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Install and run applications packaged with conda in isolated environments

Project description

# condax

[![Docs](https://img.shields.io/badge/docs-mkdocs-informational)](https://mariusvniekerk.github.com/condax) [![GitHub Workflow Status](https://img.shields.io/github/workflow/status/mariusvniekerk/condax/Python%20package)](https://github.com/mariusvniekerk/condax/actions?query=workflow%3A%22Python+package%22) [![Licence: MIT](https://img.shields.io/github/license/mariusvniekerk/condax)](https://github.com/mariusvniekerk/condax/blob/master/LICENSE-MIT) [![PyPI](https://img.shields.io/pypi/v/condax)](https://pypi-hypernode.com/project/condax) [![code-style Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://https://github.com/psf/black)

Condax is inpired by the excellent [pipx](https://github.com/pipxproject/pipx), and attempts to do something similar, just using conda thus lifting the constraints of only packaging python things.

## Installation

condax is distributed on [PyPI](https://pypi-hypernode.com) as a universal wheel and is available on Linux and macOS and supports Python 3.5+ and PyPy.

`bash $ pip install condax `

## License

condax is distributed under the terms of the [MIT License](https://choosealicense.com/licenses/mit).

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