semvec/pypi-packages huggingface dataset:
molten 1.0.2
A minimal, extensible, fast and productive API framework.
Requires Python: >=3.6

# molten

[![CI](https://github.com/Bogdanp/molten/workflows/CI/badge.svg)](https://github.com/Bogdanp/molten/actions?query=workflow%3ACI)
[![PyPI version](https://badge.fury.io/py/molten.svg)](https://badge.fury.io/py/molten)
[![Documentation](https://img.shields.io/badge/doc-latest-brightgreen.svg)](https://moltenframework.com)
[![Reddit](https://img.shields.io/badge/discuss-online-orange.svg)](https://www.reddit.com/r/moltenframework/)

*A minimal, extensible, fast and productive API framework for Python 3.*

<hr/>

**Changelog**: https://moltenframework.com/changelog.html <br/>
**Community**: https://www.reddit.com/r/moltenframework/ <br/>
**Documentation**: https://moltenframework.com

<hr/>


## Installation

    pip install molten


## Quickstart

Check out the [examples] folder to get a taste of the framework or
read the [user guide]!


## License

molten is licensed under the LGPL.  Please see [COPYING] and
[COPYING.LESSER] for licensing details.

[COPYING.LESSER]: https://github.com/Bogdanp/molten/blob/master/COPYING.LESSER
[COPYING]: https://github.com/Bogdanp/molten/blob/master/COPYING
[examples]: https://github.com/Bogdanp/molten/blob/master/examples
[user guide]: https://moltenframework.com/guide.html
imshowmasks 0.0.7
A slim package to handle and display binary masks in color over images shown with matplotlib.
Requires Python: >=3.6

# Imshowmasks
This package makes it easy to handle binary masks and display them with matplotlib's imshow. The central structure is the rgb_mask class, which enables simple operations on the binary masks as well as combining them for display. It is possible to highlight the overlap of masks with different color mixing schemes.
post-2-album 0.0.4
Return photo list and caption from telegram post link.
Requires Python: >=3.0

# post_2_album

Return photo list and caption from telegram post

## usage

```
import post_2_album
result = post_2_album.get(url)
result.imgs
result.cap_html
```

The result will be cached, if we see request to bypass cache, we can revisit.

## how to install

`pip3 install post_2_album`