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asyncapy 0.5.1
A fully fledged Python 3.6+ library to serve APIs asynchronously
Requires Python: >=3.6

# AsyncAPY - A fully fledged Python 3.6+ library to serve APIs asynchronously 

![Logo](https://i.ibb.co/2jsY3Kv/IMG-20200316-114028-125.png)

[![Documentation Status](https://readthedocs.org/projects/asyncapy/badge/?version=master)](https://asyncapy.readthedocs.io/en/dev/?badge=latest) 
[![Build Status](https://travis-ci.com/intellivoid/AsyncAPY.svg?branch=master)](https://travis-ci.com/intellivoid/AsyncAPY)
![Open Issues](https://img.shields.io/github/issues/intellivoid/AsyncAPY) 
![License](https://img.shields.io/github/license/intellivoid/AsyncAPY)
![Stars](https://img.shields.io/github/stars/intellivoid/AsyncAPY)
![Python version](https://img.shields.io/badge/python-%3E%3D3.6-yellow)
![GitHub repo size](https://img.shields.io/github/repo-size/intellivoid/AsyncAPY)
![Version](https://img.shields.io/badge/version-0.5.0-blue)

AsyncAPY is a Python framework, supporting Python 3.6 and above, that simplifies the process of creating API backends with an async flavor without having to actually deal with the low-level I/O operation, cancellation/timeout handling and all that messy stuff, because AsyncAPY does that automatically under the hood, and it does so in a smart way that grants stability and low resource demand.

Some of its features are:

- **Fully** asynchronous
- Automatic timeout and error handling
- Custom application layer protocol
- Groups: multiple functions can handle the same packet and interact with the remote client
- __Powerful, easy-to-use and high level API__ for clients, packets and sessions
- Packets filtering
- Easy to _code, read and understand_
- **Minimize** boilerplate code
- Native support for JSON and a custom standard (see [here](https://github.com/netkas/ZiProto-Python))
- Simple protocol specifications: The protocol can be easily reimplemented in any language
- Automatic handling of API subscriptions (API keys)

# Documentation

The official documentation is available [here](https://asyncapy.readthedocs.io/latest)

# Getting started

## Installing

Right now, the package is not available on PyPi because some custom dependencies need to be documented and published to the index before AsyncAPY can be succesfully installed via pip. In the meanwhile, you can run the following command in your terminal/shell (assuming pip and git are already installed):

`python3 -m pip install --user git+https://github.com/intellivoid/AsyncAPY`

This will install AsyncAPY and its dependencies in your system

__Note__: _On Windows systems, unless you are using PowerShell, you may need to replace python3 with `py` or `py3`, assuming you added Python to PYTHONPATH when installed it._

# Credits

## The main developer

Nocturn9x aka IsGiambyy - [Github](https://github.com/nocturn9x) & [Telegram](https://t.me/isgiambyy)

## Contributors

Penn5 - [Github](https://github.com/penn5) & [Telegram](https://t.me/Hackintosh5)
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gesang 1.0.1
A restful api framework with starlette.

# gesang (格桑花)

一款基于starlette和uvicorn的restful风格的框架，[点击进入详细文档](https://gitee.com/flamingo-apps/gesang/wikis/%E9%A1%B9%E7%9B%AE%E4%BB%8B%E7%BB%8D?sort_id=3554319)

## 安装

```
$ pip install gesang
```

## 命令

gesang-admin  [二级命令]  [命令选项]，其中二级命令如下

### startproject
创建一个新的工程

- name 工程名称
- directory 将工程文件夹创建到指定文件夹中，默认是当前文件夹

### startapp
创建一个新的应用

- name 应用名称
- directory 将应用文件夹创建到指定文件夹中，默认是当前文件夹

### runserver
启动一个server服务

- --host 启动主机地址，默认是127.0.0.1
- --port 启动端口，默认是8888
- --enable-log-color 是否启用带有颜色格式的日期，默认是false，设置位true则输出带有颜色的文字（只在console中适用）
- --enable-reload 是否启用重新加载，默认是false，启用后当修改保存文件会触发重启server服务，一般调试时使用
- --factory 是否启用工厂模式启用

使用项目中的manage.py文件启动，即python manage.py runserver [options]

更新日志

- 2021-02-09 安装包名称修改成为gesang
- 2021-02-08 修改只能允许GET方法的问题，修改版本
- 2021-02-08 修改去除fastapi基于starlette，添加view类参数验证功能，修改版本
- 2021-02-05 解决startproject和startapp 没有反应的问题
- 2021-02-04 首次上传
devranker-gui 0.1
dev ranker gui package

# cg
Measuring Developer contribution and productivity

This project aims to measure developer contribution to a project. Measurement of Developer contribution is controversial given the qualitative nature of generating code. Nonetheless, we can get to a good approximation of a developers contribution based on various features like code complexity, bugs identified in a developers code over a period of time, lines of code, Tech Debt etc. The question is can we really get quantitative measures of attributes other than LOC (Lines of code). This project is an attempt to generate numerical values for these attributes of contribution. The resultant numbers can be used:
1. by Developers to understand where they can improve to become more productive.
2. by Proj. and tech Leaders to identify and differentiate between productive and unproductive developers.
3. Open Source communities to encourage promising new members

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gesang-sqlalchemy 1.0.0
A sql orm framework based on sqlalchemy for gesang api framework.

# flamingo-sqlalchemy

#### 介绍
基于flamingo-core的Sqlalchemy的插件

#### 软件架构
软件架构说明

#### 安装教程

```shell
$ pip install gesang-sqlalchemy
```

#### 使用说明

1.  配置在项目的PLUGINS中
    
    ```python
    PLUGINS = [
        "gesang_sqlalchemy:db"
    ]
    ```
    
2.  代码中ORM
    ```python
    from gesang_sqlalchemy import db
    from sqlalchemy import Column, BigInteger, String, Boolean, DateTime
    from datetime import datetime
    
    
    class User(db.Model):
        __tablename__ = "user"
        __bind_key__ = "default"
    
        id = Column(BigInteger, primary_key=True)
        username = Column(String(200), nullable=True, unique=True)
        password = Column(String(200), nullable=False)
        valid = Column(Boolean, nullable=True, default=1)
        create_time = Column(DateTime, default=datetime.now)
        update_time = Column(DateTime, default=datetime.now, onupdate=datetime.now)
    ```
3. 查询使用
   ```python
   from gesang_sqlalchemy import db
   from test.models import User
   
   db.session.query(User).filter(User.valid == 1).all()
   ```
其他SQL详情请见[SQLAlchemy](https://www.osgeo.cn/sqlalchemy/) ，
项目请见[Github地址](https://github.com/sqlalchemy/sqlalchemy)

#### 感谢

- Flask-Sqlalchemy 感谢此插件的共享提供灵感，项目地址[Github地址](https://github.com/pallets/flask-sqlalchemy) 

#### ChangeLog
- 2021-02-09 重命名为gesang-sqlalchemy
- 2021-02-08 初始版本
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pyqmlapp 0.2.1
A Python/QML application framework
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Keywords: qml,developer

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```
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SubHunter 0.0.1
This simple library/package is used to hunt the subdomains of any website.
Requires Python: >=3.6

# SubHunter
This is an amazing yet a simple **subdomain finder** which is used to hunt the subdomains for any website.
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# What is a **Subdomain Finder** ?

### A subdomain finder is a tool which allows you to discover subdomains of a target domain and to determine the attack surface of a target organization. It finds systems which are less protected and more vulnerable to attacks.
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