semvec/pypi-packages huggingface dataset:
unpaddedbase32 0.2.0
Enables the ability to use base32 without padding
Requires Python: >=3.6

Use base32 without padding in Python

[![Build Status](https://travis-ci.org/beardog108/python-unpaddedbase32.svg?branch=master)](https://travis-ci.org/beardog108/python-unpaddedbase32)

Allowed by [RFC 4648](https://tools.ietf.org/html/rfc4648#section-3.2)

Install: pip install unpaddedbase32

Python 3.6+
kervi 0.21.5
 A python framework for creating robotic and automation applications on Raspbery pi (and other platforms). UI is web based and generated on the fly based on configuration in python code. 
Requires Python: >=3.5.0
Keywords: raspberry pi,robotic,automation

# kervi
Easy Python framework for robotic and automation projects.
The framework runs on all platforms that supports Python and have hardware support for Raspberry pi.
Wire up sensors, controllers and other devices to your Raspberry PI and link them to web based dashboards
and internal application logic.

Knowledge about web servers, html or web programming is not needed.
UI configuration is done in python code and the framework creates the web ui.

Features of the framework are:
* Python classes for handling sensors, displays, motors, gpio and other hardware.
* Python classes for handling user interactions from controllers on dashboards.
* Integrated camera handling (Raspberry PI camera at the moment)
* Device driver library for common devices 
* Very easy dashboard setup.
* Dashboard UI is responsive and scales from mobile phones to desktop.
* Multi process oriented by spreading over more than one core.
* Multi device oriented by connecting multiple Raspberry Pi's in one large application. 
* No web development knowledge is required as dashboard layout is handled in python. 


[Read the full documentation](https://kervi.org/)

<img src="https://kervi.github.io/_images/dashboard_browser.png" width="500"> <img src="https://kervi.github.io/_images/dashboard_mobile.png" width="300">

<img src="https://kervi.github.io/_images/dashboard_cam.png" width="500"> <img src="https://kervi.github.io/_images/panel_cam.png" width="300">


Install Kervi via pip:

On Raspberry Pi

```
sudo pip3 install kervi[rpi]
```

On other systems like windows and linux:
```
pip3 install kervi
```

After Kervi is installed, a commandline tool called *kervi* is available.
Via the commandline interface it is possible scaffold Kervi apps and
setup image and video handling on Raspberry PI.

Create your  first app in an empty folder by executing:
```
kervi create application myapp "My first app"
```

Start your new app by executing: 
```
python myapp.py
```

The following output should be displayed:
(example)
```
Starting kervi application, please wait
load sensors
load controllers
load cameras
init IPC
Your Kervi application is ready at http://192.168.0.120:8080
```

Goto the url specified
greentext 2019.11.5
A 4chan object library for navigating the 4chan API intuitively
Requires Python: >=3.6
Keywords: 4chan,chan,boards,4chan.org,4channel.org,4cdn.org

#greentext

##About
greentext is a 4chan object library for navigating the 4chan API intuitively.

When using **greentext**, it goes without saying that you need to adhere to the [4chan API rules](https://github.com/4chan/4chan-API#api-rules).