semvec/pypi-packages huggingface dataset:
nwunity 0.2.22
NW-Unity is a tool for auto packing your Unity WebGL output folder to a NW.js executable folder.
Requires Python: >=3
Keywords: NW.js,GameShell,Unity,WebGL

# NW-Unity

![LOGO](nwunity_logo.png)

![PyPI - Wheel](https://img.shields.io/pypi/wheel/nwunity) ![PyPI - Python Version](https://img.shields.io/badge/python-3.x-green) ![version](https://img.shields.io/badge/version-0.2.22-yellow)

NW-Unity is a tool for auto packing your Unity WebGL output folder to a NW.js executable folder.

## Quick Usage

**Install by pip on Windows/Linux/MacOS:**

```powershell
pip install nwunity
```

**Install by pip on GameShell:**

```bash
sudo pip3 install nwunity
```

**Pack your game:**

```bash
# Package your Unity WebGL game(resolution is 320*240, full screen mode is on) on PC, Linux, or MacOS.
nwunity -d '/path/to/UnityWebGLDir' -n 'MyGame' --width 320 --height 240 --fullscreen

# Package your Unity WebGL files on GameShell.
nwunity -d '/path/to/UnityWebGLDir' -n 'MyGame' -p GameShell
```

## How to use

NW-Unity is easy to use. You can install  it by pip.

### Install by pip

```bash
pip install nwunity
```

### Parameters

You can use `nwunity -h` or `nwunity --help` to get help.

| Format           | Parameter Explain                                            |
| ---------------- | ------------------------------------------------------------ |
| -d   --directory | Set the root directory of your Unity WebGL files, default is current working directory. |
| -n   --name      | Set the name of your game, default is 'Untitled-Game'.       |
| --width          | Set the width of your game window, default is 1024.          |
| --height         | Set the height of your game window, default is 768.          |
| --fullscreen     | Set full screen mode on, default is off.                     |
| --noframe        | Hide window frame title, default is show.                    |
| --resizable      | Set resizable mode on, default is off.                       |
| --transparent    | Set transparent mode on, default is off.                     |
| -p   --platform  | Set platform, default is normal(PC, Linux, MacOS...). Options: GameShell. |
| -i   --icon      | Set the icon of the game.                                    |

### GameShell tips

Make sure the OS version of your GameShell is 0.5 or newer.

Switch the GPU Driver of your GameShell to Lima if it's not.

## License

The project is under the [MIT](./LICENSE) license.
xenon-lfp-analysis 0.0.4
Xenon LFP Analysis Platform
Requires Python: >=3.7

# Xenon LFP Analysis Platform

## Introduction
This is an interactive platform for analyzing bandpass filtered (1 to 2048 Hz) Local Field Potential (LFP) activity and seizure-like activity. This Graphical User Interface (GUI) is built in Python using Plotly's Dash library for interactive visualizations, this includes several features to generate summary measures, plots, trace LFP activity over time, and for people familiar with basic Python this can also serve as a boiler plate to customize, add functions and visualization based on individual researchers’ analysis requirements. We demonstrate this new python-based software tool for analysis and tracking of local field potential activity using the 3Brain MEA recording system but it can easily be adapted to any MEA recording platform. This GUI is also easily adaptable to large-scale EEG recordings and likely can provide a useful mapping tool for In-Vivo LFP activity.  Our current GUI has a particular utility for analysis of seizure-like activity but can be used for analysis of any network LFP signal. 

## Installation:
pip install xenon_lfp_analysis

## Run the Xenon LFP Analysis GUI:

After installation you can run the GUI by running the following command in the terminal:
```
$>run_lfp_analysis
```

## Documentation
https://xenon-lfp-analysis.readthedocs.io/en/latest/index.html

## PrePrint
https://www.biorxiv.org/content/10.1101/2022.03.25.485521v1