semvec/pypi-packages huggingface dataset:
zmcp-data-analzyer 0.4.0
sunnychou  zmcp_data_analyzer 
Requires Python: >=3.12

# 数据分析助手


## 本地调试

安装依赖包
```
uv sync
```
启动命令（如下是讲课的时候的目录，同学需要根据自己的实际情况调整）
```
uv --directory /Users/Desktop/coding/zmcp-data-analzyer run main.py
```
## 提示词
分析{需要分析的文件路径}的各个方面，包含文字和图表，将分析结果保存为markdown格式的分析报告，
分析报告保存到{文件保存路径}目录下

## MCP 配置
```
{
   "zmcp-data-analyzer":{
       "command": "uvx",
      "args": ["zmcp-data-analyzer"]
   }
}

```

## 对外分享
三步：  
[01 账号申请](./pypi包上传/01%20账号申请.md)  
[02 上传压缩包到pypi](./pypi包上传/03%20上传压缩包到pypi.md)  
03 测试效果
umanager 0.1.0
Add your description here
Requires Python: >=3.13

使用以下方式进行server 和测试 配置对应测试环境 
uv run pytest -s tests/test_main.py::test_get_id_from_name 
uv run python -m clientz.server 80 --prod

docker-compose build --no-cache

# C语言相关使用方式

## 文本内容
├── CMakeLists.txt
├── LICENSE
├── Readme.md
├── conanfile.txt
└── src
    ├── workspace
        ├── main.cpp
        ├── show.cpp
        └── show.h

## build
cd build
conan install .. -of . --build missing
### 构建Cmake
cmake .. -DCMAKE_TOOLCHAIN_FILE=conan_toolchain.cmake -DCMAKE_BUILD_TYPE=Release# or Debug
wathq-mcp-server 0.1.0
MCP server for Saudi company lookup via WATHQ API
Requires Python: >=3.8
Keywords: mcp, wathq, saudi, company, lookup, api, commercial-registration

# WATHQ MCP Server

MCP server for Saudi company lookup via WATHQ API.

## Install

```bash
pip install wathq-mcp-server
```

## Setup

1. Get API key from [developer.wathq.sa](https://developer.wathq.sa/)
2. Set environment variable:
   ```bash
   export WATHQ_API_KEY="your_api_key"
   ```

## Usage

```bash
wathq-mcp-server
```

## Claude Desktop

```json
{
  "mcpServers": {
    "wathq": {
      "command": "wathq-mcp-server",
      "env": {
        "WATHQ_API_KEY": "your_api_key"
      }
    }
  }
}
```
nonebot-plugin-mhcodes 0.1.1
记录怪物猎人集会码
Requires Python: >=3.10

<div align="center">
    <a href="https://v2.nonebot.dev/store">
    <img src="https://raw.githubusercontent.com/fllesser/nonebot-plugin-template/refs/heads/resource/.docs/NoneBotPlugin.svg" width="310" alt="logo"></a>

## ✨ nonebot-plugin-mhcodes ✨
[![LICENSE](https://img.shields.io/github/license/padoru233/nonebot-plugin-mhcodes.svg)](./LICENSE)
[![pypi](https://img.shields.io/pypi/v/nonebot-plugin-mhcodes.svg)](https://pypi.python.org/pypi/nonebot-plugin-mhcodes)
[![python](https://img.shields.io/badge/python-3.10|3.11|3.12|3.13-blue.svg)](https://www.python.org)
[![uv](https://img.shields.io/badge/package%20manager-uv-black?style=flat-square&logo=uv)](https://github.com/astral-sh/uv)
<br/>
[![ruff](https://img.shields.io/badge/code%20style-ruff-black?style=flat-square&logo=ruff)](https://github.com/astral-sh/ruff)
[![pre-commit](https://results.pre-commit.ci/badge/github/padoru233/nonebot-plugin-mhcodes/master.svg)](https://results.pre-commit.ci/latest/github/padoru233/nonebot-plugin-mhcodes/master)

</div>

## 📖 介绍

怪物猎人集会码插件

## 💿 安装

<details open>
<summary>使用 nb-cli 安装</summary>
在 nonebot2 项目的根目录下打开命令行, 输入以下指令即可安装

    nb plugin install nonebot-plugin-mhcodes --upgrade
使用 **pypi** 源安装

    nb plugin install nonebot-plugin-mhcodes --upgrade -i "https://pypi.org/simple"
使用**清华源**安装

    nb plugin install nonebot-plugin-mhcodes --upgrade -i "https://pypi.tuna.tsinghua.edu.cn/simple"


</details>

<details>
<summary>使用包管理器安装</summary>
在 nonebot2 项目的插件目录下, 打开命令行, 根据你使用的包管理器, 输入相应的安装命令

<details open>
<summary>uv</summary>

    uv add nonebot-plugin-mhcodes
安装仓库 master 分支

    uv add git+https://github.com/padoru233/nonebot-plugin-mhcodes@master
</details>

<details>
<summary>pdm</summary>

    pdm add nonebot-plugin-mhcodes
安装仓库 master 分支

    pdm add git+https://github.com/padoru233/nonebot-plugin-mhcodes@master
</details>
<details>
<summary>poetry</summary>

    poetry add nonebot-plugin-mhcodes
安装仓库 master 分支

    poetry add git+https://github.com/padoru233/nonebot-plugin-mhcodes@master
</details>

打开 nonebot2 项目根目录下的 `pyproject.toml` 文件, 在 `[tool.nonebot]` 部分追加写入

    plugins = ["nonebot_plugin_mhcodes"]

