semvec/pypi-packages huggingface dataset:
live-markdown 0.1.1
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Requires Python: >=3.8

# live-markdown
live-markdown is a lightweight Python utility designed to render a continuous stream of Markdown content directly in your terminal. Whether you're piping output from an LLM, monitoring log files, or building an interactive CLI, live-markdown ensures your docs look beautiful in real-time.

# ✨ Features
- Real-time Rendering: Handles incoming data chunks without flickering.
- Code Highlighting: Syntax highlighting for over 100 languages.
- Pipe-friendly: Works seamlessly with stdin.
- Beautiful color palette.

## Usage
`pip install live-markdown`

## Usage with python llm library
`llm "tell me about the world" | lm`
iflow-mcp_pingcy_app_chatppt 0.1.0
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Requires Python: >=3.11

# ChatPPT-MCP:  多文档RAG引擎的 MCP Server

一个基于MCP（Model Context Protocol）的多文档RAG（Retrieval-Augmented Generation）引擎应用，支持PPT文档的智能问答和分析。

## 功能特性

- 🔍 **多文档处理**: 支持索引多个PPT文档，基于视觉模型
- 🤖 **智能问答**: 基于RAG技术的文档问答
- 🔄 **MCP集成**: 使用Model Context Protocol进行工具调用
- 📊 **交互式测试**: 提供命令行交互测试界面

## 技术栈

- **后端框架**: FastAPI
- **向量数据库**: ChromaDB
- **LLM**: Doubao Vision
- **文档处理**: LibreOffice, pypdfium2
- **协议**: Model Context Protocol (MCP)
- **向量化**: OpenAI Embeddings

## 安装使用

### 1. 安装依赖

```bash
pip install -e .
```

### 2. 环境配置

复制环境变量模板文件，并修改：

```bash
cp .env.example .env
```

### 3. 运行应用

#### RAG引擎测试模式

```bash
python rag_interactive_test.py
```

#### MCP测试模式(先sse启动：python mcp_ppt_server.py --transport sse)

```bash
python mcp_interactive_test.py
```

## 项目结构

```
app_chatppt/
├── src/                        # 源代码目录
│   ├── multi_doc_rag_engine.py # RAG引擎核心
│   ├── document_processor.py   # 文档处理器
│   └── ...
├── data/                       # 示例数据
├── rag_interactive_test.py     # 交互式测试入口
├── mcp_interactive_test.py     # MCP集成测试
├── pyproject.toml              # 项目配置
├── .env.example                # 环境变量模板
└── README.md                   # 项目文档
```

## 许可证

MIT License
iflow-mcp_kukapay_cryptopanic-mcp-server 0.1.3
Provide the latest cryptocurrency news for AI agents.
Requires Python: >=3.13

<a href="https://glama.ai/mcp/servers/dp6kztv7yx">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/dp6kztv7yx/badge" alt="cryptopanic-mcp-server MCP server" />
</a>

# cryptopanic-mcp-server

Provide the latest cryptocurrency news to AI agents, powered by [CryptoPanic](https://cryptopanic.com/).

[![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
[![Node.js](https://img.shields.io/badge/Node.js-18.x-green.svg)](https://nodejs.org/)
![Status](https://img.shields.io/badge/status-active-brightgreen.svg)

*Try [Kukapay News MCP](https://github.com/kukapay/kukapay-news-mcp) — no API key required, fully AI-annotated*.

## Tools

The server implements only one tool: 

```python
get_crypto_news(kind: str = "news", num_pages: int = 1) -> str
```
- `kind`: Content type (news, media)
- `num_pages`: Number of pages to fetch (default: 1, max: 10)

Example Output: 

```
- Bitcoin Breaks $60k Resistance Amid ETF Optimism
- Ethereum Layer 2 Solutions Gain Traction
- New Crypto Regulations Proposed in EU
- ...
```


## Configuration

- CryptoPanic API key & API plan: get one [here](https://cryptopanic.com/developers/api/)
- Add a server entry to your configuration file:

```
"mcpServers": { 
  "cryptopanic-mcp-server": { 
    "command": "uv", 
    "args": [ 
      "--directory", 
      "/your/path/to/cryptopanic-mcp-server", 
      "run", 
      "main.py" 
    ], 
    "env": { 
      "CRYPTOPANIC_API_PLAN": "your_api_plan",
      "CRYPTOPANIC_API_KEY": "your_api_key" 
    } 
  } 
}
```

- Replace `/your/path/to/cryptopanic-mcp-server` with your actual installation path.
- Replace `CRYPTOPANIC_API_PLAN` and `CRYPTOPANIC_API_KEY` with your API plan and key from CryptoPanic. 

## License

MIT License - see `LICENSE` file
SpiralMap 0.27
Python Library of Milky Way's Spiral Arms
Requires Python: >=3.9

# SpiralMap 
A Python library of the Milky Way's spiral arms. 

[![pypi status](https://img.shields.io/pypi/v/spiralmap.svg?logo=pypi&logoColor=white&label=PyPI)](https://pypi.org/project/SpiralMap/)
[![Documentation Status](https://app.readthedocs.org/projects/spiralmap/badge/?version=latest)](https://spiralmap.readthedocs.io/en/latest/?badge=latest)

The detailed documentation is hosted on [Read the docs](https://spiralmap.readthedocs.io/en/latest/#api-docs).

For a quickstart please refer to the accompanying [Jupyter notebook](https://github.com/Abhaypru/SpiralMap/blob/main/demo_spiralmap.ipynb).

Read the preprint at [arxiv](https://www.arxiv.org/abs/2506.11383).
## Features
+ Access 9 independent spiral arm models from literature. We are open to requests for including other spiral arm models. 
+ Extract the 2D trace of individual or all spiral arms from a particular model.
+ Directly overplot spiral arms with choice of Cartesian or Polar coordinates, and in Heliocentric or Galactocentric frames.

## Updates
+ Missing Local arm (logarithmic) added to Hou-Han 2014 model.
+ Vallee 1995 model included. 
+ Dependencies included

Installation
-------------

Install the latest released version using ``pip``:

```
   pip install SpiralMap
```

Acknowledging ``SpiralMap``
---------------------------------------
If you make use of our package, please cite the accompanying paper. 

Additionally, please also cite the individual spiral model used. To facilitate this, we provide a BibTex file with the relevant citations in 'datafiles/spiral.bib' (on GitHub),
or alternatively these are also available on [Read the docs](https://spiralmap.readthedocs.io/en/latest/#api-docs).