semvec/pypi-packages huggingface dataset:
mycompiler 0.1.0
GUI-based Python EXE compiler using PyInstaller
License: MIT
Requires Python: >=3.7

# 🐍 Driizzyy's Python Compiler

**Driizzyy's Python Compiler** is a powerful, beginner-friendly Python GUI tool that lets you convert `.py` scripts into standalone `.exe` applications with just a few clicks — no coding required.

---

## 🔥 Features

- ✅ Add `.py` source files via GUI
- ✅ Bundle into single `.exe` (PyInstaller `--onefile`)
- ✅ Hide console window (for GUI apps)
- ✅ Choose custom output directory
- ✅ Set custom `.exe` name
- ✅ Set custom icon (`.ico`)
- ✅ Real-time build log viewer
- ✅ No command line needed

---

## 🖥️ GUI Preview

> 🖼️ *(Add screenshot here after first build, optional)*

---

## 🚀 Installation

```bash
pip install driizzyy-compiler
```
deepsentinel-sdk 1.0.0b0
Developer-friendly SDK providing AI compliance middleware for safe LLM interactions with comprehensive audit logging, PII/PHI detection, and performance optimizations
License: MIT
Requires Python: >=3.8
Keywords: ai, audit, compliance, llm, middleware, openai, phi, pii, security

# DeepSentinel Python SDK

The official Python SDK for DeepSentinel - AI compliance middleware for safe LLM interactions.

## Installation

```bash
pip install deepsentinel-sdk
```

## Quick Start

```python
from deepsentinel import SentinelClient

# Initialize the client
client = SentinelClient(
    sentinel_api_key="YOUR_DEEPSENTINEL_API_KEY",
    openai_api_key="YOUR_OPENAI_API_KEY"
)

# Send a compliant request
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello, world!"}]
)

print(response.choices[0].message.content)
```

## Features

- **🛡️ Compliance Checking**: Automatic detection of PII, PHI, and regulatory violations
- **🔄 Multiple Providers**: Support for OpenAI, Anthropic, and other LLM providers
- **📊 Audit Logging**: Comprehensive activity logging for compliance
- **⚡ Performance**: Local detection with smart caching
- **🔌 MCP Support**: Integration with Model Context Protocol
- **🌐 Streaming**: Full support for streaming responses

## Documentation

- [Developer Guide](../docs/developer-guide.md)
- [API Reference](https://deepsentinel-ai.github.io/deepsentinel-python)
- [Examples](../examples/python/)

## Requirements

- Python 3.8+
- API key from DeepSentinel
- API keys from supported LLM providers

## Development

To set up for development:

```bash
# Clone the repository
git clone https://github.com/deepsentinel/deepsentinel-sdk
cd deepsentinel-sdk/python

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest

# Run linting
black .
isort .
flake8 .
mypy .
```

## License

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