</details>

<details>
<summary>使用 nbr 安装(使用 uv 管理依赖可用)</summary>

[nbr](https://github.com/fllesser/nbr) 是一个基于 uv 的 nb-cli，可以方便地管理 nonebot2

    nbr plugin install nonebot-plugin-mhcodes
使用 **pypi** 源安装

    nbr plugin install nonebot-plugin-mhcodes -i "https://pypi.org/simple"
使用**清华源**安装

    nbr plugin install nonebot-plugin-mhcodes -i "https://pypi.tuna.tsinghua.edu.cn/simple"

</details>


## ⚙️ 配置

无配置

## 🎉 使用
### 指令表
| 指令  | 权限  | 需要@ | 范围  |   说明   |
| :---: | :---: | :---: | :---: | :------: |
| 查看集会码 | 群员  |  否   | 群聊  | 查看当前群组集会码 |
| 添加集会码 [集会码] | 群员  |  否   | 群聊  | 添加集会码 + 集会码 |
| 删除集会码 [集会码] | 群员  |  否   | 群聊  | 删除集会码 + 集会码 |
| 重置集会码 | 群员  |  否   | 群聊  | 重置当前群组集会码 |

每天4点自动重置集会码

### 🎨 效果图
如果有效果图的话
citation-utils 0.5.0
Pattern matching Philippine Supreme Court citations.
Requires Python: >=3.13

# citation-utils

![Github CI](https://github.com/justmars/citation-utils/actions/workflows/ci.yml/badge.svg)

Regex formula of Philippine Supreme Court citations in docket format (with reports); utilized in the [LawSQL dataset](https://lawsql.com).

## Documentation

See [documentation](https://justmars.github.io/citation-utils), building on top of [citation-report](https://justmars.github.io/citation-report).

## Caveats

### DocketCategory

Each `DocketCategory` has its own nuanced regex patterns identifying its _category_, _serial_text_, and _date_

#### Adding new Citation types

Recently, the `JIB` was added as a new category. This means creating a new `CitationConstructor` object with distinct objectts.

#### Adding new DocketRules

There are are `AM` and `BM` docket numbers that represent rules rather than decisions.

### DocketReports

Based on a `CiteableDocument`, construct a temp object prior to formation of `Citation`. This temp object is either:

1. A combination of a `Docket` object with its `Report` object; or
2. A solo, undocketed `Report`.
citation-report 0.2.0
Regex formula of Philippine Supreme Court citations in report format, i.e. SCRA, PHIL, OFFG.
Requires Python: >=3.13

![Github CI](https://github.com/justmars/citation-report/actions/workflows/ci.yml/badge.svg)

# Citation Report Parser

Regex formula of Philippine Supreme Court citations in report format, i.e. SCRA, PHIL, OFFG; utilized in the [LawSQL dataset](https://lawsql.com).

## Documentation

See [documentation](https://justmars.github.io/citation-report), building on top of [citation-date](https://justmars.github.io/citation-date).

## Testing

```sh
uv pip install -e .
pytest
```
undockit 0.0.5
run dockerfiles as commands
Requires Python: >=3.10

# undockit

Run docker containers like they're native commands.


## Setup

Deps:

1. nvidia drivers
2. nvidia-container-toolkit
3. `podman`

Now create a CDI config:

```bash
sudo nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml
```

Then install `undockit` from pypi. You could use pipx or uv, it'll work all
the same:

```bash
pip install undockit
```

## Usage

To install a container as an executable, use the install command:

```bash
undockit install docker.io/bitplanenet/whisper
```

This will add an executable Dockerfile with the undockit runtime as the shebang
into your `~/.local/bin` dir or `$PREFIX`. You can override that location;
see `--help` for details

You can now run it:

```bash
whisper --help
```

## Links

* [🏠 home](https://bitplane.net/dev/python/undockit)
  * [🔧 tools](https://bitplane.net/dev/python/undockit/tools)
  * [📖 pydoc](https://bitplane.net/dev/python/undockit/pydoc)
* [🐱 github](https://github.com/bitplane/undockit)
* [🐍 pypi](https://pypi.org/project/undockit)
pixcompress-rs 0.1.0
Simple image compression tool
Requires Python: >=3.9

# pixcompress

Simple image compression tool that creates compressed copies while keeping originals intact.

## Install

```bash
pip install pixcompress
```

## Usage

Compress any image file:

```bash
pixcompress photo.jpg
# Creates: photo_compressed.jpg

pixcompress image.png --quality 70
# Creates: image_compressed.png with 70% quality

pixcompress large.jpg --max-width 1920 --max-height 1080
# Resizes and compresses to max 1920x1080

pixcompress photo.jpg --output compressed_photo.jpg
# custom output filename
```

## Options

- `--quality, -q`: Compression quality (0-100, default: 85)
- `--max-width`: Maximum width in pixels (0 = no limit)
- `--max-height`: Maximum height in pixels (0 = no limit)  
- `--output, -o`: Custom output filename

## License

MIT
pixcompress-ruskaruma 0.1.0
Simple image compression tool
Requires Python: >=3.9

# pixcompress

Simple image compression tool that creates compressed copies while keeping originals intact.

## Install

```bash
pip install pixcompress
```

## Usage

Compress any image file:

```bash
pixcompress photo.jpg
# Creates: photo_compressed.jpg

pixcompress image.png --quality 70
# Creates: image_compressed.png with 70% quality

pixcompress large.jpg --max-width 1920 --max-height 1080
# Resizes and compresses to max 1920x1080

pixcompress photo.jpg --output compressed_photo.jpg
# custom output filename
```

## Options

- `--quality, -q`: Compression quality (0-100, default: 85)
- `--max-width`: Maximum width in pixels (0 = no limit)
- `--max-height`: Maximum height in pixels (0 = no limit)  
- `--output, -o`: Custom output filename

## License

MIT