semvec/pypi-packages huggingface dataset:
django-blueprint 1.0.0b2
Blueprint is a modular CMS for Django.
License: MIT
Requires Python: >=3.12

# Django Blueprint

[![PyPI version](https://badge.fury.io/py/django-blueprint.svg)](https://badge.fury.io/py/django-blueprint)
[![Python versions](https://img.shields.io/pypi/pyversions/django-blueprint.svg)](https://pypi.org/project/django-blueprint/)
[![Django versions](https://img.shields.io/badge/django-5.0%2B-blue.svg)](https://www.djangoproject.com/)
[![License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)

Common models and fields for adding CMS-like functionality to your Django application.

## 🚀 Quick Start

### Installation

☝️ Django Headless depends on Django.

```bash
pip install django-blueprint
```

### Add to Django Settings

```python
# settings.py
INSTALLED_APPS = [
    'django.contrib.admin',
    'django.contrib.auth',
    'django.contrib.contenttypes',
    'django.contrib.sessions',
    'django.contrib.messages',
    'django.contrib.staticfiles',
    'blueprint',  # Add this
    # ... your apps
]
```

## 🛠️ Requirements

- Python 3.12+
- Django 5.0+

## 🤝 Contributing

We welcome contributions! Here's how to get started:

1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Make your changes
4. Commit your changes (`git commit -m 'Add amazing feature'`)
5. Push to the branch (`git push origin feature/amazing-feature`)
6. Open a Pull Request

## 📚 Documentation

For detailed documentation, visit [djangoheadless.org](https://djangoheadless.org)

## 🐛 Issues & Support

- 🐛 **Bug Reports**: [GitHub Issues](https://github.com/BitsOfAbstraction/django-blueprint/issues)
- 💬 **Discussions**: [GitHub Discussions](https://github.com/BitsOfAbstraction/django-blueprint/discussions)
- 📧 **Email**: leon@devtastic.io

## 📄 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## 🙏 Acknowledgments

- Inspired by the headless CMS and Jamstack movement
- Thanks to all contributors and the Django community

## 🔗 Links

- [PyPI Package](https://pypi.org/project/django-blueprint/)
- [Documentation](https:/djangoheadless.org)
- [GitHub Repository](https://github.com/BitsOfAbstraction/django-blueprint)
- [Changelog](CHANGELOG.md)

---

Made in Europe 🇪🇺 with 💚 for Django
mally-cli 0.7.11
Autonomous coding agent powered by Otonomy
License: MIT
Requires Python: >=3.9
Keywords: ai, coding, agent, autonomous, llm, assistant, otonomy

# Mally

**Autonomous coding agent powered by Claude Opus 4.5**

Zero-config AI assistant that helps you write, debug, and understand code. Just install and run - no API keys needed!

## Quick Start

**macOS/Linux:**
```bash
curl -fsSL https://mally-api.otonomy.ai/install.sh | bash
```

**Windows (PowerShell):**
```powershell
irm https://mally-api.otonomy.ai/install.ps1 | iex
```

**Or with pip:**
```bash
pip install mally
```

Then just run:
```bash
mally
```

That's it! Start chatting with your AI coding assistant.

## Features

- **Zero Config** - Works out of the box, no API keys required
- **Claude Opus 4.5** - Powered by Anthropic's most capable model
- **Full Coding Support** - Read, write, edit files, run commands
- **Web Search** - Search the web and extract content
- **Multi-turn Chat** - Natural conversation with context
- **Session History** - Resume previous conversations

## Usage

```bash
# Start interactive mode
mally

# Start with a task
mally "help me build a REST API"

# Resume last session
mally --continue
```

## Commands

Inside Mally, you can:
- Type your request naturally
- Press `Enter` twice to send (or `Esc` then `Enter`)
- Type `done` or press `Ctrl+C` to exit
- Use `--help` for more options

## Examples

```
You: Create a Python function to calculate fibonacci numbers

You: Find all TODO comments in this project

You: Explain how the authentication works in this codebase

You: Write tests for the user service
```

## Requirements

- Python 3.9+
- macOS, Linux, or Windows

## Optional Features

```bash
# Browser automation
pip install mally-cli[browser]

# Desktop control (screenshots, clicks)
pip install mally-cli[desktop]

# Everything
pip install mally-cli[all]
```

## Advanced: Using Your Own Keys

By default, Mally uses the Otonomy proxy. For your own API keys:

```bash
export USE_DIRECT_API=true
export ANTHROPIC_API_KEY=sk-ant-...
export KIMI_API_KEY=sk-...
mally
```

## Links

- [Documentation](https://docs.otonomy.dev)
- [GitHub](https://github.com/otonomy/mally)
- [Get API Key](https://otonomy.dev)

## License

MIT