🦅 TOML Toolkit 🦅

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for yassun7010 from gravatar.com yassun7010

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Requires: Python >=3.10
Classifiers
Report project as malware

Project description

Logo

VS Code Marketplace Open VSX Registry JetBrains Marketplace Zed Extension homebrew pypi npm toml-test GitHub license


🦅  TOML Toolkit  🦅

Tombi(鳶 /toɴbi/) provides a Formatter, Linter, and Language Server

📚 Documentation 📚

Quick Start

To quickly try out Tombi's formatter, you can run:

uvx tombi format

Support us

If you like this project and would like to support us

GitHub Sponsor

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for yassun7010 from gravatar.com yassun7010

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Requires: Python >=3.10
Classifiers

Release history Release notifications | RSS feed

This version

0.9.13

0.9.12

0.9.11

0.9.10

0.9.9

0.9.8

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.0

0.7.33

0.7.32

0.7.31

0.7.30

0.7.29

0.7.28

0.7.27

0.7.26

0.7.25

0.7.24

0.7.23

0.7.22

0.7.19

0.7.18

0.7.17

0.7.16

0.7.15

0.7.14

0.7.13

0.7.12

0.7.11

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

Download files

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

Source Distribution

tombi-0.9.13.tar.gz (617.8 kB view details)

Uploaded Source

Built Distributions

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

tombi-0.9.13-py3-none-win_amd64.whl (9.1 MB view details)

Uploaded Python 3Windows x86-64

tombi-0.9.13-py3-none-win32.whl (7.9 MB view details)

Uploaded Python 3Windows x86

tombi-0.9.13-py3-none-musllinux_1_2_x86_64.whl (10.5 MB view details)

Uploaded Python 3musllinux: musl 1.2+ x86-64

tombi-0.9.13-py3-none-musllinux_1_2_i686.whl (10.5 MB view details)

Uploaded Python 3musllinux: musl 1.2+ i686

tombi-0.9.13-py3-none-musllinux_1_2_armv7l.whl (9.8 MB view details)

Uploaded Python 3musllinux: musl 1.2+ ARMv7l

tombi-0.9.13-py3-none-musllinux_1_2_aarch64.whl (10.1 MB view details)

Uploaded Python 3musllinux: musl 1.2+ ARM64

tombi-0.9.13-py3-none-manylinux_2_28_aarch64.whl (10.1 MB view details)

Uploaded Python 3manylinux: glibc 2.28+ ARM64

tombi-0.9.13-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.3 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

tombi-0.9.13-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl (9.9 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ s390x

tombi-0.9.13-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (11.2 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ppc64le

tombi-0.9.13-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl (11.1 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ i686

tombi-0.9.13-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (9.8 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARMv7l

tombi-0.9.13-py3-none-macosx_11_0_arm64.whl (9.6 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

tombi-0.9.13-py3-none-macosx_10_12_x86_64.whl (9.9 MB view details)

Uploaded Python 3macOS 10.12+ x86-64

File details

Details for the file tombi-0.9.13.tar.gz.

File metadata

  • Download URL: tombi-0.9.13.tar.gz
  • Upload date:
  • Size: 617.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.12.6

File hashes

Hashes for tombi-0.9.13.tar.gz
Algorithm Hash digest
SHA256 1bb0c6b7ac20a7d48331f07cf08b08f53b4d7eedc5cc15305d086092be2ac4cf
MD5 5ee680f1d55e57ecdce2379d16b69f7c
BLAKE2b-256 ca284eb7a756e6ab92aa833ff49b23834c9fbd327dcfc8e53f98ab6b786116c4

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-win_amd64.whl.

File metadata

  • Download URL: tombi-0.9.13-py3-none-win_amd64.whl
  • Upload date:
  • Size: 9.1 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.12.6

File hashes

Hashes for tombi-0.9.13-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 47cff1d6fad9e825d0b79842dcd33790fa86fca8a009e545233303cf7c105a98
MD5 f20539bc6fe2b3f3bd08c0aee4c28d67
BLAKE2b-256 9d953c645757eff5837b9916ec3ba7c45634dc2db0168a364eea4054e8906592

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-win32.whl.

