Fast CSS inlining written in Rust

These details have not been verified by PyPI

Project links

Homepage

Project description

css_inline

Blazing-fast CSS inlining for Python implemented with Mozilla's Servo project components.

Features:

Removing style tags after inlining;
Resolving external stylesheets (including local files);
Control if style tags should be processed;
Out-of-document CSS to inline;
Inlining multiple documents in parallel (via Rust-level threads)

The project supports CSS Syntax Level 3.

Installation

To install css_inline via pip run the following command:

pip install css_inline

Pre-compiled wheels for most popular platforms are provided. If your platform is not in the support table below, you will need a Rust compiler to build this package from source. The minimum supported Rust version is 1.54.

Usage

To inline CSS in a HTML document:

import css_inline

HTML = """<html>
<head>
    <title>Test</title>
    <style>h1 { color:blue; }</style>
</head>
<body>
    <h1>Big Text</h1>
</body>
</html>"""

inlined = css_inline.inline(HTML)
# HTML becomes this:
#
# <html>
# <head>
#    <title>Test</title>
#    <style>h1 { color:blue; }</style>
# </head>
# <body>
#     <h1 style="color:blue;">Big Text</h1>
# </body>
# </html>

If you want to inline many HTML documents, you can utilize inline_many that processes the input in parallel.

import css_inline

css_inline.inline_many(["<...>", "<...>"])

inline_many will use Rust-level threads; thus, you can expect it's running faster than css_inline.inline via Python's multiprocessing or threading modules.

For customization options use the CSSInliner class:

import css_inline

inliner = css_inline.CSSInliner(remove_style_tags=True)
inliner.inline("...")

Performance

Due to the usage of efficient tooling from Mozilla's Servo project (html5ever, rust-cssparser and others) this library has excellent performance characteristics. In comparison with other Python projects, it is ~7-15x faster than the nearest alternative.

For inlining CSS in the html document from the Usage section above there is the following breakdown in the benchmarks:

css_inline 0.8.2 - 21.75 us
premailer 3.10.0 - 329.51 us (x15.14)
toronado 0.1.0 - 1.59 ms (x73.28)
inlinestyler 0.2.5 - 2.37 ms (x109.27)
pynliner 0.8.0 - 2.78 ms (x127.89)

And for a more realistic email:

css_inline 0.8.2 - 443.83 us
premailer 3.10.0 - 3.25 ms (x7.33)
toronado 0.1.0 - 35.35 ms (x79.65)
inlinestyler 0.2.5 - 61.08 ms (x137.62)
pynliner 0.8.0 - 99.52 ms (x224.24)

You can take a look at the benchmarks' code at benches/bench.py file. The results above were measured with stable rustc 1.61.0, Python 3.10.4, Linux x86_64 on i8700K, and 32GB RAM.

Python support

css_inline supports CPython 3.6, 3.7, 3.8, 3.9, 3.10, and PyPy 3.7 and 3.8.

The following wheels are available:

	manylinux musllinux x86_64	manylinux musllinux aarch64	macOS Intel	macOS ARM64	Windows 64bit	Windows 32bit
CPython 3.6	✔	✔	✔️	✔ ️	✔️	✔️
CPython 3.7	✔	✔	✔️	✔	✔️	✔️
CPython 3.8	✔	✔	✔️	✔️	✔️	✔️
CPython 3.9	✔	✔	✔️	✔️	✔️	✔️
CPython 3.10	✔	✔	✔️	✔️	✔️	✔️
PyPy 3.7 v7.3	✔¹	✔¹	✔️	N/A	✔️	N/A
PyPy 3.8 v7.3	✔¹	✔¹	✔️	N/A	✔️	N/A

^{¹ PyPy is only supported for manylinux wheels.}

Extra materials

If you want to know how this library was created & how it works internally, you could take a look at these articles:

License

The code in this project is licensed under MIT license. By contributing to css_inline, you agree that your contributions will be licensed under its MIT license.

