:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'ncbi-datasets-pylib' .. highlight: bash ncbi-datasets-pylib =================== .. conda:recipe:: ncbi-datasets-pylib :replaces_section_title: :noindex: Easily gather data from across NCBI databases :homepage: https://www.ncbi.nlm.nih.gov/datasets :documentation: https://www.ncbi.nlm.nih.gov/datasets/docs/v2/download-and-install/ :developer docs: https://github.com/ncbi/datasets :license: Unlicense :recipe: /`ncbi-datasets-pylib `_/`meta.yaml `_ .. conda:package:: ncbi-datasets-pylib |downloads_ncbi-datasets-pylib| |docker_ncbi-datasets-pylib| :versions: .. raw:: html
16.6.1-016.6.0-016.5.0-016.4.9-016.4.8-016.4.7-016.4.5-016.4.4-016.4.3-0 ``16.6.1-0``,  ``16.6.0-0``,  ``16.5.0-0``,  ``16.4.9-0``,  ``16.4.8-0``,  ``16.4.7-0``,  ``16.4.5-0``,  ``16.4.4-0``,  ``16.4.3-0``,  ``16.3.0-0``,  ``16.2.0-0``,  ``16.1.2-0``,  ``16.1.1-0``,  ``16.0.0-0``,  ``15.34.0-0``,  ``15.33.0-0``,  ``15.32.0-0``,  ``15.31.3-0``,  ``15.31.2-0``,  ``15.31.1-0``,  ``15.31.0-0``,  ``15.30.0-0``,  ``15.29.0-0``,  ``15.28.0-0``,  ``15.27.1-0``,  ``15.27.0-0``,  ``15.26.0-0``,  ``15.25.0-0``,  ``15.24.0-0``,  ``15.23.0-0``,  ``15.21.1-0``,  ``15.19.1-0``,  ``15.19.0-0``,  ``15.18.0-0``,  ``15.17.0-0``,  ``15.16.3-0``,  ``15.16.2-0``,  ``15.16.1-0``,  ``15.16.0-0``,  ``15.15.0-0``,  ``15.14.0-0``,  ``15.13.1-0``,  ``15.13.0-0``,  ``15.12.0-0``,  ``15.11.0-0``,  ``14.27.0-0``,  ``14.26.0-0``,  ``14.25.1-0``,  ``14.23.0-0``,  ``14.22.1-0``,  ``14.22.0-0``,  ``14.21.0-0``,  ``14.20.0-0``,  ``14.19.0-0``,  ``14.18.0-0``,  ``14.17.0-0``,  ``14.16.0-0``,  ``14.15.0-0``,  ``14.13.0-0`` .. raw:: html
:depends gffutils: ``0.10.*`` :depends jinja2: ``3.1.*`` :depends jsonlines: ``3.0.*`` :depends protobuf: ``3.20.*`` :depends python: ``>=3.8`` :depends python-dateutil: ``2.8.*`` :depends urllib3: ``1.26.*`` :requirements: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `conda `_) and the Bioconda channel already activated (see :ref:`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 ncbi-datasets-pylib and update with:: mamba update ncbi-datasets-pylib To create a new environment, run:: mamba create --name myenvname ncbi-datasets-pylib 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/ncbi-datasets-pylib: (see `ncbi-datasets-pylib/tags`_ for valid values for ````) .. |downloads_ncbi-datasets-pylib| image:: https://img.shields.io/conda/dn/bioconda/ncbi-datasets-pylib.svg?style=flat :target: https://anaconda.org/bioconda/ncbi-datasets-pylib :alt: (downloads) .. |docker_ncbi-datasets-pylib| image:: https://quay.io/repository/biocontainers/ncbi-datasets-pylib/status :target: https://quay.io/repository/biocontainers/ncbi-datasets-pylib .. _`ncbi-datasets-pylib/tags`: https://quay.io/repository/biocontainers/ncbi-datasets-pylib?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html Link to this page ----------------- Render an |install-with-bioconda| 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/ncbi-datasets-pylib/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/ncbi-datasets-pylib/README.html