semvec/pypi-packages huggingface dataset:
textminer-pro-supace-new 0.2.1
불용어 제거, 키워드 추출, 요약, 언어 감지를 제공하는 텍스트 분석 도구
Requires Python: >=3.8

# textminer-pro

자연어 텍스트 처리의 기본 기능을 제공하는 Python 패키지입니다.
## 키워드 추출
from textminer import extract_keywords

text = "Apple is looking at buying a U.K. startup for $1 billion."
keywords = extract_keywords(text, top_n=3)
print(keywords)
['spider-man', 'character', 'movie']

## 언어 감지
from textminer import detect_language

print(detect_language("This is an English sentence."))  # 'en'
print(detect_language("안녕하세요 반갑습니다."))            # 'ko'
print(detect_language(""))                              # '유효한 텍스트를 입력하세요.'

## 텍스트 요약
from textminer import summarize_text

text = '''
Our hub and spoke model sees us headquartered in Utrecht, the Netherlands with specialised operations in key global regions. This allows us to centralise our key functions and strategies while building networks and managing sector and landscape programs where the action is happening.
'''

summary = summarize_text(text, num_sentences=2)
print(summary)
---
textminer-pro-supace 0.2.0
불용어 제거, 키워드 추출, 요약, 언어 감지를 제공하는 텍스트 분석 도구
Requires Python: >=3.8

# textminer-pro

자연어 텍스트 처리의 기본 기능을 제공하는 Python 패키지입니다.
## 키워드 추출
from textminer import extract_keywords

text = "Apple is looking at buying a U.K. startup for $1 billion."
keywords = extract_keywords(text, top_n=3)
print(keywords)
['spider-man', 'character', 'movie']

## 언어 감지
from textminer import detect_language

print(detect_language("This is an English sentence."))  # 'en'
print(detect_language("안녕하세요 반갑습니다."))            # 'ko'
print(detect_language(""))                              # '유효한 텍스트를 입력하세요.'

## 텍스트 요약
from textminer import summarize_text

text = '''
Our hub and spoke model sees us headquartered in Utrecht, the Netherlands with specialised operations in key global regions. This allows us to centralise our key functions and strategies while building networks and managing sector and landscape programs where the action is happening.
'''

summary = summarize_text(text, num_sentences=2)
print(summary)
---
db-query-mcp 0.0.7
db-query-mcp is an MCP tool that enables data querying and export operations across diverse databases. 
Requires Python: >=3.10

![image](logo.png)

![Python Version](https://img.shields.io/badge/python-3.10+-aff.svg)
![License](https://img.shields.io/badge/license-Apache%202-dfd.svg)
[![PyPI](https://img.shields.io/pypi/v/db-query-mcp)](https://pypi.org/project/db-query-mcp/)
[![GitHub pull request](https://img.shields.io/badge/PRs-welcome-blue)](https://github.com/Shulin-Zhang/db-query-mcp/pulls)

[ English | [中文](README_ZH.md) ]

# db-query-mcp

## Introduction
db-query-mcp is a mcp tool supporting diverse database querying and exporting, featuring:

- **Multi-DB Support**: Full compatibility with mainstream databases (ElasticSearch, MySQL, PostgreSQL, Oracle, SQLite, etc.)
- **Secure Access**: Default read-only mode for data protection
- **Smart Query**: Natural language to SQL conversion with query optimization
- **Data Export**: CSV / Json export capabilities
- **Roadmap**: Expanding support for MongoDB and GraphDatabase to become full-stack DB query MCP

## Demo
https://github.com/user-attachments/assets/60771cda-8b52-41bd-90e3-523c836f6366

## Changelog

- 2025-06-02: Added support for ElasticSearch database queries

## Installation

```bash
pip install db-query-mcp
```

ElasticSearch:
```bash
pip install "db-query-mcp[elasticsearch]"
```

Install from GitHub:
```bash
pip install git+https://github.com/NewToolAI/db-query-mcp
```

**MySQL requires additional dependencies:**
```bash
pip install pymysql
```

**PostgreSQL requires additional dependencies:**
```bash
pip install psycopg2-binary
```

**For other databases, install their respective connection packages:**

| Database    | Connection Package       | Example Connection String |
|-------------|--------------------------|---------------------------|
| **SQLite**  | Built-in Python          | `sqlite:///example.db`    |
| **MySQL**   | `pymysql` or `mysql-connector-python` | `mysql+pymysql://user:password@localhost/dbname` |
| **PostgreSQL** | `psycopg2` or `psycopg2-binary` | `postgresql://user:password@localhost:5432/dbname` |
| **Oracle**  | `cx_Oracle`              | `oracle+cx_oracle://user:password@hostname:1521/sidname` |
| **SQL Server** | `pyodbc` or `pymssql` | `mssql+pyodbc://user:password@hostname/dbname` |

## Configuration

**For some clients, only one db-query-mcp server can be enabled at a time.**

```json
{
  "mcpServers": {
      "sqlite_db_mcp": {
        "command": "db-query-mcp",
        "args": [
          "--db",
          "sqlite",
          "--uri", 
          "sqlite:///sqlite_company.db"
        ]
      }
  }
}
```

```json
{
  "mcpServers": {
      "es_db_mcp": {
        "command": "db-query-mcp",
        "args": [
          "--db",
          "elasticsearch",
          "--uri", 
          "https://user:password@localhost:9200?index=test_data_index&ca_certs=/home/user/http_ca.crt"
        ]
      }
  }
}
```
wallpy 2.25.0
Dynamic wallpaper engine to change wallpaper based on time of day and location
Requires Python: <4.0,>=3.9

# Wallpy

A dynamic wallpaper engine that changes your wallpaper based on the time of day and your location.

