semvec/pypi-packages huggingface dataset:
django-rich-logging 0.3.0
A prettier way to see Django requests while developing.
License: MIT
Requires Python: >=3.7,<4.0
Keywords: django,python,static,markdown

<p align="center">
  <a href="https://django-rich-logging.readthedocs.io"><h1 align="center">django-rich-logging</h1></a>
</p>
<p align="center">A prettier way to see Django requests while developing.</p>

![PyPI](https://img.shields.io/pypi/v/django-rich-logging?color=blue&style=flat-square)
![PyPI - Downloads](https://img.shields.io/pypi/dm/django-rich-logging?color=blue&style=flat-square)
![GitHub Sponsors](https://img.shields.io/github/sponsors/adamghill?color=blue&style=flat-square)

📖 Complete documentation: https://django-rich-logging.readthedocs.io

📦 Package located at https://pypi.org/project/django-rich-logging/

## ⭐ Features

- live-updating table of all requests while developing

![demo of django-rich-logging](https://raw.githubusercontent.com/adamghill/django-rich-logging/main/django-rich-logging.gif)

## Installation

`poetry add django-rich-logging` OR `pip install django-rich-logging`

### Configuration

```python
# settings.py

# other settings here

LOGGING = {
    "version": 1,
    "disable_existing_loggers": False,
    "handlers": {
        "django_rich_logging": {
            "class": "django_rich_logging.logging.DjangoRequestHandler",
            "level": "INFO",
        },
    },
    "loggers": {
        "django.server": {"handlers": ["django_rich_logging"], "level": "INFO"},
        "django.request": {"level": "CRITICAL"},
    },
}

# other settings here
```

Read all of the documentation at https://django-rich-logging.readthedocs.io.
commitguard 2.2.0
Library for managing and writing git hooks in Python using pyproject.toml for its settings ✨
License: MIT
Requires Python: >=3.7.2,<4.0.0
Keywords: git,formatting,linting,hooks


<p align="center">
    <em>Library for managing and writing git hooks in Python using `pyproject.toml` for its settings ✨</em>
</p>

## Installation

You can add commitguard in a few easy steps. First of all, install the dependency:

```shell
$ pip install commitguard

---> 100%

Successfully installed commitguard-0.1.0
```

or Using poetry

```shell
poetry add --dev commitguard
poetry run commitguard activate --mode poetry
```

The output of `commitguard activate` should be similar to:

```shell
 ✓ commitguard pre-commit hook installed at /commitguard/.git/hooks/pre-commit using poetry mode.
```

CommitGuard offers an adaptable plugin architecture where each plugin offers unique features that might require the installation of supplementary dependencies.

To manage these dependencies, CommitGuard presently supports three modes:


* `pythonpath` for dependency management via [pip]
* `poetry` for dependency management via [poetry] (recommended)
* `pipenv` for dependency management via [pipenv]

These modes dictate how CommitGuard, the plugins, and their dependencies are loaded during git hook execution.

## License

This project is licensed under the terms of the MIT license.
sportydatagen 0.2.2
Sports activity generator module
License: MIT
Requires Python: >=3.11,<4.0
Keywords: artificial sport trainer,computational intelligence,data mining,sport activities,tcx

# SportyDataGen -- Generator of Endurance Sports Activity Collections (datasets)

## About

SportyDataGen Library is a Python library designed to work with sport GPX and TCX files. It allows users to easily convert these file types into CSV format, extract feature data, and return random data based on specified conditions.

It aims to help researchers to create datasets for machine learning and data mining applications.

## Features
* Conversion of GPX and TCX files to CSV format
* Extraction of feature data from sport files, including GPS coordinates, ascent, heart rate, distance and more
* Merge of multiple csv files into a single dataset
* Random selection of data based on the number of rows, percentage of rows in a file or custom conditions
* Integration with Python scripts to provide an efficient data processing pipeline

## Reference Papers:

Ideas are based on the following research papers:

[1] Fister, I., Jr.; Vrbančič, G.; Brezočnik, L.; Podgorelec, V.; Fister, I. [SportyDataGen: An Online Generator of Endurance Sports Activity Collections](https://www.iztok-jr-fister.eu/static/publications/225.pdf). In Proceedings of the Central European Conference on Information and Intelligent Systems, Varaždin, Croatia, 19–21 September 2018; pp. 171–178.

## License

This package is distributed under the MIT License. This license can be found online at <http://www.opensource.org/licenses/MIT>.

## Disclaimer

This framework is provided as-is, and there are no guarantees that it fits your purposes or that it is bug-free. Use it at your own risk!