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

0.19.1

Jan 23, 2026

0.19.0

Dec 29, 2025

0.18.0

Nov 1, 2025

0.17.0

Jul 26, 2025

0.16.0

Jul 16, 2025

0.15.0

Jun 17, 2025

0.14.6

Dec 27, 2024

0.14.5

Dec 27, 2024

0.14.3

Nov 14, 2024

0.14.2

Nov 11, 2024

0.14.1

Apr 27, 2024

0.14.0

Apr 1, 2024

0.13.0

Jan 19, 2024

0.12.0

Dec 28, 2023

0.11.2

Dec 9, 2023

0.11.1

Dec 9, 2023

0.11.0

Sep 26, 2023

0.10.5

Aug 30, 2023

0.10.4

Aug 11, 2023

0.10.3

Jul 1, 2023

0.10.2

Jun 25, 2023

0.10.1

Jun 18, 2023

0.10.0

Jun 16, 2023

0.9.0 yanked

Jun 10, 2023

Reason this release was yanked:

security vulnerability in HTML serialization

0.8.7

Jan 30, 2023

0.8.6

Nov 10, 2022

0.8.5

Nov 2, 2022

0.8.4

Oct 21, 2022

This version

0.8.3

Jul 21, 2022

0.8.2

Apr 1, 2022

0.8.1

Jan 11, 2022

0.8.0

Jan 10, 2022

0.7.8

Jan 8, 2022

0.7.7

Jan 7, 2022

0.7.6

Aug 6, 2021

0.7.5

Jul 24, 2021

0.7.4

Jul 6, 2021

0.7.3

Jun 24, 2021

0.7.2

Jun 22, 2021

0.7.1

Jun 10, 2021

0.7.0

Jun 9, 2021

0.6.2

Jan 28, 2021

0.6.1

Dec 7, 2020

0.6.0

Nov 2, 2020

0.5.0

Aug 7, 2020

0.4.0

Jul 13, 2020

0.3.2

Jul 9, 2020

0.3.1

Jul 7, 2020

0.3.0

Jun 27, 2020

0.2.0

Jun 25, 2020

0.1.0

Jun 24, 2020

Download files

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

Source Distribution

css_inline-0.8.3.tar.gz (24.6 kB view details)

Uploaded Jul 21, 2022 Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

css_inline-0.8.3-pp39-pypy39_pp73-win_amd64.whl (1.3 MB view details)

Uploaded Jul 21, 2022 PyPyWindows x86-64

css_inline-0.8.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 PyPymanylinux: glibc 2.17+ x86-64

css_inline-0.8.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 PyPymanylinux: glibc 2.17+ ARM64

css_inline-0.8.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded Jul 21, 2022 PyPymacOS 10.9+ x86-64

css_inline-0.8.3-pp38-pypy38_pp73-win_amd64.whl (1.3 MB view details)

Uploaded Jul 21, 2022 PyPyWindows x86-64

css_inline-0.8.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 PyPymanylinux: glibc 2.17+ x86-64

css_inline-0.8.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 PyPymanylinux: glibc 2.17+ ARM64

css_inline-0.8.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded Jul 21, 2022 PyPymacOS 10.9+ x86-64

css_inline-0.8.3-pp37-pypy37_pp73-win_amd64.whl (1.3 MB view details)

Uploaded Jul 21, 2022 PyPyWindows x86-64

css_inline-0.8.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 PyPymanylinux: glibc 2.17+ x86-64

css_inline-0.8.3-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 PyPymanylinux: glibc 2.17+ ARM64

css_inline-0.8.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded Jul 21, 2022 PyPymacOS 10.9+ x86-64

css_inline-0.8.3-cp310-cp310-win_amd64.whl (1.3 MB view details)

Uploaded Jul 21, 2022 CPython 3.10Windows x86-64

css_inline-0.8.3-cp310-cp310-win32.whl (1.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.10Windows x86

css_inline-0.8.3-cp310-cp310-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.10musllinux: musl 1.1+ x86-64

css_inline-0.8.3-cp310-cp310-musllinux_1_1_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 CPython 3.10musllinux: musl 1.1+ ARM64

css_inline-0.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.10manylinux: glibc 2.17+ x86-64

css_inline-0.8.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 CPython 3.10manylinux: glibc 2.17+ ARM64

css_inline-0.8.3-cp310-cp310-macosx_11_0_arm64.whl (1.4 MB view details)

