-256 7bf691d48635e365918f2a7acabf4673a8cc0575caf181d7ea3ba5ba22710437

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 c8f04442233a34aef1b66f60f7306ea5dea14317cb78a71f8fbd3680b0525490
MD5 5fbea49674b1adc6f1515efc89ea0f5c
BLAKE2b-256 ae8f5d24ec70b0c5617560d660d463315dce86ce56dc7fa8bb259849fbeb5d10

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 118ac170a59f117b71beee181d4bec755be7b7806aaaebd2064b48ca6949b05d
MD5 478e7176ee96729c3e5e8fb4d95ce8db
BLAKE2b-256 64fca4b06802d0a3b78fe5049b2bd1a769eacbd0dd4cbb757ab8edf859a47d02

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 585fa63c4b620da378903977fea9c3f6ee3fd4da6742f1eae6cc93de2cc79c64
MD5 e2c546d45f5264145447366bdcc52712
BLAKE2b-256 25d7a33d7b69299633b6594386f02005fbf1769f57adef43884b52e22e999dcc

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp38-cp38-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp38-cp38-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 69e261da5cc36f652a90ae598bdbfe1ff5d37a1ba29ca74332f449cd86cce15c
MD5 3012e28c07a678993a350492e6b2b9d2
BLAKE2b-256 511036cef05cf5a995d14f6bf22cf3120f72ba6b610eaf41504cf050418e64c1

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp37-none-win_amd64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 70a28a9e8917d4cba3d39174451d4f708ae28e50a87fda13d073c1f58b13b117
MD5 740041ce263dfcb76dcf0037223960e7
BLAKE2b-256 8f77268c6763207c3b6a431483c9939202bc4aff60095eaf5e4d8fcf39ac8f81

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3ca0d79546137716a113214f27db3a5c78a8c6da4d8c99edbfa329bac093f634
MD5 43122386ef8afbcb62d22fed22327979
BLAKE2b-256 2a9a7a96efe96279737fc9fb7ca062afc9ee703e4b4ea89bdb35cc6c8daa006f

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp37-cp37m-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp37-cp37m-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5f0eec31c3d086f96596dc071c0397fb2ecbcba6ecd4eb88b76772f5d1c08e3c
MD5 7f4ab302b734ffe0ffd0a89549a1ea29
BLAKE2b-256 c5b310fc8302e2c8e71236030d3c6baa272558c748be3d13f920df922cb974f6

See more details on using hashes here.

Provenance

File details

Details for the file vegafusion_python_embed-1.1.2-cp37-cp37m-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-1.1.2-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 513a4204c77f0856b9a8198c717abd323f2c480d9a02a1e5dddccfcdf60477c3
MD5 fb99f5c07ad776967d23eea3965278aa
BLAKE2b-256 b182b8cd69a4ddc56e887ad9e36c24a515c8dfb5b2aed57659ffe6c668e2a8a2

See more details on using hashes here.

Provenance

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