No project description provided

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jmmease from gravatar.com jmmease

Unverified details

These details have not been verified by PyPI
Meta
  • License: AGPL-3.0-or-later

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jmmease from gravatar.com jmmease

Unverified details

These details have not been verified by PyPI
Meta
  • License: AGPL-3.0-or-later

Release history Release notifications | RSS feed

1.6.9

1.6.8

1.6.7

1.6.6

1.6.5

1.6.4

1.6.4rc1 pre-release

1.6.3

1.6.2

1.6.1

1.6.0

1.6.0rc1 pre-release

1.5.1

1.5.0

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.4.0rc5 pre-release

1.4.0rc3 pre-release

1.4.0rc2 pre-release

1.4.0rc1 pre-release

1.3.0

1.3.0rc4 pre-release

1.3.0rc3 pre-release

1.3.0rc2 pre-release

1.3.0rc1 pre-release

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.3

1.1.2

1.1.1

1.1.0

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.10.0

0.9.0

0.8.0

This version

0.7.0

0.6.2

0.6.1

0.6.0

0.5.0

0.4.1

0.4.0

0.3.0

0.2.0

0.1.0

0.0.4

0.0.3

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-0.7.0.tar.gz (6.3 MB view details)

Uploaded Source

Built Distributions

vegafusion_python_embed-0.7.0-cp310-none-win_amd64.whl (9.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

vegafusion_python_embed-0.7.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ x86-64

vegafusion_python_embed-0.7.0-cp310-cp310-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

vegafusion_python_embed-0.7.0-cp310-cp310-macosx_10_7_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

vegafusion_python_embed-0.7.0-cp39-none-win_amd64.whl (9.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

vegafusion_python_embed-0.7.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

vegafusion_python_embed-0.7.0-cp39-cp39-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

vegafusion_python_embed-0.7.0-cp39-cp39-macosx_10_7_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.9 macOS 10.7+ x86-64

vegafusion_python_embed-0.7.0-cp38-none-win_amd64.whl (9.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

vegafusion_python_embed-0.7.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

vegafusion_python_embed-0.7.0-cp38-cp38-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

vegafusion_python_embed-0.7.0-cp38-cp38-macosx_10_7_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.8 macOS 10.7+ x86-64

vegafusion_python_embed-0.7.0-cp37-none-win_amd64.whl (9.6 MB view details)

Uploaded CPython 3.7 Windows x86-64

vegafusion_python_embed-0.7.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.9 MB view details)

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

vegafusion_python_embed-0.7.0-cp37-cp37m-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.7m macOS 11.0+ ARM64

vegafusion_python_embed-0.7.0-cp37-cp37m-macosx_10_7_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.7m macOS 10.7+ x86-64

File details

Details for the file vegafusion_python_embed-0.7.0.tar.gz.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0.tar.gz
  • Upload date:
  • Size: 6.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0.tar.gz
Algorithm Hash digest
SHA256 d9c102ed720f600c5040a3741d2ce235f6274d00e79d2e2b2491dc8e2d05b617
MD5 22e4f1eac08a8b278254973a633cd385
BLAKE2b-256 ab9fb4d4671b2525abced407d5caee71ca854f0d54200e16d374e9e7cbe99b33

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp310-none-win_amd64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 9.6 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 e5b1b3fd641fbfb143c9f80752086e02ea652b562f83ada098962d08b0ef1440
MD5 a5fba7ca163fda35be3dafed2c38cc11
BLAKE2b-256 5f8238f2e6fbd86af6a9a6ec551d778a8b400eca4a9782512cb6a048dd3aac95

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 abae8dda61a193dfa75c8472657e73c7019046ef59176186154b7610aa1a033c
MD5 9f751e7b49017a57b429b1ec3d8dad48
BLAKE2b-256 8288496714a9755631402a9f9bc73c40c30af631880efe77f28544e5f99f5877

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 8.1 MB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5a7b7abda129cbf1057d80e61ed3850f5fd44223df067f52145ade09e8854070
MD5 2e9c4a6c1fcbcc6ca7751f99a2dd55d7
BLAKE2b-256 6e846730e4c545e67fcf430355f82b10dd346da5de682d0f64a467505618ec02

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 78b8aaf330a388dae358cb5afda14f22fbf1c7a8f8ddcd88ec15a96c66c24026
MD5 d9e95ba98e2516789ce3820b9ece68f2
BLAKE2b-256 49ac145afc09fccb304626e5583d0a22c8c56ffd822f5c4902825ab10b502bcd

