recipe vitessce-python

Jupyter widget facilitating interactive visualization of spatial single-cell data with Vitessce

Homepage:

https://vitessce.io/

Documentation:

https://github.com/vitessce/vitessce-python/blob/main/README.md

Developer docs:

https://github.com/vitessce/vitessce-python

License:

MIT

Recipe:

/vitessce-python/meta.yaml

package vitessce-python

versions:

3.7.7-0,  3.1.0-0

depends black:

>=21.11b1

depends numcodecs:

>=0.5.7,<0.16.0

depends numpy:

>=1.21.2

depends pandas:

>=1.1.2

depends python:

>=3.10

depends scipy:

>=1.2.1

depends zarr:

>=2.5.0,<3

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 vitessce-python

and update with::

   mamba update vitessce-python

To create a new environment, run:

mamba create --name myenvname vitessce-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/vitessce-python:<tag>

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

Download stats

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/vitessce-python/README.html)