semvec/pypi-packages huggingface dataset:
magnum-ui 15.0.1
Magnum User Interface

========================
Team and repository tags
========================

.. image:: https://governance.openstack.org/tc/badges/magnum-ui.svg
    :target: https://governance.openstack.org/tc/reference/tags/index.html

.. Change things from this point on

=========
Magnum UI
=========

Horizon plugin for Magnum

* Free software: Apache license
* Source: https://opendev.org/openstack/magnum-ui
* Bugs: https://bugs.launchpad.net/magnum-ui
* Documentation: https://docs.openstack.org/magnum-ui/latest/
* Release notes: https://docs.openstack.org/releasenotes/magnum-ui/

Enabling in DevStack
--------------------

Add this repo as an external repository into your ``local.conf`` file::

    [[local|localrc]]
    enable_plugin magnum-ui https://github.com/openstack/magnum-ui

Manual Installation
-------------------

Begin by cloning the Horizon and Magnum UI repositories::

    git clone https://github.com/openstack/horizon
    git clone https://github.com/openstack/magnum-ui

Create a virtual environment and install Horizon dependencies::

    cd horizon
    python tools/install_venv.py

Set up your ``local_settings.py`` file::

    cp openstack_dashboard/local/local_settings.py.example openstack_dashboard/local/local_settings.py

Open up the copied ``local_settings.py`` file in your preferred text
editor. You will want to customize several settings:

-  ``OPENSTACK_HOST`` should be configured with the hostname of your
   OpenStack server. Verify that the ``OPENSTACK_KEYSTONE_URL`` and
   ``OPENSTACK_KEYSTONE_DEFAULT_ROLE`` settings are correct for your
   environment. (They should be correct unless you modified your
   OpenStack server to change them.)

Install Magnum UI with all dependencies in your virtual environment::

    tools/with_venv.sh pip install -e ../magnum-ui/

And enable it in Horizon::

    cp ../magnum-ui/magnum_ui/enabled/_1370_project_container_infra_panel_group.py openstack_dashboard/local/enabled
    cp ../magnum-ui/magnum_ui/enabled/_1371_project_container_infra_clusters_panel.py openstack_dashboard/local/enabled
    cp ../magnum-ui/magnum_ui/enabled/_1372_project_container_infra_cluster_templates_panel.py openstack_dashboard/local/enabled

To run horizon with the newly enabled Magnum UI plugin run::

    python manage.py runserver 0.0.0.0:8080

to have the application start on port 8080 and the horizon dashboard will be
available in your browser at http://localhost:8080/
ballot 0.1.0
Balanced k-means clustering with optimal transport (BalLOT)
Requires Python: >=3.8

# Ballot: Balanced k-means clustering with optimal transport

**Ballot** (Balanced Lloyd with Optimal Transport) is a high-performance Python package for balanced clustering. It solves the problem of creating equal-sized clusters (or clusters with specific capacity constraints) by leveraging Optimal Transport theory and Entropic Regularization (Sinkhorn algorithm).

## Features

- **Speed**: Uses Sinkhorn iterations (E-BalLOT) for near-linear time complexity $O(n \log n)$, making it usable for large datasets ($n > 100,000$).
- **Simplicity**: precise, math-driven implementation without complex C++ dependencies.
- **Scikit-learn Compatible**: Designed to fit seamlessly into existing ML pipelines.

## Installation

Install via pip:

```bash
pip install ballot
```

## Usage

```python
import numpy as np
from ballot.core import solve_entropic_kantorovich

# Example usage (API subject to change in v0.1)
# Create random data and centroids...
# Run balanced clustering...
```

## Development

To install in editable mode for development:

```bash
git clone https://github.com/username/ballot.git
cd ballot
pip install -e .
```

Run tests:

```bash
pytest
```

## References

This project incorporates research from the following paper:

- **BalLOT: Balanced k-means clustering with optimal transport**
  Wenyan Luo, Dustin G. Mixon
  *arXiv:2512.05926*
easy-image-labeling 2.3.0
A simple Flask-based web app for labeling image datasets by uploading and assigning images to user-defined categories.
Requires Python: >=3.13
Keywords: one, two

# easy-image-labeling
This is a lightweight Python application with a Flask-powered web interface that runs locally. It allows users to upload unlabeled image datasets and assign each image to custom-defined labels. The goal is to gradually build a structured, labeled dataset for use in machine learning or other data-driven tasks.
python-magnumclient 4.7.1
Client library for Magnum API
Requires Python: >=3.8

========================
Team and repository tags
========================

.. image:: https://governance.openstack.org/tc/badges/python-magnumclient.svg
    :target: https://governance.openstack.org/tc/reference/tags/index.html

.. Change things from this point on

Python bindings to the Magnum API
=================================

.. image:: https://img.shields.io/pypi/v/python-magnumclient.svg
    :target: https://pypi.org/project/python-magnumclient/
    :alt: Latest Version

.. image:: https://img.shields.io/pypi/dm/python-magnumclient.svg
    :target: https://pypi.org/project/python-magnumclient/
    :alt: Downloads

This is a client library for Magnum built on the Magnum API. It
provides a Python API (the ``magnumclient`` module) and a command-line
tool (``magnum``).

Development takes place via the usual OpenStack processes as outlined
in the `developer guide
<https://docs.openstack.org/infra/manual/developers.html>`_.

* License: Apache License, Version 2.0
* `PyPi`_ - package installation
* `Online Documentation`_
* `Storyboard project`_ - story and task management
* `Bugs`_ - issue tracking
* `Source`_

.. _PyPi: https://pypi.org/project/python-magnumclient
.. _Online Documentation: https://docs.openstack.org/python-magnumclient/latest/
.. _Storyboard project: https://storyboard.openstack.org/#!/project/openstack/python-magnumclient
.. _Bugs: https://storyboard.openstack.org/#!/project/openstack/python-magnumclient
.. _Source: https://opendev.org/openstack/python-magnumclient