File metadata

  • Download URL: tombi-0.9.13-py3-none-win32.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: Python 3, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.12.6

File hashes

Hashes for tombi-0.9.13-py3-none-win32.whl
Algorithm Hash digest
SHA256 f84155f49d03f4e7712a2fbd8b23c4e284170b5876a9755100a412c849da8634
MD5 0ed2f6c5e03f29ac140a0015dbded396
BLAKE2b-256 bbcb5703ac09ceeae47677d498a0f865f27bab12f8b821dc0295b98efb2041a9

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 8ea6d02b4b0e9c1858715ad6e5ec04a4cd62f013e0e8eebdf7c401c4d9659d36
MD5 c5650a3fbd57fa0d5c1d9d91a295c1da
BLAKE2b-256 4977895e9e32370420f915955bafafc8ee4b21ed4d91f53b5524b7d4fd1168ea

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 fb913265c5b6cb29b25c990add47f4b4bda06e2ab65f766b9e7c56687e5b9c2b
MD5 f554be33766bd66886d94b6e8e047a27
BLAKE2b-256 d07e27743d7490170499afb771f147b2042765bd614b46215a4787945df98948

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 7b8a9c0224abe0f7f05aabc9707b23ef9feddeab6a83fa3ecaf36649cef8f1da
MD5 90a0dd31fa727c2f655dde9c7c00fccf
BLAKE2b-256 a9a046ed51641bf8950430def825df7817c2cfb60b905121c302d743e1bb07f5

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 290585e3f978477abded9b860b4befc9e0570603c5d30d217501dda1f5d9bbbd
MD5 671825c7231e94751af8fa31bc1dde62
BLAKE2b-256 036e47c4911d5039d41df47f4be5a954930b06cabd239b153d8b1c1edd857353

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 f629f8464b7bde905a2e05b72d700b1ebe697efb59ecf72885f5e26fa163d471
MD5 0df6ecefe2257862fcb3d1854e4a9138
BLAKE2b-256 7e2a7fbf78adf8200c1e7eb169e5423078f658e7d0f7f4177149fee09d75ef42

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 64095b5586735ab0aace1902450622a032ac616ccb9123388cb801c96c8d719e
MD5 662f15c021caed6fcc09a3655a95fc63
BLAKE2b-256 5e3c1269a6c3fd4d402c98f944189554a204e517a78ec64ae11286a5cff4fb43

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 335968b00a6afa0db1c6ca76e7e4afa05ac406e82e24f03b85df2d3276e874fc
MD5 32d12ff1297872ee8c59ffcf8126abc3
BLAKE2b-256 9c5e4a55513634f93ced7da601889bcc696373424a35b4bc8cb8937a84a48189

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 a4bba5ed1e42ff837bb589f13f81d8f2ba5b6ea6eed60b6e8fef815aca7425c4
MD5 c81b7d5ed1ef5cbcbdd0bbf732bb6c79
BLAKE2b-256 b2d3ffe32b24035f181030be2bb789d341078dfbc40cd1a2e337ebb75b3ad664

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f3e94514920d99415fce13a3f1fe0ecb90bf04dc18aed7e9177fe05f5d50c936
MD5 746498a3db2a111e0bb996cfd90b6641
BLAKE2b-256 c41479398b630c3d2fd081bc0f86cda246851adeef32e03aac14d5ecfc854fb4

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 9d1bf2efbfd876060a07c93c08f009252dba6d18b32b4e53347cc62c1012e8d4
MD5 dbaa7951d61bb3a50bf77a227496618c
BLAKE2b-256 13887e48f4f605818b2a321152947188bc8a627d1fdf5595b99ab9bd18c92c7b

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7794d0cdc429d4f1a31b1cada2fff64cb2d62dc731067109f3f70baecda22fd4
MD5 6876a329b08fa010e8a85badf702df19
BLAKE2b-256 9e7d122e1e686602cf52d3f8be2252280859ebc6d3b216c26804198825da7fe9

See more details on using hashes here.

File details

Details for the file tombi-0.9.13-py3-none-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for tombi-0.9.13-py3-none-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ca5e9dcd22bf42633843846ecd2b2e86d2434cd07a76544d9a80da9bb6e64c72
MD5 12945854a0504aa5a404a3443c88f17b
BLAKE2b-256 72cce1ed9b09c8cff8007f22273f3be7ea1474a5eaf84c2979353df2a0ae8178

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page