recipe libcarna-python

Real-time 3D visualization of biomedical data and beyond in Python

Homepage:

https://github.com/kostrykin/LibCarna-Python

Documentation:

https://libcarna.readthedocs.io

License:

MIT

Recipe:

/libcarna-python/meta.yaml

package libcarna-python

versions:

0.2.0-0

depends ffmpeg:

depends libcarna:

3.4

depends libcarna:

>=3.4.0,<3.5.0a0

depends libegl:

>=1.7.0,<2.0a0

depends libgcc:

>=13

depends libgl:

>=1.7.0,<2.0a0

depends libopengl:

>=1.7.0,<2.0a0

depends libstdcxx:

>=13

depends matplotlib-base:

depends numpngw:

>=0.1.4,<0.2

depends pooch:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends scikit-image:

depends scikit-video:

1.1.*

depends scipy:

depends tifffile:

depends typing_extensions:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install libcarna-python

and update with::

   mamba update libcarna-python

To create a new environment, run:

mamba create --name myenvname libcarna-python

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/libcarna-python:<tag>

(see `libcarna-python/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/libcarna-python/README.html)