semvec/pypi-packages huggingface dataset:
flask-attachments 0.2.2
Flask Attachments provides a way to integrate arbitrary media with SQLAlchemy in a Flask website.
Requires Python: >=3.10

# Flask Attachments


[![PyPI](https://img.shields.io/pypi/v/flask_attachments.svg)](https://pypi.python.org/pypi/flask_attachments)
[![Tests](https://github.com/alexrudy/flask-attachments/workflows/Tests/badge.svg)](https://github.com/alexrudy/flask-attachments/workflows/Tests/)
[![Documentation Status](https://readthedocs.org/projects/flask-attachments/badge/?version=latest)](https://flask-attachments.readthedocs.io/en/latest/?badge=latest)
![BSD licensed][license-image]

Flask Attachments provides a way to integrate arbitrary media with SQLAlchemy in a Flask website.

Useful if you can't have all of your media statically defined, and need to allow users or administrators
to upload binary blobs of data.


* Free software: BSD license

[license-image]: https://img.shields.io/badge/license-BSD-blue.svg
pringles-devs 2.0.1
A DEVS model composition library

## Pringles - A DEVS model composition Python
[![Build Status](https://travis-ci.org/colonelpringles/pringles.svg?branch=master)](https://travis-ci.org/colonelpringles/pringles) [![Coverage](https://codecov.io/gh/colonelpringles/pringles/branch/master/graphs/badge.svg)](https://codecov.io/gh/colonelpringles/pringles/branch/master) [![pypi-version](https://img.shields.io/pypi/v/pringles-devs.svg)](https://pypi.org/project/pringles-devs/) [![Total alerts](https://img.shields.io/lgtm/alerts/g/colonelpringles/pringles.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/colonelpringles/pringles/alerts/) [![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/colonelpringles/pringles.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/colonelpringles/pringles/context:python)

Pringles is a DEVS model composition library, which makes easy to assemble and link multiple atomic/coupled models. It works as a Python library, and in its road ahead, will easily integrate with the Jupyter environment.


#### Requirements
- Python 3.9 (check out pyenv if you have a different python version installed)

The library can be installed with pip:
```
pip install pringles-devs
```

#### Extra Requirements
For local development, you can install everything through:
```
make install
```
in the repo root directory.

After changes are made you can locally check the same things the CI does by executing:
```
make local
```


#### Pringles Examples
They can be found in https://github.com/colonelpringles/pringles_examples
neuron-morphology 1.2.2
Tools for working with single-neuron morphological reconstructions
Keywords: neuroscience, bioinformatics, scientific

[![Documentation Status](https://readthedocs.org/projects/neuron-morphology/badge/?version=latest)](https://neuron-morphology.readthedocs.io/en/latest/?badge=latest)
![build workflow](https://github.com/alleninstitute/neuron_morphology/actions/workflows/python-package-conda.yml/badge.svg)

neuron_morphology
=================

A package for working with single-neuron morphological reconstruction data, such as those in the [Allen Cell Types Database](https://celltypes.brain-map.org/). Provides tools for processing, visualizing, and analyzing such reconstructions.

For usage and installation instructions, see the [documentation](https://neuron-morphology.readthedocs.io/en/latest/).

Contributing
------------
We welcome contributions! Please see our [contribution guide](CONTRIBUTING.md) for more information. Thank you!

Level of Support
----------------
We are planning on occasional updating this tool with no fixed schedule. Community involvement is encouraged through both issues and pull requests.