semvec/pypi-packages huggingface dataset:
groclimateclient 1.1.9
Python client library for accessing Gro Intelligence's climate data
License: MIT
Requires Python: >=3.6.1,<4.0.0

<p align="center"><img width="20%" src="https://gro-images.s3.amazonaws.com/Gro-Logo-Emble-Blue-LARGE.svg"></p>
<h1 align="center">Gro Climate API Client</h1>
edxml 3.0.1
The EDXML Software Development Kit
License: MIT
Keywords: edxml sdk xml

EDXML SDK
=========

|license| |tests| |docs| |coverage| |pyversion|

.. |license| image::  https://img.shields.io/badge/License-MIT-blue.svg
.. |tests| image::    https://github.com/edxml/sdk/workflows/tests/badge.svg
.. |docs| image::     https://readthedocs.org/projects/edxml-sdk/badge/?version=master
.. |coverage| image:: https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/dtakken/35971300c60a5a54c91084fc80da9b49/raw/covbadge.json
.. |pyversion| image::  https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8%20%7C%203.9%20%7C%203.10-blue

EDXML_ is a data representation that transforms arbitrary data records into stories
that machines can read and understand. Computers can read EDXML documents similar to
how humans read a novel. This enables computers to actively assist human analysts
in making sense of data, correlate data from multiple sources and connect the dots.

This repository contains the **EDXML Software Development Kit (SDK)**. The
SDK features the edxml Python package, which contains an implementation of the
`EDXML specification <http://edxml.org/spec>`_. It also offers some command line
tools to inspect EDXML documents and aid in application development.

The package can be installed using Pip::

    pip install edxml

* `Documentation <http://edxml-sdk.readthedocs.org/>`_ (Read the Docs)
* `Installer <http://pypi.python.org/pypi/edxml/>`_ (PyPI)
* `Source code <https://github.com/edxml/sdk>`_ (Github)

.. _EDXML: http://edxml.org/
tapita 0.1.0
A tool/library to automatically create book covers
License: MIT
Requires Python: >=3.8.1,<4.0
Keywords: ebook,cover

# Tapita: a book cover generator

This is of very limited usefulness for the average person, but
if you have ever needed to generate book covers for a few 
thousand files out of book metadata, then this may be for you!

The image it generates has some colorful "art" thanks to [Dicebear](https://dicebear.com)
which, again, will not change unless you change the title or subtitle
of the book.

This is based off code from [Tenprintcover](https://github.com/mgiraldo/tenprintcover-py) 
although I don't think anything survives of the original code, which has been ported
to Pillow and de-c64-fied.

Usage:

```sh
$ python -m tapita --help
Usage: python -m tapita [OPTIONS]

Options:
  -t, --title <title>        Book title
  -s, --subtitle <subtitle>  Book subtitle
  -a, --author <author>      Book author
  -o, --output <filename>    Output file (- for stdout)
  --help                     Show this message and exit.

```

Example usage:

```sh
$ python -m tapita -t "Dunes" -s "Oh, worms!" -a "Frank Herbert (has no sons)" -o cover.jpg
```
Which produces this image:

![A book cover](https://i.imgur.com/UcjdkkN.jpg)

There are plentiful opportunities for customization, which I will
probably not do anything about.

TODO: packaging and such.