python-dist-meta 0.8.1+dfsg-1 source package in Ubuntu

Changelog

python-dist-meta (0.8.1+dfsg-1) unstable; urgency=medium

  * New upstream version 0.8.1+dfsg

 -- Josenilson Ferreira da Silva <email address hidden>  Fri, 24 May 2024 20:47:48 -0300

Upload details

Uploaded by:
Debian Python Team
Uploaded to:
Sid
Original maintainer:
Debian Python Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc

Builds

Oracular: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-dist-meta_0.8.1+dfsg-1.dsc 2.5 KiB 1d982734d46b335e756b8fbc3b219bf3c4e1e7965b5c286c6145183ef5c74fd5
python-dist-meta_0.8.1+dfsg.orig.tar.xz 215.5 KiB 98030ead973c5567155c5dfb37e578bfa2c8ad305d2d355b617d9edf4d2cdbb9
python-dist-meta_0.8.1+dfsg-1.debian.tar.xz 5.1 KiB e1674cac22619344b9398360ecbbb2633b9cc0ba79c84f7cd84486455daa52a0

Available diffs

No changes file available.

Binary packages built by this source

python3-dist-meta: Parse and create Python distribution metadata

 dist-meta and is a set of support tools for managing metadata of a GitHub
 repository. This library provides a convenient way to automatically generate
 and update metadata files such as README files, license files, changelog
 files, and more.
 .
 The main purpose of dist-meta is to ease the process of maintaining these
 files in projects hosted on GitHub by providing a command line interface
 (CLI) to automatically generate and update the necessary metadata files. It
 is especially useful for projects that follow specific standards or formatting
 guidelines for their metadata files.
 .
 you can automate tasks like:
  - Automatically generate and update your project's README file based on a
    predefined or custom template.
  - Generate license files, such as the LICENSE file, from a pool of available
    licenses.
  - Create changelog files based on changes made to your repository.
  - Verify that your project's metadata files are up to date according to
    defined best practices.