Uploaded Jul 21, 2022 CPython 3.10macOS 11.0+ ARM64

css_inline-0.8.3-cp310-cp310-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded Jul 21, 2022 CPython 3.10macOS 10.9+ x86-64

css_inline-0.8.3-cp39-cp39-win_amd64.whl (1.3 MB view details)

Uploaded Jul 21, 2022 CPython 3.9Windows x86-64

css_inline-0.8.3-cp39-cp39-win32.whl (1.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.9Windows x86

css_inline-0.8.3-cp39-cp39-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.9musllinux: musl 1.1+ x86-64

css_inline-0.8.3-cp39-cp39-musllinux_1_1_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 CPython 3.9musllinux: musl 1.1+ ARM64

css_inline-0.8.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.9manylinux: glibc 2.17+ x86-64

css_inline-0.8.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 CPython 3.9manylinux: glibc 2.17+ ARM64

css_inline-0.8.3-cp39-cp39-macosx_11_0_arm64.whl (1.4 MB view details)

Uploaded Jul 21, 2022 CPython 3.9macOS 11.0+ ARM64

css_inline-0.8.3-cp39-cp39-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded Jul 21, 2022 CPython 3.9macOS 10.9+ x86-64

css_inline-0.8.3-cp38-cp38-win_amd64.whl (1.3 MB view details)

Uploaded Jul 21, 2022 CPython 3.8Windows x86-64

css_inline-0.8.3-cp38-cp38-win32.whl (1.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.8Windows x86

css_inline-0.8.3-cp38-cp38-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.8musllinux: musl 1.1+ x86-64

css_inline-0.8.3-cp38-cp38-musllinux_1_1_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 CPython 3.8musllinux: musl 1.1+ ARM64

css_inline-0.8.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.8manylinux: glibc 2.17+ x86-64

css_inline-0.8.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 CPython 3.8manylinux: glibc 2.17+ ARM64

css_inline-0.8.3-cp38-cp38-macosx_11_0_arm64.whl (1.4 MB view details)

Uploaded Jul 21, 2022 CPython 3.8macOS 11.0+ ARM64

css_inline-0.8.3-cp38-cp38-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded Jul 21, 2022 CPython 3.8macOS 10.9+ x86-64

css_inline-0.8.3-cp37-cp37m-win_amd64.whl (1.3 MB view details)

Uploaded Jul 21, 2022 CPython 3.7mWindows x86-64

css_inline-0.8.3-cp37-cp37m-win32.whl (1.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.7mWindows x86

css_inline-0.8.3-cp37-cp37m-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.7mmusllinux: musl 1.1+ x86-64

css_inline-0.8.3-cp37-cp37m-musllinux_1_1_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 CPython 3.7mmusllinux: musl 1.1+ ARM64

css_inline-0.8.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.7mmanylinux: glibc 2.17+ x86-64

css_inline-0.8.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 CPython 3.7mmanylinux: glibc 2.17+ ARM64

css_inline-0.8.3-cp37-cp37m-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded Jul 21, 2022 CPython 3.7mmacOS 10.9+ x86-64

css_inline-0.8.3-cp36-cp36m-win_amd64.whl (1.3 MB view details)

Uploaded Jul 21, 2022 CPython 3.6mWindows x86-64

css_inline-0.8.3-cp36-cp36m-win32.whl (1.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.6mWindows x86

css_inline-0.8.3-cp36-cp36m-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.6mmusllinux: musl 1.1+ x86-64

css_inline-0.8.3-cp36-cp36m-musllinux_1_1_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 CPython 3.6mmusllinux: musl 1.1+ ARM64

css_inline-0.8.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded Jul 21, 2022 CPython 3.6mmanylinux: glibc 2.17+ x86-64

css_inline-0.8.3-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.1 MB view details)

Uploaded Jul 21, 2022 CPython 3.6mmanylinux: glibc 2.17+ ARM64

css_inline-0.8.3-cp36-cp36m-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded Jul 21, 2022 CPython 3.6mmacOS 10.9+ x86-64

css_inline-0.8.3-cp36-abi3-macosx_10_10_universal2.whl (3.0 MB view details)

Uploaded Jul 21, 2022 CPython 3.6+macOS 10.10+ universal2 (ARM64, x86-64)

File details

Details for the file css_inline-0.8.3.tar.gz.

