semvec/pypi-packages huggingface dataset:
win-depends 0.1.4
A tool to analyze Windows DLL/EXE dependencies
License: MIT
Requires Python: >=3.6

# win\_depends

🧩 **win\_depends** is a lightweight tool to analyze DLL and EXE dependencies on Windows. It supports recursive dependency resolution, detection of missing or unused files, and exports to DOT graph format.

---

## 📦 Installation

```bash
pip install win_depends
```

---

## 🚀 Usage Example

Run the tool in a directory containing `.dll` and `.exe` files:

```bash
win_depends
```

You can also specify a path to a file or directory:

```bash
win_depends ./path/to/myapp.exe
win_depends ./build/bin/
```

Optional flags can customize the output, such as displaying a dependency tree:

````bash
win_depends ./build/bin --tree
```bash
win_depends
````

Optional flags can customize the output, such as displaying a dependency tree:

```bash
win_depends --tree
```

---

## 🔍 Features

* ✅ Analyze imports between `.dll` and `.exe` files, including delayed and bound imports
* ✅ Parallel dependency analysis for faster performance
* ✅ Optional detection of system DLLs via `--detect-system`
* ✅ Detect missing dependent files
* ✅ Detect unused files in directory
* ✅ Tree-style output of dependencies
* ✅ Export to DOT format for graph visualization

---

## 🧪 Sample Output

```bash
$ win_depends ./demo.exe --tree

└── demo.exe
    ├── user32.dll ❌
    ├── plugin.dll
    │   └── helper.dll
    └── kernel32.dll ❌

Missing dependencies:
  user32.dll
  kernel32.dll
```
vnpy-akshare-adapter 1.0.0
AKShare数据服务接口 - VeighNa框架的数据接口适配
License: MIT
Requires Python: >=3.10
Keywords: vnpy, quant, akshare, trading, investment

# VeighNa框架的AKShare数据服务接口

<p align="center">
  <img src ="https://vnpy.oss-cn-shanghai.aliyuncs.com/vnpy-logo.png"/>
</p>

<p align="center">
    <img src ="https://img.shields.io/badge/version-3.9.2.0-blueviolet.svg"/>
    <img src ="https://img.shields.io/badge/platform-windows|linux|macos-yellow.svg"/>
    <img src ="https://img.shields.io/badge/python-3.7|3.8|3.9|3.10-blue.svg"/>
    <img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>

## 说明

基于akshare开发，支持以下中国金融市场的K线数据：

* 期货：
  * CFFEX：中国金融期货交易所
  * SHFE：上海期货交易所
  * DCE：大连商品交易所
  * CZCE：郑州商品交易所
  * INE：上海国际能源交易中心
* 股票：
  * SSE：上海证券交易所
  * SZSE：深圳证券交易所
  * BSE: 北京证券交易所
* 基金：需要使用修改版[**akshare**](https://github.com/lstwzd/akshare)
  * SSE：上海证券交易所
  * SZSE：深圳证券交易所
  
## 数据使用事项

1. 主要支持A股数据，不支持期货数据
2. 支持基金数据，但需要采用安装修改版[**akshare**](https://github.com/lstwzd/akshare)
3. 支持日线级别数据，tick级别不支持
4. akshare数据源采用证券网站抓取，影响可能存在较慢的问题。

## 安装

安装环境推荐基于3.0.0版本以上的【[**VeighNa Studio**](https://www.vnpy.com)】。

直接使用pip命令：

```
pip install vnpy_akshare_adapter
```


或者下载源代码后，解压后在cmd中运行：

```
pip install .
```


## 使用

在VeighNa中使用AkShare时，需要在全局配置中填写以下字段信息：

|名称|含义|必填|举例|
|---------|----|---|---|
|datafeed.name|名称|是|akshare|
|datafeed.username|用户名|否|token|
|datafeed.password|密码|否|token|