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp39-none-win_amd64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 9.6 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 af8253ce630317220c27489f2a7b93d7b068a5e9f173907e2cbb39a480a96812
MD5 5a19b5fee6170d355030abcb0501597e
BLAKE2b-256 f79fd90a3557559e84815a17d607f418b7c6a0251b7ae62e918a0dfe3d463512

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 908fdc075f105bc344fa5ec4cbda23a4c558ed7fbb18b5b8208288fa90652fb2
MD5 80156e1eeecfce562b4b245fcbcb4e72
BLAKE2b-256 d1c776f403af36caacd6fff87bd028b38ce45a0bd11f6f282c3f3c907e17648d

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 8.1 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7ed9b5793116c30b9b3d2830372b3f7e9b5e74dd7bd9a615a7f3ef2919203365
MD5 714c95927b898612d8065020a0d56259
BLAKE2b-256 f9c6df8edc8f7ecf74310c7755e8a6d64bcd13b21832c00a9d4d7a7cf975e316

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp39-cp39-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 9.0 MB
  • Tags: CPython 3.9, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 c2de3cf133db5f10ea0722fbf8faa1b39e4c22b702d5b0e6c73ec498ebecb003
MD5 2f3ab21e3585038f370fb2086a7cf966
BLAKE2b-256 d62b437acbf1943970b9dc71c0ebaebea403cb024fdfd85ed2a5e00efdf7aa6d

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp38-none-win_amd64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 9.6 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 333fdb449eb9d9459e02f8a75e27cfb6fba4e7b456872c83db29d51cc32371c1
MD5 949649c3e68ec291961b0abc7c3d3745
BLAKE2b-256 e67bb17f5317b348595dce34007e5cf715bc232d4fbf35fd2c4460d22f56bbf2

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 401da6e7e2fcb486db803d46c261db3510629021ea7e911ca6ce34bfb3435821
MD5 671ddfd169f99479fa9089e52c432998
BLAKE2b-256 fd1b0fe61e60aaa26abbba0549b8838c040825e467723bc65dc3071317e2cd9c

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 8.1 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1d16991c6919ff608e4ba5ff3c4b5729134efddcc1f69c44c5c6f6e9ce82afc8
MD5 3c78931695dbc26222e2c68dd862effd
BLAKE2b-256 f6077d54b736bf90b548cfb202a490ccf2437eea031c781b23e987eb2dcb8ced

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp38-cp38-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp38-cp38-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 9.0 MB
  • Tags: CPython 3.8, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp38-cp38-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 dd6b615f9fe0595ec1bb807cc37a6978c2de973c0268a105037e318e7a72e4c7
MD5 b582f98c74f1483505e6e89ea23ad26e
BLAKE2b-256 7dca89ef95e1dec672405d6736511abd4b25d7a1f26ee905219dd89d2e6aac9b

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp37-none-win_amd64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 9.6 MB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 d793dabb4815542d3591682c127131ab3fef40166598672788db8928475e5643
MD5 77278b5bd5d97f36693381516d4eb16e
BLAKE2b-256 ff3c0a15f6e1ef81f8f9c9581b1c58a2315ac5dbb431b789040f9c20ef875002

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f421fea01be82ee3b048dd4b7016593a0897b5320c30123aeb1fef03458181ff
MD5 b1fb357df8fbfe7a24b20a2a4803c6f5
BLAKE2b-256 1e6203161710fa2ae44295b0d80953ad202ecea15141b1e6bf549a35d4bfcfa8

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp37-cp37m-macosx_11_0_arm64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp37-cp37m-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 8.1 MB
  • Tags: CPython 3.7m, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp37-cp37m-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 252a9ea0211bccb4800827e917f67e6089670820b47ce3e4db6571f19743e80e
MD5 6a51fbb41ab6197429236a5b2e3d7337
BLAKE2b-256 fab09326cc624c7ecdb20bb2576152fa4b64ff6eeeaf0729305019802766377d

See more details on using hashes here.

File details

Details for the file vegafusion_python_embed-0.7.0-cp37-cp37m-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: vegafusion_python_embed-0.7.0-cp37-cp37m-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 9.0 MB
  • Tags: CPython 3.7m, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2

File hashes

Hashes for vegafusion_python_embed-0.7.0-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 ee6b32adcb37a2da614c6cb538cd2eb2ed7927e3550f366d99d7ca1c7eada60c
MD5 9dd60f1500184bb5aa7718845c3c9ed4
BLAKE2b-256 8766e96c506f1920cb561c523b41aee2a1317e7d55e44a3a7c6be1fe1079a13c

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