semvec/pypi-packages huggingface dataset:
django-rijkshuisstijl 0.3.1
Rijkshuisstijl boilerplate for Django.
License: MIT
Keywords: Rijkshuisstijl

=====================
django-rijkshuisstijl
=====================

Rijkshuisstijl boilerplate for Django.

:Version: 0.3.1
:Source: https://github.com/maykinmedia/django-rijkshuisstijl
:Keywords: ``Django, rijkshuisstijl``
:PythonVersion: 3.11


.. contents::

.. section-numbering::

Features
========

* Basic rijkshuisstijl (Dutch government branding) layout including headers, footer, buttons, forms and more.
* Modular setup using inclusion tags.
* Responsive

Installation
============

Requirements
------------

* Python 3.11 or above
* setuptools 30.3.1 or above
* Django 4.2 or above


Install
-------

Install from PyPI with pip:

.. code-block:: bash

    pip install django-rijkshuisstijl


Then add "rijkshuisstijl" and "sitetree" to INSTALLED_APPS.

Usage
=====

Add CSS/JS/icons to your main template:

.. code-block:: html

    {% load rijkshuisstijl %}
    <!DOCTYPE html>
    <html lang="nl" class="views">
    <head>
        {% meta_css %}
        {% meta_icons %}
    </head>
    <body class="view__body">
        {% meta_js %}
    </body>

Then add the basic structure, supply the current urls for various urls (depending on your project):

.. code-block:: html

    {% load rijkshuisstijl %}
    <!DOCTYPE html>
    <html lang="nl" class="views">
    <head>
        {% meta_css %}
        {% meta_icons %}
    </head>
    <body class="view__body">
        {% skiplink %}
        {% login_bar details_url='#' logout_url='#' login_url='#' registration_url='#' %}
        {% header %}
        {% navigation_bar details_url='#' logout_url='#' login_url='#' registration_url='#' %}

        <main class="view__content">
            {% skiplink_target %}
        </main>

        {% footer %}
        {% meta_js %}
    </body>

See the documentation for further information about logos, navigation, forms and datagrids.
spectrum-io 0.8.0
IO related functionalities for oktoberfest.
License: MIT
Requires Python: <3.14.0,>=3.10

Spectrum IO: File / Data Conversion for Mass Spec data within the Oktoberfest ecosystem
=======================================================================================

|PyPI| |Python Version| |License| |Read the Docs| |Build| |Tests| |Codecov| |pre-commit| |Black|

.. |PyPI| image:: https://img.shields.io/pypi/v/spectrum_io.svg
   :target: https://pypi.org/project/spectrum_io/
   :alt: PyPI
.. |Python Version| image:: https://img.shields.io/pypi/pyversions/spectrum_io
   :target: https://pypi.org/project/spectrum_io
   :alt: Python Version
.. |License| image:: https://img.shields.io/github/license/wilhelm-lab/spectrum_io
   :target: https://opensource.org/licenses/MIT
   :alt: License
.. |Read the Docs| image:: https://img.shields.io/readthedocs/spectrum_io/latest.svg?label=Read%20the%20Docs
   :target: https://spectrum-io.readthedocs.io/
   :alt: Read the documentation at https://spectrum-io.readthedocs.io/
.. |Build| image:: https://github.com/wilhelm-lab/spectrum_io/workflows/Build%20spectrum_io%20Package/badge.svg
   :target: https://github.com/wilhelm-lab/spectrum_io/actions?workflow=Package
   :alt: Build Package Status
.. |Tests| image:: https://github.com/wilhelm-lab/spectrum_io/workflows/Run%20spectrum_io%20Tests/badge.svg
   :target: https://github.com/wilhelm-lab/spectrum_io/actions?workflow=Tests
   :alt: Run Tests Status
.. |Codecov| image:: https://codecov.io/gh/wilhelm-lab/spectrum_io/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/wilhelm-lab/spectrum_io
   :alt: Codecov
.. |pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white
   :target: https://github.com/pre-commit/pre-commit
   :alt: pre-commit
.. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :target: https://github.com/psf/black
   :alt: Black

spectrum_io is a package primarily developed for usage within the rescoring and spectral library generation pipeline oktoberfest (https://github.com/wilhelm-lab/oktoberfest).

It provides the following functionalities:
 -   read search results from different search engines (MaxQuant, MSFragger, Sage, Xisearch) or a generic csv format and transform them to the internal format for rescoring with oktoberfest
 -   extraction of MS2 level spectra from .RAW files and conversion to to mzML for rescoring with oktoberfest
 -   spectra extraction from .d folders, conversion to .hdf5 format, and aggregation to MS2 level with metadata from a MaxQuant search for timsTOF rescoring with oktoberfest
 -   in-silico digestion of a fasta file with various configuration options (protease, missed cleavages, length of peptides, fragmentation, ...) for spectral library generation with oktoberfest
 -   write spectral libraries in dlib, msp, or spectronaut(csv) format
 -   parquet file creation for peptide prediction model development and refinement within DLOmix