recipe radiantkit

Radiantkit is a Python package containing tools for full-stack image analysis YFISH images.

Homepage:

https://github.com/bicrolab/radiantkit

License:

MIT / MIT

Recipe:

/radiantkit/meta.yaml

package radiantkit

versions:

0.1.0-0

depends czifile:

>=2019.7.2

depends joblib:

>=0.16

depends nd2reader:

>=3.3

depends numpy:

>=1.20

depends pandas:

>=1.1

depends pims:

>=0.5

depends plotly:

>=4.13

depends python:

depends rich:

>=13

depends scikit-image:

>=0.19

depends tifffile:

>=2020

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 radiantkit

and update with::

   mamba update radiantkit

To create a new environment, run:

mamba create --name myenvname radiantkit

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/radiantkit:<tag>

(see `radiantkit/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/radiantkit/README.html)