bytedocs-django 0.1.1

Beautiful API documentation for Django - Alternative to Swagger/Scramble

ByteDocs Django

Beautiful API documentation for Django - A modern alternative to Swagger and Scramble.

ByteDocs Django automatically generates interactive API documentation from your Django views and Django REST Framework serializers, with optional AI-powered features.

✨ Features

• 🚀 Zero Configuration - Works out of the box with sensible defaults
• 📝 Auto-Detection - Automatically discovers Django views and DRF ViewSets
• 🎨 Beautiful UI - Modern, responsive interface with 8 color themes
• 🤖 AI-Powered - Optional AI assistant for API queries (OpenAI, Gemini, Claude, OpenRouter)
• 🔧 Try It Out - Interactive API testing directly in the documentation
• 📊 OpenAPI 3.0 - Full OpenAPI specification export (JSON & YAML)
• 🎯 DRF Support - First-class Django REST Framework integration
• 🔐 Authentication - Built-in auth support (Basic, API Key, Bearer, Session)
• 🌍 Multi-Environment - Support for multiple base URLs (dev, staging, prod)
• ⚡ Lightweight - No heavy dependencies, fast performance

📸 Screenshots

🚀 Quick Start

Installation

pip install bytedocs-django

Basic Setup

1. Add to your Django project's urls.py:

from django.urls import path, include
from bytedocs_django import setup_bytedocs

# Setup ByteDocs
bytedocs = setup_bytedocs(config={
    "title": "My API",
    "version": "1.0.0",
    "description": "My awesome API built with Django",
})

urlpatterns = [
    path('admin/', admin.site.urls),
    path('api/', include('your_app.urls')),
    path('docs/', include('bytedocs_django.urls')),
]

# Auto-detect routes
bytedocs.detect_routes()

2. That's it! Visit http://localhost:8000/docs/ to see your documentation.

📚 Documentation

Configuration

ByteDocs supports both programmatic and environment-based configuration.

Programmatic Configuration

from bytedocs_django import setup_bytedocs

bytedocs = setup_bytedocs(config={
    "title": "My API",
    "version": "1.0.0",
    "description": "API Documentation",
    "base_urls": [
        {"name": "Development", "url": "http://localhost:8000"},
        {"name": "Production", "url": "https://api.example.com"},
    ],
    "docs_path": "/docs",
    "ui_config": {
        "theme": "purple",
        "dark_mode": True,
        "show_try_it": True,
        "show_schemas": True,
    },
    "ai_config": {
        "enabled": True,
        "provider": "openai",
        "api_key": "your-api-key",
        "features": {
            "chat_enabled": True,
            "model": "gpt-4o-mini",
            "temperature": 0.7,
        },
    },
})

Environment Variables

Create a .env file:

BYTEDOCS_TITLE=My API
BYTEDOCS_VERSION=1.0.0
BYTEDOCS_DESCRIPTION=API Documentation
BYTEDOCS_BASE_URL=http://localhost:8000

# UI Configuration
BYTEDOCS_UI_THEME=purple
BYTEDOCS_UI_DARK_MODE=true

# AI Configuration
BYTEDOCS_AI_ENABLED=true
BYTEDOCS_AI_PROVIDER=openai
BYTEDOCS_AI_API_KEY=sk-...

Django REST Framework Integration

ByteDocs automatically extracts schema information from DRF serializers:

from rest_framework import viewsets, serializers
from .models import Product

class ProductSerializer(serializers.ModelSerializer):
    """Product serializer with full schema"""
    class Meta:
        model = Product
        fields = ['id', 'name', 'price', 'description']

class ProductViewSet(viewsets.ModelViewSet):
    """
    ViewSet for managing products.

    list:
    Get all products with pagination.

    create:
    Create a new product.
    """
    queryset = Product.objects.all()
    serializer_class = ProductSerializer

ByteDocs will automatically:

• ✅ Extract field types and descriptions
• ✅ Detect required fields
• ✅ Parse docstrings for endpoint descriptions
• ✅ Generate request/response schemas
• ✅ Create interactive examples

Customization

Add Tags

class ProductViewSet(viewsets.ModelViewSet):
    bytedocs_tags = ["Products", "E-commerce"]
    # ...

Custom Schemas

ByteDocs supports:

• Django REST Framework Serializers
• Pydantic models (django-ninja)
• Django model forms
• Dataclasses
• Type hints

AI Features

Enable AI-powered documentation assistant:

BYTEDOCS_AI_ENABLED=true
BYTEDOCS_AI_PROVIDER=openai
BYTEDOCS_AI_API_KEY=your-key-here

Supported providers:

• OpenAI (GPT-4, GPT-3.5)
• Google Gemini (gemini-2.0-flash, gemini-1.5-pro)
• Anthropic Claude (claude-3-5-sonnet, claude-3-opus)
• OpenRouter (access to multiple models)

Features:

• 💬 Chat with AI about your API
• 🔍 Context-aware responses
• 📉 70-80% token savings with optimization
• 🎯 Endpoint-specific queries

Authentication

Protect your documentation with built-in authentication:

BYTEDOCS_AUTH_ENABLED=true
BYTEDOCS_AUTH_TYPE=session
BYTEDOCS_AUTH_PASSWORD=your-secure-password

Supported auth types:

• Session - Password-protected with sessions
• Basic - HTTP Basic authentication
• API Key - Custom header authentication
• Bearer - Bearer token authentication

Themes

Choose from 8 beautiful themes:

• green (default)
• blue
• purple
• red
• orange
• teal
• pink
• auto (system preference)

OpenAPI Export

ByteDocs generates full OpenAPI 3.0 specifications:

• JSON: http://localhost:8000/docs/openapi.json
• YAML: http://localhost:8000/docs/openapi.yaml

Use these files with other tools like Postman, Insomnia, or code generators.

🎯 Use Cases

• API Documentation - Beautiful, interactive documentation for your Django API
• API Testing - Test endpoints directly in the browser
• Team Collaboration - Share documentation with your team
• Client Integration - Help clients understand your API
• OpenAPI Export - Generate OpenAPI specs for other tools

📦 Requirements

• Python 3.8+
• Django 3.2+
• Django REST Framework (optional, for DRF support)
• OpenAI/Gemini/Anthropic API key (optional, for AI features)

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

MIT License - see LICENSE file for details.

💡 Example Projects

Check out the examples/ directory for complete example projects:

• Basic Example - Simple Django + DRF API with ByteDocs
• More examples coming soon!

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Made with ❤️ by the ByteDocs team