semvec/pypi-packages huggingface dataset:
django-request-wyldw 0.0.6
This package was written by https://github.com/django-request/django-request. django-request is a statistics module for django. It stores requests in a database for admins to see, it can also be used to get statistics on who is online etc.

Home-page: https://django-request.readthedocs.io/en/latest/
Author: Kyle Fuller
Author-email: kyle@fuller.li
Maintainer: Mariusz Felisiak
Maintainer-email: felisiak.mariusz@gmail.com
License: BSD
Download-URL: https://pypi.org/project/django-request-wyldw/
Description: .. include:: description.txt
        
        .. image:: https://github.com/django-request/django-request/raw/master/docs/graph.png
        
        As well as a site statistics module, with the active_users template tag and manager method you can also use django-request to show who is online in a certain time.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Web Environment
Classifier: Framework :: Django
Classifier: Framework :: Django :: 1.10
Classifier: Framework :: Django :: 1.11
Classifier: Framework :: Django :: 2.0
Classifier: Framework :: Django :: 2.1
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.6
ritual 0.0.1
Visual scripting tool for Python
Requires Python: >=3.5

# Visual scripting for Pyton

## Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.


### Installing

You can install the method by typing:
```
pip install ritual
```

### Basic usage

Create a new folder, and start the local editor using the command:
```bash
ritual --editor
```
Then, go to `http://0.0.0.0:5000/`.
On the local website, right click to add functions or variables (represented as boxes), and link them to create a graph.
You can save the graph as well as running it by clicking on the top-right buttons.

![UI example](https://raw.githubusercontent.com/kerighan/ritual/master/img/UI_1.png)

You can add different pre-existing packages to the editor, as well as your own (documentation soon), by adding the `--packages` parameter:
```bash
ritual --editor --packages ritual.lib_requests ritual.lib_pandas
```
These packages add a new set of boxes that you can place and call, in this case http requests and Pandas DataFrame basic I/O functions.

When saved, the graph and the packages references are stored in a single .json file (in the graphs/ folder) that you can call later on by omitting the `--editor` parameter:

```bash
ritual -f graphs/XXXX.json
```
Or by loading directly the graph in Python:

```python
from ritual import load_graph

ritual = load_graph("graphs/XXXX.json")
state = ritual.run()
```
The `state` variable is a dict that contains the boxes output values, accessible by box name.

## Authors

Maixent Chenebaux