File metadata

Download URL: css_inline-0.8.3.tar.gz
Upload date: Jul 21, 2022
Size: 24.6 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for css_inline-0.8.3.tar.gz
Algorithm	Hash digest
SHA256	`fbcf143634e607a924faf7133b348fbf9de84d61a5e6a3ebe54b250f242f33f4`
MD5	`5ee3f83e883635e6b1751864a429967f`
BLAKE2b-256	`5ea6b239fb1a50834374b66d82d2420466e0a0f0ef36e99a0aa32c02f35f561f`

Algorithm	Hash digest
SHA256	`1b8fb8337133338e925835b8d03584aee6a6feaba69abe4816a0f427d827f55a`
MD5	`0a1b250a97e70fb45f8aef334fb16738`
BLAKE2b-256	`e20271592e9f5ccdedcb4e5484b24b9fb08231d8e9679458c150c63bca43cb8e`

Algorithm	Hash digest
SHA256	`6948888dea40a74f1d055b20eb647555705f3b8629a543177e21116003a1227d`
MD5	`367605b573ac8cf2362881fb8e1af281`
BLAKE2b-256	`5b90ddaa56d3019175c1f81df8d4c6821a2b7c1d6e2762c8ed674670228811ec`

Algorithm	Hash digest
SHA256	`1f5a3c84df73851ffb4b46dee7e3a79c7fd1dc6d44cf4cd2823e2309d38affd4`
MD5	`fa72eef26de73a28f1461540996464e3`
BLAKE2b-256	`29c0118c7831d0656a3683bdf27c3e7e62e8f904c9f8508c708fa5871f488574`

Algorithm	Hash digest
SHA256	`74069ea7f4686a4743f9984588fae9172711dfb6b6e29e88c0ed4bc097dea6be`
MD5	`0856db0e6e5a883c3fc7f9fd82bfbfb7`
BLAKE2b-256	`913d47066f018c8ed1144cab74f416667df59cfeee9e9edbcd2c2625ff7b27c8`

Algorithm	Hash digest
SHA256	`2260884ebc2836c36e4ed471b9a01c9cbd2e24abd85632f8a28b5e02cb72276f`
MD5	`b1d2b6bcb520af079ebdded41fe22978`
BLAKE2b-256	`5201683571b2d7feb58dbd0da5954c7b538c7dafbdf01e51965f2d3d25349cd9`

Algorithm	Hash digest
SHA256	`0f83ac3e92b2cd5238017be4d5801d486923bb69184b563fa0f05f651df77215`
MD5	`df97f056bd49b6d5f93c2f0abf335377`
BLAKE2b-256	`6f92b2ea4955df8249906ea2911af2a2fdd6acba1562e6f87b3121641325b3e3`

Algorithm	Hash digest
SHA256	`4fb34ffc44cb0bdf897d5bac27aab3955fcdd35886c66d6ea3dabfee67aea812`
MD5	`7312fc3916c08c31368ab68956e40363`
BLAKE2b-256	`2027262e35fb64b0eed5ceb8d4dd136857753d34f06cefe5d818d9f6a16855c0`

Algorithm	Hash digest
SHA256	`448754390f36c402aab7b25a9ebdd8ef60a6ca12cf7916cfab06fd715c17670a`
MD5	`c1729601218a485f864570806eebb7e0`
BLAKE2b-256	`0229d9a12532b28d888a0087a55a4ff6941be1bc61f5f9a37a819bd6b84dabc0`

