recipe paidiverpy

A library to preprocess image data.

Homepage:

https://github.com/paidiver/paidiverpy

License:

APACHE / Apache-2.0

Recipe:

/paidiverpy/meta.yaml

package paidiverpy

(downloads) docker_paidiverpy

versions:

0.1.4-00.1.3-0

depends boto3:

>=1.35.92

depends botocore:

>=1.35.92

depends dask:

>=2024.10.0

depends dask-image:

2024.5.3

depends dask-jobqueue:

>=0.9.0

depends distributed:

>=2024.10.0

depends geopandas:

>=1.0.1

depends geopy:

>=2.4.1

depends ipython:

>=8.26.0

depends jsonschema:

>=4.23.0

depends matplotlib-base:

>=3.5.0

depends numpy:

<2.0

depends opencv:

>=4.11

depends openpyxl:

>=3.1

depends pandas:

>=2.2.2

depends pillow:

>=10.4.0

depends pydantic:

depends python:

>=3.10

depends python-dotenv:

>=1.0.1

depends pyyaml:

>=6.0

depends rawpy:

depends scikit-image:

>=0.24.0

depends scipy:

>=1.14

depends shapely:

2.0.7

depends tqdm:

>=4.66.4

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 paidiverpy

and update with::

   mamba update paidiverpy

To create a new environment, run:

mamba create --name myenvname paidiverpy

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/paidiverpy:<tag>

(see `paidiverpy/tags`_ for valid values for ``<tag>``)

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