semvec/pypi-packages huggingface dataset:
mkdocs-vacantplanet 0.1.13
Default mkdocs theme for VacantPlanet projects
License: MIT

MkDocs Vacant Planet Theme
=========================

This is a theme for MkDocs which is mainly used in [VacantPlanet](https://vacantplanet.dev) projects 

## Installation

Install the package from PyPi using `pip`:

    pip install mkdocs-vacantplanet

Add the theme to your `mkdocs.yml` file:

    theme:
        name: vacantplanet

## Development server

    mkdocs serve -w theme   

## Styles

Install Dart Sass via `npm install -g sass`. During develompment:

    sass --watch styles:theme

## Deploy to PyPi

Install `twine` and `build` if not already done. Bump version number in `setup.py`, then:

    git tag -a vX.X.X -m "Version X.X.X"
    git push origin vX.X.X
    sass --style=compressed --no-source-map styles:theme
    python -m build
    python -m twine upload dist/*
phenospy 0.250
Tools for making and processing computable phenotypes
License: MIT

![PyPI - Downloads](https://img.shields.io/pypi/dm/phenospy?color=blue&label=PyPI%20Downloads)

# Phenospy (= Phenoscript Python tools)

 <p align="left">
  <img src="https://raw.githubusercontent.com/sergeitarasov/PhenoScript/main/phenospy.png" width="300" title="Phenospy logo">
  <img src="https://raw.githubusercontent.com/sergeitarasov/vscode-phenoscript/main/icon.png" width="300" title="Phenoscript logo">
</p> 


[Phenospy](https://pypi.org/project/phenospy/) is a Python package that facilitates the automatic analysis and comparison of ontology-based (= semantic) descriptions of species and phenotypes. Phenospy works with descriptions written in [Phenoscript](https://github.com/sergeitarasov/vscode-phenoscript), a computer language designed for describing species (support for other semantic approaches is under development). 

The Phenoscript language allows rapid coding of morphological and ecological traits using an individual-based approach (ontology's A-box). You can efficiently code Phenoscript by using the [VS Code Phenoscript extension](https://marketplace.visualstudio.com/items?itemName=Tarasov-Lab.phenoscript) that provides syntax highlighting and snippet support. It can be installed from the Marketplace from within the VS Code. Its GitHub repository can be accessed [here](https://github.com/sergeitarasov/vscode-phenoscript). Afterward, Phenospy can be used to analyze and process the semantic descriptions.



## What can I do with Phenospy?

- Create snippets based on selected ontologies for writing semantic phenotypes with the VS Code Phenoscript extension.
- Convert the Phenoscript description into an OWL file.
- Convert the Phenoscript description into an annotated Natural Language description (Markdown format).
- Automatically compare species and phenotypes (under development).

## Documentation

See [Wiki for details](https://github.com/sergeitarasov/PhenoScript/wiki).

## Requirements

* `Python >=3.0`

If you are a new user with Python 2 installed, you should uninstall it and install Python 3 instead. For more information, please refer to [this discussion](https://stackoverflow.com/questions/3819449/how-to-uninstall-python-2-7-on-a-mac-os-x-10-6-4).


## Install
Phenospy can be installed directly from the [PyPI repository](https://pypi.org/project/phenospy/) by running the following command in your terminal (macOS) or a command prompt (Windows):

```{bash}
pip install phenospy
```

## Issues

See [issues for details](https://github.com/sergeitarasov/PhenoScript/wiki/Issues).