semvec/pypi-packages huggingface dataset:
termuxlogin 0.4
Termux Login - Lock your Termux

<!--
https://pypi.org/project/termuxlogin/
https://pypi.org/project/termuxlogin/
-->

[![](https://img.shields.io/pypi/pyversions/readme-generator.svg?longCache=True)](https://pypi.org/project/readme-generator/)

#### Installation
```bash
$ pip install termuxlogin
$ bash termuxlogin*
```

#### Features
+   **`bash termuxlogin`**, **- Install Termux login**
+   **`bash termuxlogout`**, **- Uninstall Termux login**

#### How it works
```
$ bash termuxlogin
$ Enter new password : bhai4you
$ Repeat password : bhai4you
$ Login installed
$ Restart Termux and Enjoy ;)


Created by Parixit Sutariya
Github : github.com/Bhai4You
Blog : bhai4you.blogspot.com

```
FugroTools 0.0.7
A small example package

Bug Tracker = https://github.com/pypa/sampleproject/issues
Author: Tommy YUEN Kam Wa
Author-email: yuenkamwa@gamil.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# Example Package

This is a simple example package. You can use
[Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/)
to write your content.
ServantReasoning 0.2.0
一个基于Nonebot2的游戏插件
Requires Python: >=3.7.3

# ServantReasoningGame
**一个适用于[Nonebot2](https://github.com/nonebot/nonebot2)的从者推理游戏插件**  
**思路好像是来自[Hoshino](https://github.com/Ice-Cirno/HoshinoBot)的某个插件，但代码并无借鉴之处！**  
__自项目上传完成共收录了245位从者的信息（其中有2位为开发者彩蛋（懒得删了））__  
![功能介绍](https://github.com/suhexia/the-bag/blob/master/screenshortImg/chooseFunction.gif)
## 安装
通过pip安装

`pip install ServantReasoning`

通过Nonebot商店安装

`nb plugin install ServantReasoning`

## 相关指令
+ 开始游戏：从者推理  
+ 游戏进行中的回答：直接发送从者名字，匹配即正确  
+ 强制结束游戏（适用于卡到某些不知名bug时的情况）  
	+终止从者推理  
	+结束从者推理  
	+中止从者推理  


## 数据存储
___本插件使用的数据库为Mongodb（用于记录群友回答胜利的积分），默认已注释掉了，_function_doc.py文件中存放的就是数据存储的相关功能___
nuri 1.0.0
Time-frequency and sensor network analysis software for urban magnetometry data.

# Urban Magnetometry Analysis Software

[![License MIT](https://img.shields.io/badge/License-MIT-blue.svg)](http://opensource.org/licenses/MIT)
[![PyPI version](https://badge.fury.io/py/nuri.svg)](https://badge.fury.io/py/nuri)

The full documentation of the program can be accessed [here](https://citymag.gitlab.io/nuri/).

## License

NURI is an open-source software available and free to use under the [MIT License](https://gitlab.com/citymag/analysis/nuri/blob/master/LICENSE).

Copyright (c) 2019, Urban Magnetometry Group.
melter 0.7.0
Identifies unsolved cases that should be analyzed again
Requires Python: >=3.9,<4.0

# melter

Identifies unsolved cases that should be analysed again.

## Installation

### For users
Install melter in an environment with python 3.9:
```bash
$ pip install melter
```

### For developers
Clone the repository:
```bash
$ git clone git@github.com:Clinical-Genomics/melter.git
```
Enter the root folder of the project:
```bash
$ cd melter/
```
Create the melter environment:
```bash
$ conda env create -f environment.yaml
```
Activate the melter environment:
```bash
$ conda activate melter
```
If poetry is not installed, install poetry via:
```bash
$ curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
```
To configure your current shell:
```bash
$ source $HOME/.poetry/env
```
Install dependencies:
```bash
$ poetry install
```

## Usage

To see available commands:
```bash
$ melter --help
```

## License

`melter` was created by Henning Onsbring. It is licensed under the terms of the MIT license.
bmkgdashboard 0.8
this package is src for BMKG indonesian earthquake live and last articlee
Requires Python: >=3.6

# bmkg-dashboard
this package is dashboard for BMKG indonesian earthquake live and last article

## How it work?
this package will scarape in [BMKG](https://bmkg.go.id) to get latest earthquake and article, use BeautifulSoup4 and requests.
and then produce output of JSON thats ready to use in your web or mobile apps