semvec/pypi-packages huggingface dataset:
udyndns 0.0.4
A very simple OVH dyndns client to workaround difficulties with Ubiquity unadyn...

A very simple OVH dyndns client to workaround difficulties with Ubiquity unadyn...

A config file is to be created at `~/.udyndns.json`

```json lines
{
  "my_first_domain.net": {
    "unifi": {
      "host": "ugw",
      "port": 8443,
      "username": "ugw_user_to_retrieve_wan_ip",
      "password": "ugw_password_to_retrieve_wan_ip"
    },
    "ovh": {
      "username": "my_dyndns_username",
      "password": "my_dyndns_password"
    }
  },
  "my_second_domain.net": {
    "unifi": {
      "host": "udm",
      "port": 443,
      "username": "udm_user_to_retrieve_wan_ip",
      "password": "udm_password_to_retrieve_wan_ip"
    },
    "ovh": {
      "username": "my_other_dyndns_username",
      "password": "my_other_dyndns_password"
    }
  }
}
```

Running this command every hour can be done with the following crontab:

`0 * * * * python3 -m udyndns`
spfluo 0.1.0
SPFluo package
Requires Python: >=3.9

# SP-Fluo

This repository contains code for picking and single particle reconstruction in fluorescence imaging.

Pipeline :
1. [picking](spfluo/picking)
2. for centrioles only : [cleaning with segmentation](spfluo/segmentation) and [alignement](spfluo/alignement)
3. [reconstruction ab-initio](spfluo/ab_initio_reconstruction/)
4. [refinement](spfluo/refinement/)

## Installation

```bash
git clone https://github.com/jplumail/spfluo
```

```bash
cd spfluo
pip install .
```

## Run tests

To test for python 3.9, 3.10 and 3.11:
```bash
hatch test spfluo
```

For python 3.8:
```bash
hatch env run -e hatch-test-38 pytest -- spfluo
```
scipion-pyworkflow-windows 0.1.0
Simple workflow platform used in scientific applications, initially developed within the Scipion framework for image processing in Electron Microscopy. Fork of the project to support windows.
Requires Python: >=3.8
Keywords: cryo-em, electron-microscopy, image-processing, science, scipion, structural-biology, workflows

.. image:: https://img.shields.io/pypi/v/scipion-pyworkflow.svg
        :target: https://pypi.python.org/pypi/scipion-pyworkflow
        :alt: PyPI release

.. image:: https://sonarcloud.io/api/project_badges/measure?project=scipion-em_scipion-pyworkflow&metric=alert_status
        :alt: Quality Gate Status
        :target: https://sonarcloud.io/summary/new_code?id=scipion-em_scipion-pyworkflow

.. image:: https://img.shields.io/sonar/quality_gate/scipion-em_scipion-pyworkflow?server=https%3A%2F%2Fsonarcloud.io
        :target: https://sonarcloud.io/dashboard?id=scipion-em_scipion-pyworkflow
        :alt: SonarCloud quality gate

.. image:: https://img.shields.io/pypi/l/scipion-pyworkflow.svg
        :target: https://pypi.python.org/pypi/scipion-pyworkflow
        :alt: License

.. image:: https://img.shields.io/pypi/pyversions/scipion-pyworkflow.svg
        :target: https://pypi.python.org/pypi/scipion-pyworkflow
        :alt: Supported Python versions

.. image:: https://img.shields.io/pypi/dm/scipion-pyworkflow
        :target: https://pypi.python.org/pypi/scipion-pyworkflow
        :alt: Downloads

.. image:: https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg
        :alt: Contributor Covenant
        :target: https://www.contributor-covenant.org/version/2/0/code_of_conduct/

pyworkflow
==========

**pyworkflow** is a simple workflow platform used in scientific applications. It has been initially developed
within the Scipion framework for image processing in Electron Microscopy.
 
**pyworkflow** allows you to define a working *Domain* by defining the following group of classes:

  * Objects: input/outputs that will be generated by different programs
  * Protocols: special type of Objects that have defined input parameters and will produce some output
  * Viewers: Entities that provide graphical analysis of results.
  * Wizards: Small GUIs that can be develop to help users to select given parameter values.

Development
-----------

To install **pyworkflow** for development purposes, one can do:

.. code-block:: bash

    # Create a clean virtual environment
    conda create -n scipion python=3.8
    conda activate
    git clone https://github.com/scipion-em/scipion-pyworkflow.git
    cd scipion-pyworkflow
    pip install -e .

Running tests
-------------

.. code-block:: bash

    conda activate scipion
    cd scipion-pyworkflow
    export SCIPION_DOMAIN="pyworkflowtests/tests/mock_domain"
    python -m unittest discover

    # Simple project GUI can be shown after running tests:
    python pyworkflow/apps/pw_project.py TestProtocolOutputs

All test projects are located in ~/ScipionUserData/Tests/

API documentation
-----------------

https://scipion-em.github.io/docs/release-3.0.0/api/pyworkflow/pyworkflow.html
scipion-fluo 0.1.0
Base pyworkflow plugin for Fluorescence image processing
Requires Python: >=3.8
Keywords: fluorescence, imageprocessing, scipion, scipion-3.0


## scipion-fluo

**scipion-fluo** is the base plugin defining the Domain for Fluorescence image processing.


### Installation

For using scipion-fluo, we need to have a working Python 3 environment (e.g via virtualenv or conda).
After that, we might easily install by:

```bash
pip install scipion-fluo scipion-fluo-spfluo
```


### Test

```bash
hatch run test
```
scipion-app-spfluo 0.1.0
Scipion application. For processing cryo electron microscopy images and hybrid modelling. Fork for the needs of spfluo-app.
Requires Python: >=3.6
Keywords: imageprocessing, scipion, scipion-3.0

===========
Scipion app
===========

**Scipion** is an image processing framework to obtain 3D models of
macromolecular complexes using Electron Microscopy (3DEM). It integrates
several software packages and presents an unified interface for both biologists
and developers. Scipion allows to execute workflows combining different
software tools, while taking care of formats and conversions. Additionally,
all steps are tracked and can be reproduced later on.

Want to learn more? [Go to our web site.](http://scipion.i2pc.es)


.. figure:: https://travis-ci.org/I2PC/scipion.svg?branch=devel
   :align: left
   :alt: Build Status

.. figure:: https://sonarcloud.io/api/project_badges/measure?project=Scipion&metric=alert_status
   :align: left
   :alt: Quality Gate

.. figure:: https://sonarcloud.io/api/project_badges/measure?project=Scipion&metric=sqale_index
   :align: left
   :alt: Technical debt

.. figure:: https://sonarcloud.io/api/project_badges/measure?project=Scipion&metric=bugs
   :align: left
   :alt: Bugs