<p float="left">
  <img src="https://user-images.githubusercontent.com/52672162/190454797-375ca1fa-8864-4aa5-b7d7-b2d689b862df.gif" width="300" />⠀
  <img src="https://user-images.githubusercontent.com/52672162/190465231-2199d54c-72fc-4f69-900a-88d64307f5d1.gif" width="300" />
</p>
<p float="left">
  <img src="https://user-images.githubusercontent.com/52672162/190468715-e7f1a6e8-95b8-4845-8082-9fc7168638b0.gif" width="300" />⠀
  <img src="https://user-images.githubusercontent.com/52672162/190470111-9d209b42-d571-422c-a901-5288056e3c31.gif" width="300" /> 
</p>

## Installation

Wallpy requires Python 3.9 or higher. You can install it using pip:

```bash
pip install wallpy
```

## Quick Start

1. List available wallpaper packs:
```bash
wallpy list
```

2. Install a wallpaper pack:
```bash
wallpy activate [pack_name]
```

3. Install the Wallpy service (runs automatically at startup and updates wallpaper based on time):
```bash
wallpy install
```

## Features

- 🌅 Dynamic wallpapers that change based on time of day
- 📍 Location-aware solar events (sunrise, sunset, etc.)
- 🎨 Support for custom wallpaper packs
- 🌐 Download packs directly from the [gallery](https://wallpy.siphyshu.me/gallery)
- 🔄 Automatic wallpaper updates
- 🪟 Windows support (macOS and Linux coming soon)

## Configuration

Wallpy can be configured using the following commands:

```bash
# View current configuration
wallpy config show

# Set your location (for solar events)
wallpy config location auto

# List all available packs
wallpy pack list

# Install a new pack
wallpy pack activate [pack_name]

# Download a pack from the gallery
wallpy pack download [url]

# Create a new pack (under development)
wallpy pack new [pack_name]
```

## License

MIT License - see [LICENSE](LICENSE) for details.

---
Made with ❤️ by [siphyshu](https://siphyshu.me/)
ytwrap 0.2.5
Python wrapper for the YouTube Data API v3.
Requires Python: >=3.7

# ytwrap

ytwrap is a general-purpose Python wrapper library for the YouTube Data API v3. It allows you to easily retrieve and analyze YouTube video and comment data, and access various YouTube Data API v3 features from Python.

## Features
- Retrieve YouTube video and channel information
- Fetch and analyze comments and replies
- Simple interface for YouTube Data API v3

## Installation
```
pip install ytwrap
```

## Usage Example
```python
import ytwrap

video = ytwrap.YTVideoClient()
comment = ytwrap.YTCommentClient()

# Get latest video
latest = video.get_latest_video('CHANNEL_ID')

# Analyze comments
stats = comment.count_comments_and_replies('VIDEO_ID')
```

## License
MIT
Sorex 0.3.0
By Sor. https://t.me/Tearedeyes
Requires Python: >=3.6
Keywords: ZAmino, ZAmino.fix, aminoapps, ZAminofix, amino, amino-bot

### Telegram
`https://t.me/Tearedeyes`
### About lib
`Fix ZAmino.fix`
### How to install?
`pip install Sor`
### API Reference
[Read the Docs Link](https://aminopy.readthedocs.io/en/latest/)
XQCTmail 0.0.3
一个基于 Python 的自动化临时邮箱工具，支持自动获取、切换、监听临时邮箱的新邮件，适合验证码接收、自动化测试等场景，支持循环监听新邮件。
Requires Python: >=3.10

# 📬 tmail - 22.do 临时邮箱自动化工具

## 📝 项目简介

`tmail` 是一个基于 Python 的自动化临时邮箱工具，支持自动获取、切换、监听临时邮箱的新邮件，适合验证码接收、自动化测试等场景，支持循环监听新邮件。

## ✨ 主要特性
- 🧩 兼容多平台（Windows/Linux/macOS）
- 🚀 自动获取/切换邮箱，支持 Gmail
- 🖥️ 支持交互式命令行体验
- ⏳ 获取邮箱有效期、延长邮箱有效期
- 📥 获取邮件列表、邮件详情
- 🔄 支持循环监听新邮件，动态终端提示
- 🔔 Windows 下新邮件可声音提醒
- 📝 日志系统支持控制台和文件输出
- ⚙️ 支持自定义代理、缓存路径、日志策略等高级参数

## 📒 说明文档 

- [📑 https://blog.csdn.net/xiaoqiangclub/article/details/148557417](https://blog.csdn.net/xiaoqiangclub/article/details/148557417)


## 💬 联系与支持

* 👨‍💻 作者：Xiaoqiang
* 📢 微信公众号：**XiaoqiangClub**
* 📧 反馈与建议请通过邮件联系：**[xiaoqiangclub@hotmail.com](mailto:xiaoqiangclub@hotmail.com)**
* ☕ **请我喝咖啡支持项目发展：**

![请我喝咖啡](https://gitee.com/xiaoqiangclub/xiaoqiangapps/raw/master/images/xiaoqiangclub_ad.png)