semvec/pypi-packages huggingface dataset:
pymds 0.1.6
Metric multidimensional scaling in python.
License: MIT
Keywords: python,mds,antigenic cartography

# pymds

Metric multidimensional scaling in python.

## Install

It can be installed from command-line using
[pip](https://pypi.python.org/pypi/pip):

```bash
pip install pymds
```

## Documentation

Check out [pymds.readthedocs.io](https://pymds.readthedocs.io).

## License

This project is licensed under the MIT license.
Flask-Materialize 0.2.4
An extension that includes Materialize CSS (http://materializecss.com/) in your project, without any boilerplate code.
License: MIT
Keywords: flask materialize materializecss material design css html layout bootstrap responsive widgets wtforms templates

===============
Flask-Material
===============

Flask-Material packages `MaterializeCSS` <https://github.com/Dogfalo/materialize> into an extension that mostly consists
of a blueprint named 'material'. It can also create links to serve Materialize
from a CDN and works with no boilerplate code in your application.


Please see: `https://bitbucket.org/cyberspy/flask_materialize/overview
<https://bitbucket.org/cyberspy/flask_materialize/overview>`_ for additional documentation.
dynsys 0.2.0
Small collection of tools to perform basic modeling of dynamical systems
License: MIT
Requires Python: >=3
Keywords: opencl research nonlinear dynamical-systems

# dynsys
[![GitHub version](https://badge.fury.io/gh/modelflat%2Fdynsys.svg)](https://badge.fury.io/gh/modelflat%2Fdynsys)
[![PyPi version](https://pypip.in/v/dynsys/badge.png)](https://crate.io/packages/dynsys/)

This library contains a collection of utility classes and functions for basic dynamical system 
modeling tasks (such as computing a parameter maps, cobweb (aka Verhulst) diagrams or basins of attraction).

Computations are accelerated using [OpenCL](https://www.khronos.org/opencl). PyQt-based UI elements are provided for displaying
and interacting with data. 

Warning for potential users! Only kind of "documentation" currently available is (poorly commented) examples, 
located under the "examples/" directory. There are plans on writing full-featured documentation across project,
but these are in the not-so-near-future.

### Probably useful links

 1. [PyOpenCL](https://github.com/inducer/pyopencl) -- OpenCL integration for Python
 2. [PyQt5](https://pypi.org/project/PyQt5/) -- Python bindings for Qt platform toolkit
 3. [Pre-built Python packages repo by Christoph Gohlke](https://www.lfd.uci.edu/~gohlke/pythonlibs/) -- for those who have troubles installing Python packages under Windows