semvec/pypi-packages huggingface dataset:
waybar-openweathermap 1.0.3
Weather info widget for Waybar, from OpenWeatherMap.org
License: MIT
Requires Python: <4.0,>=3.6
Keywords: waybar, sway, swaywm, wayland

Waybar weather plugin
=====================

This plugin uses the [One Call API from OpenWeatherMap.org](https://openweathermap.org/api/one-call-api).

## set your APIKEY and geo location in your shell

In your ~/.bashrc add the following definition and place your APIKEY in there

    # waybar weather settings:
    export WAYBAR_WEATHER_APIKEY="<YOUR OpenWeatherMap API KEY>"
    export WAYBAR_WEATHER_LAT="44.43"
    export WAYBAR_WEATHER_LON="26.02"
    export WAYBAR_WEATHER_UNITS="metric"
    export WAYBAR_WEATHER_EXCLUDE="minutely,hourly,daily"
anormalratingsystem 0.1.5
Rate anything from a scale of 1-10 with simple comparisons! The end result is even normally distributed. Do you like A better than B?
License: MIT
Requires Python: <4.0,>=3.10

# anormalratingsystem

[![GitHub tag (latest by date)](https://img.shields.io/github/v/tag/unkokaeru/anormalratingsystem?label=version)](https://github.com/unkokaeru/anormalratingsystem)
[![Lines Of Code](https://tokei.rs/b1/github/unkokaeru/anormalratingsystem?category=code)](https://github.com/unkokaeru/anormalratingsystem)
[![Continuous Integration (CI) Tests](https://img.shields.io/github/actions/workflow/status/unkokaeru/anormalratingsystem/continuous_integration.yml?label=tests)](https://github.com/unkokaeru/anormalratingsystem)
[![GitHub last commit](https://img.shields.io/github/last-commit/unkokaeru/anormalratingsystem)](https://github.com/unkokaeru/anormalratingsystem)

Rate anything from a scale of 1-10 with simple comparisons! The end result is even normally distributed. Do you like A better than B?

- [anormalratingsystem](#anormalratingsystem)
    - [Features](#features)
    - [Installation](#installation)
    - [Usage](#usage)
    - [Documentation](#documentation)
    - [Contributing](#contributing)
    - [License](#license)

## Features

- [x] Installable via pip
- [x] Command-line interface
- [x] Interactive documentation
- [ ] Rate anything through comparisons
- [ ] Multiple rating systems, 1-10, A-F, etc.
- [ ] Auto-export to Anilist/MyAnimeList support formats.

## Installation

To install anormalratingsystem, simply run:

```bash
pip install anormalratingsystem
```

## Usage

After installation, you can use anormalratingsystem by running:

```bash
$ python3 -m anormalratingsystem
# or
$ anormalratingsystem
```

## Documentation
For more information, you can find the documentation within the [docs](./docs/index.html) directory or on the project's [GitHub Pages](https://unkokaeru.github.io/anormalratingsystem/).

## Contributing

Contributions are welcome! Please refer to our [CONTRIBUTING.md](./CONTRIBUTING.md) for more information.

## License

This project is licensed under the MIT License - see the [LICENSE](./LICENSE) file for details.
latta-django-recorder 0.1
A Django package for error reporting to Latta API
License: MIT

# Latta Django Recorder

This is a python package used to record exception throw inside [Django](https://www.djangoproject.com/) projects, it also supports [Django REST framework](https://www.django-rest-framework.org/)

## Usage

Install latta-django package

```py
pip install latta-django-recorder
```

Registration is fairly straightforward, all you have to do is install the app in `settings.py`

```py

INSTALLED_APPS = [
    # ...
    'latta.latta.apps.LattaConfig',
    # ...
]

```

Then register the Latta middleware

```py
MIDDLEWARE = [
    # ...
    'latta.latta.middleware.LattaMiddleware',
    # ...
]
```

And a a last step provide a Latta api key

```py
LATTA_API_KEY = "..."
```

On application startup it is going to create a new instance and reuse it through the life time of the application. 

Currently it only creates new snapshots when an exception happens. It is going to be fairly easy to extend it to record every request/response, or even just depending on response status code.