vegafusion-python-embed

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

Release history Release notifications | RSS feed

This version

1.6.8

May 7, 2024

1.6.7

Apr 11, 2024

1.6.6

Mar 22, 2024

1.6.5

Feb 26, 2024

1.6.4

Feb 15, 2024

1.6.4rc1 pre-release

Feb 9, 2024

1.6.3

Jan 30, 2024

1.6.2

Jan 29, 2024

1.6.1

Jan 9, 2024

1.6.0

Jan 8, 2024

1.6.0rc1 pre-release

Dec 21, 2023

1.5.1

Dec 19, 2023

1.5.0

Dec 11, 2023

1.4.5

Nov 20, 2023

1.4.4

Nov 16, 2023

1.4.3

Nov 6, 2023

1.4.2

Oct 23, 2023

1.4.1

Sep 28, 2023

1.4.0

Aug 21, 2023

1.4.0rc5 pre-release

Jul 25, 2023

1.4.0rc3 pre-release

Jul 20, 2023

1.4.0rc2 pre-release

Jul 5, 2023

1.4.0rc1 pre-release

Jun 26, 2023

1.3.0

Jun 4, 2023

1.3.0rc4 pre-release

May 31, 2023

1.3.0rc3 pre-release

May 23, 2023

1.3.0rc2 pre-release

May 18, 2023

1.3.0rc1 pre-release

May 13, 2023

1.2.4

May 8, 2023

1.2.3

May 1, 2023

1.2.2

Apr 19, 2023

1.2.1

Apr 13, 2023

1.2.0

Apr 12, 2023

1.1.3

Apr 6, 2023

1.1.2

Mar 30, 2023

1.1.1

Mar 25, 2023

1.1.0

Mar 24, 2023

1.0.4

Mar 6, 2023

1.0.3

Jan 30, 2023

1.0.2

Jan 25, 2023

1.0.1

Jan 22, 2023

1.0.0

Jan 21, 2023

0.10.0

Aug 6, 2022

0.9.0

Jul 30, 2022

0.8.0

Jul 25, 2022

0.7.0

Jul 17, 2022

0.6.2

Jul 7, 2022

0.6.1

Jul 5, 2022

0.6.0

Jun 23, 2022

0.5.0

May 29, 2022

0.4.1

May 20, 2022

0.4.0

May 12, 2022

0.3.0

Apr 22, 2022

0.2.0

Apr 16, 2022

0.1.0

Mar 10, 2022

0.0.4

Feb 25, 2022

0.0.3

Feb 5, 2022

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-1.6.8.tar.gz (6.8 MB view hashes)

Uploaded May 7, 2024 Source

Built Distributions

vegafusion_python_embed-1.6.8-cp38-abi3-win_amd64.whl (21.0 MB view hashes)

Uploaded May 7, 2024 CPython 3.8+ Windows x86-64

vegafusion_python_embed-1.6.8-cp38-abi3-manylinux_2_28_aarch64.whl (19.8 MB view hashes)

Uploaded May 7, 2024 CPython 3.8+ manylinux: glibc 2.28+ ARM64

vegafusion_python_embed-1.6.8-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.1 MB view hashes)

Uploaded May 7, 2024 CPython 3.8+ manylinux: glibc 2.17+ x86-64

vegafusion_python_embed-1.6.8-cp38-abi3-macosx_11_0_arm64.whl (18.9 MB view hashes)

Uploaded May 7, 2024 CPython 3.8+ macOS 11.0+ ARM64

vegafusion_python_embed-1.6.8-cp38-abi3-macosx_10_12_x86_64.whl (20.1 MB view hashes)

Uploaded May 7, 2024 CPython 3.8+ macOS 10.12+ x86-64

Hashes for vegafusion_python_embed-1.6.8.tar.gz

Hashes for vegafusion_python_embed-1.6.8.tar.gz
Algorithm	Hash digest
SHA256	`f67aaf32e0b7969c8b70a47167dddfc9e68b941631e054497adc4cfea21c51dd`
MD5	`da404681b0822ca3c440acb6fd24b0f9`
BLAKE2b-256	`96ca7eca6a73a8342b7268f2cae60eefb715565aa6db9c4f58764547fee16b3e`

Hashes for vegafusion_python_embed-1.6.8-cp38-abi3-win_amd64.whl

Hashes for vegafusion_python_embed-1.6.8-cp38-abi3-win_amd64.whl
Algorithm	Hash digest
SHA256	`543780136515c19c92876fa3e8197394ce15ed4ffb547462e0d0e0b910154c7a`
MD5	`954deec40aaf84f1804927ab36b137be`
BLAKE2b-256	`5bc957585f45d9eff1d5245673f3a0e3ca66155709c73593c4c180aec846b00d`

Hashes for vegafusion_python_embed-1.6.8-cp38-abi3-manylinux_2_28_aarch64.whl

Hashes for vegafusion_python_embed-1.6.8-cp38-abi3-manylinux_2_28_aarch64.whl
Algorithm	Hash digest
SHA256	`e1ddd7ff5f24667fb0540e6d24fa265f307de26da9cfae7f35b53e01ee8aa557`
MD5	`2a497f4fd04d7a94820aab30338632d9`
BLAKE2b-256	`41b31e99e3fff7915085017f472dc446f43a23ef57a5737736ba1b9b3b669130`

Hashes for vegafusion_python_embed-1.6.8-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for vegafusion_python_embed-1.6.8-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`a69957779b1492312078d076e919bdb01cc94a21153edb874ae256824d757e5b`
MD5	`bb77cf19b445e43e62d2251b7eef9bfd`
BLAKE2b-256	`87a1bc9586fb35bfeece5abf02058420cec33bdf57b720d007a4876f3b1df886`

Hashes for vegafusion_python_embed-1.6.8-cp38-abi3-macosx_11_0_arm64.whl

Hashes for vegafusion_python_embed-1.6.8-cp38-abi3-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`e90d1d98cd3aa06bb1788269be0b2bbe91eca2a89f83c7758585026a391ffa79`
MD5	`709bef90574f1bc710fa6c65dbc98a2a`
BLAKE2b-256	`9845d05f591076aec3353b92ac272e1f831c5c109c7729824bdf3bdd82334ed7`

Hashes for vegafusion_python_embed-1.6.8-cp38-abi3-macosx_10_12_x86_64.whl

Hashes for vegafusion_python_embed-1.6.8-cp38-abi3-macosx_10_12_x86_64.whl
Algorithm	Hash digest
SHA256	`c14b4fc7828c0dee751e18deee5cc8529a6cfbcbf8a4f68a2eab129b5da4e93a`
MD5	`2dc6d070d3159a6b3fa972e3494afea4`
BLAKE2b-256	`b6bb7afbd1c5e4891225e5161b69477a7230e7702ae934087940598802d1d058`