Algorithm	Hash digest
SHA256	`9172279fc0df1b7b2b5c8daee52f3acb874cbf60fedd6343a8072516d182d440`
MD5	`0600bb028190bb78c793e1fdb09be75d`
BLAKE2b-256	`895b91394f53bb7020fb916b73b51b3232511d65c409978f5482374778722541`

Algorithm	Hash digest
SHA256	`04472854a8b13a6ab6c98a6f30340ac38657f176eaed0b649da5afe06b415299`
MD5	`1b6ee20ad1c76fa9032fbb7bbf290798`
BLAKE2b-256	`f4f2d172dfa3db59090aa9865c326fd21b5d8215e60623b964de9e315cd1274b`

Algorithm	Hash digest
SHA256	`944c50ca52b2c08f697d56f5cd0f7485983b552250c8322e75dbceffc3a365be`
MD5	`321df7ca1c91b4b8b84be9316a6201aa`
BLAKE2b-256	`afc62a3efdf8b2953541f1c30166bfbc36e877f3beb11b284ed1882bbd2bc09b`

Algorithm	Hash digest
SHA256	`8638fe1b571e1a153fcbeab81c675bd5366947d6a7ee276d0e22a8ee53a651d1`
MD5	`0fcc3794e64034df71d3e177842a3d81`
BLAKE2b-256	`04b0accda45d340ceaef970ef2ef60c7ab0f7fd23d6f496581c076ad50f00089`

Algorithm	Hash digest
SHA256	`a2222a1ab7c3a8c6e3e0771a63d517d607986b8f70961086d5d39b8c39885e43`
MD5	`e70a1e7ca98c8e7336ded31c994edd65`
BLAKE2b-256	`ba6288cb8062036121fcb86a481822e08fd0b953e3d46233123d2e2a389ec795`

Algorithm	Hash digest
SHA256	`393f4e4dbcf54e7b7e964309628283740968df1cd5e6e8eff3de6f2a9a8fd88e`
MD5	`e508c38fae88a6eea43067dd40f08061`
BLAKE2b-256	`e3b578d806bad7009684eed98f971f6ecdac8bdbe43ef702211832d375487023`

Algorithm	Hash digest
SHA256	`7556d99e4719b15446c504205c7e64f6c5caaec725cbdfb6fd56becae8ff67a4`
MD5	`94906bfb0b6d63706ba2e29a54ea81aa`
BLAKE2b-256	`33b5f35119c9773c8e9d09d6dbd7dee5f788857e704546cef1a02caba8120977`

Algorithm	Hash digest
SHA256	`40df54df72e8196928750f3082d4c55a23e64bcd705c080a0af3d17dcb414dfd`
MD5	`6e0f0595d2443ba5dccd1b789ed36a87`
BLAKE2b-256	`160e66b967bbf025e4a3f4c4a5cd1edb9a0f817f473d508d47eb5e07fe51653d`

Algorithm	Hash digest
SHA256	`19e0ca1bde85eeb5431e0f3ee1acf7f700518a740f4b720d1103586ff90d656f`
MD5	`9fe8fc84483040f0c29c90dbe3086984`
BLAKE2b-256	`b63be04f4e893e0b5b93a7598ba5d9a5547d6a6d88c90613fc5004fc86078f95`

Algorithm	Hash digest
SHA256	`2334efdefe3456492d640a638528dabd66a039cc482a0e1d60acc98b59da367a`
MD5	`2db6964258a4f9f6d481989f50db6cd8`
BLAKE2b-256	`fe3ebb56d77383f58964fa4b9925eb1f017ac378b2440bbcc2d738ed23d8eb8a`

Algorithm	Hash digest
SHA256	`3b914ad803764eec433a6b35a4048f066f7a6a25a6dfd2ae0f2e8cef5284b5c7`
MD5	`c5aebc3202f0e2ca611189c171d6be2a`
BLAKE2b-256	`593e5a279c380c9d03079e0fd4b94d2fb5e269e2dfbcbf1fe913aa7c01a0bd4f`

Algorithm	Hash digest
SHA256	`1bad3f7910a23ca851a047558edc5c889eea065b2bfc183505f1e1a42a976f59`
MD5	`a40f3fa17450e2d08c6ca3efba78841e`
BLAKE2b-256	`152e0762cc0b9a756f1c513fa1ff82c523a7cf730036b2ddd5d823ae3347d091`

css-inline 0.8.3

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

css_inline

Installation

Usage

Performance

Python support

Extra materials

License

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

Algorithm	Hash digest
SHA256	`b0db59d81806d5a9833e2d80e147475435c76d676ee84a0f15a7dc320de41cdf`
MD5	`d120530355861eb1fc53d1249c6941e6`
BLAKE2b-256	`909ce2fc871c2d5614018fa3cc3a36de14f014c3d263035aa958972c42b23e50`

Algorithm	Hash digest
SHA256	`633c2ab6d683dc468f9a618dbdaa61b5a243bacbf129878bfd22e9511e32ae25`
MD5	`0228b117790e3c249e44c490e0e4aed7`
BLAKE2b-256	`8905748d39941fa606842aa9524f5052d3087130e57085c9737601d4238310ab`

Algorithm	Hash digest
SHA256	`76d2daf32ce78f367164d50e09c84ad86433a3a3c0e1fe6b8a3691bdcad1b32f`
MD5	`ca285ae29ea7ce8c1d1a6035d5b167ca`
BLAKE2b-256	`fc8205a3ce904a20b27795a0051e38ccd080c1c510ac2e2821223451adb3f34e`

Algorithm	Hash digest
SHA256	`de498f8e83889b247b65f4d04958943b1f20488bab30ed807793a280356999ea`
MD5	`56bffe11d3a288d97e11eba909a04c01`
BLAKE2b-256	`6d83abc1b66a8683278373c6d951a221377c2e50ea72d8df6ecf53a12cfe3604`

Algorithm	Hash digest
SHA256	`79d3c54b482252eab75f35dc4dc3487e3f05171d395a6313e8049a4eaaf959ad`
MD5	`cebb22b077c59c20211a42005c035775`
BLAKE2b-256	`101b5d547730150103ef8099628d12dff8acf12926587c2bfeafac2a236dfccb`

Algorithm	Hash digest
SHA256	`1c50d93db7a9a2e6dde6dc7c6cfdc69df51cfee36d94c0b2252c307ba7922a9e`
MD5	`3539a3cfc1da336aff800f6c2e0dad0b`
BLAKE2b-256	`1fac90542a18e5d3f7ee6fcd7ec376de8845c0cafceb97a9b6064aed5167b176`

Algorithm	Hash digest
SHA256	`465ac18f27f7330855108d251307aa750f23b3eaf5e3476f042733a44a9deff0`
MD5	`aa6eaed27f8d54ce27d02fb622d5c30f`
BLAKE2b-256	`0c80ebb9d2a16af9557e6d629b7ce692e0ae30ac9e673ee88e48dfc0e2a700d1`

Algorithm	Hash digest
SHA256	`14b37efb1f80eaf46ffff25e6de0f28a22b2b82521e80c3dd004820018428ee5`
MD5	`93f4b5a55b1a435788743550cc9acf52`
BLAKE2b-256	`02f1ee8b0134781c275d89c6e0eefcf76d43e4b3779511555b49f666fa7143dd`

Algorithm	Hash digest
SHA256	`1cc5842de47c82126ad281e69dba57dfc65027999f458cd52104e0c190196efe`
MD5	`7972b4fe5a1c90df719d8923612bae37`
BLAKE2b-256	`93bf03c7ae7ea8225f098d7702b75b30fa76ed229c1539eb16b254eafd33a112`

Algorithm	Hash digest
SHA256	`80ba97728903d10b6b556e4dc53ce894aea33acce24746f3917a4e45bc7341ea`
MD5	`6509574074b6cb64da86a324f501469b`
BLAKE2b-256	`20413b19cfd0c5c7bffb5c22deb7d67c04be0623cc96228568af7df4ef82e9ea`