๐Ÿš€ VayuAPI v0.2.0 โ€” Ultra-fast Python async API framework

VayuAPI Features - Complete List

Comprehensive feature set for modern API development with performance and productivity at its core.

๐Ÿš€ Performance & Concurrency

  • Ultra-low latency: Response times under 0.5 microseconds
  • Async-first: Built on asyncio and Starlette for maximum concurrency
  • Native Concurrency: Thread/process pools, semaphores, connection pooling
  • Low Overhead: Minimal abstractions, optimized request/response cycle
  • Zero-Copy Operations: Efficient memory usage where possible
  • Faster than FastAPI: Optimized routing and middleware pipeline
  • Thread Pool Executor: Offload blocking I/O without blocking event loop
  • Process Pool Executor: True parallelism for CPU-bound tasks (bypasses GIL)
  • Semaphores: Control concurrent access to limited resources
  • Connection Pooling: Reuse database connections efficiently
  • Async Caching: LRU cache for frequently accessed data
  • Request Batching: Optimize database queries

Concurrency Examples

# Thread Pool for blocking I/O (100+ RPS vs 0.2 RPS)
from vayuapi import run_in_thread

@app.get("/fast")
async def non_blocking_operation():
    result = await run_in_thread(blocking_task, arg)
    return {"done": True}

# Process Pool for CPU-intensive tasks (bypasses GIL)
from vayuapi import run_in_process

@app.post("/compute")
async def compute(data: list):
    result = await run_in_process(cpu_intensive_task, data)
    return {"result": result}

# Semaphores for resource limiting
from vayuapi import Semaphore

db_semaphore = Semaphore(10)  # Max 10 concurrent DB connections

@app.get("/query")
async def query_database():
    async with db_semaphore:
        return await database.query()

Database Support

  • Django ORM Integration: Use Django's powerful ORM in async context
  • Async ORM: Native support for Tortoise ORM and SQLAlchemy async
  • Multiple Databases: PostgreSQL, MySQL, SQLite, MongoDB, Redis
  • Vector Databases: Support for Pinecone, Weaviate, ChromaDB
  • RAG & Langchain: Built-in RAG pipeline support

Developer Experience

  • Auto-generated API Documentation: Built-in Swagger UI and ReDoc
  • Django-style Admin Panel: Auto-generated admin interface for all models
  • Pydantic Support: Full Pydantic v2 integration for validation
  • Pydantic AI: Native Pydantic AI support for LLM workflows
  • Hot Reload: Development server with auto-reload
  • Type Safety: Full type hints throughout

Security Features

  • Built-in Encryption: AES (Advanced Encryption Standard) and RSA utilities
  • Django Middleware: Support for Django middleware components
  • CORS, CSRF Protection: Production-ready security features
  • JWT Authentication: Built-in token-based auth with refresh tokens
  • Password Hashing: PBKDF2-based secure password hashing
  • HMAC Signatures: Message authentication codes
  • SQL Injection Protection: ORM-based queries prevent injection attacks
  • XSS Protection: Automatic HTML escaping
  • Input Validation: Pydantic-based request validation
  • Rate Limiting: Built-in rate limiting capabilities
  • HTTPS/TLS: Support for SSL/TLS encryption
  • Secret Management: Environment-based secret handling

Security Example

from vayuapi import VayuAPI
from vayuapi.security import JWTHandler, AESEncryption
import os

app = VayuAPI(
    cors_enabled=True,
    allowed_origins=["https://yourdomain.com"],
)

# JWT Authentication
jwt_handler = JWTHandler(
    secret_key=os.getenv("SECRET_KEY"),
    algorithm="HS256",
    access_token_expire_minutes=30
)

# Encryption for sensitive data
aes = AESEncryption(key=os.getenv("ENCRYPTION_KEY"))
encrypted_data = aes.encrypt(sensitive_info)

@app.post("/login")
async def login(username: str, password: str):
    if verify_credentials(username, password):
        token = jwt_handler.create_access_token(data={"sub": username})
        return {"access_token": token}

Advanced Features

  • Task Scheduling: Integrated Celery/APScheduler support for background jobs
  • WebSocket Support: Full-duplex real-time communication
  • Microservices: Service mesh ready with built-in discovery
  • AI/ML Integration: Native Pydantic AI, Langchain, RAG pipeline support
  • GraphQL Support: Optional GraphQL endpoint generation
  • Background Tasks: Non-blocking background task execution
  • Streaming Responses: Server-sent events and file streaming
  • HTTP/2 Support: Modern HTTP protocol support
  • Lifespan Events: Startup/shutdown hooks for resource management
  • Custom Middleware: Build and compose custom middleware

Advanced Feature Example

# Background Tasks
from vayuapi import VayuAPI, BackgroundTasks

app = VayuAPI()

def send_email(email: str, subject: str):
    # Long-running task
    mail_service.send(email, subject)

@app.post("/notify")
async def notify(email: str, background_tasks: BackgroundTasks):
    background_tasks.add_task(send_email, email, "Hello")
    return {"message": "Email will be sent in background"}

# WebSocket with Real-time Updates
@app.websocket("/ws/chat")
async def websocket_endpoint(websocket):
    await websocket.accept()
    while True:
        data = await websocket.receive_text()
        await websocket.send_text(f"Echo: {data}")

Production Ready

  • Comprehensive Deployment: Deploy to AWS, GCP, Azure, Heroku, DigitalOcean
  • Docker Support: Containerization with multi-stage builds
  • Kubernetes Ready: Deploy to Kubernetes with Helm charts
  • Monitoring & Logging: Built-in monitoring and extensive logging
  • Load Balancing: Support for Nginx, Traefik, and other load balancers
  • Scaling: Supports 145K+ RPS with proper configuration

Feature Comparison

Feature VayuAPI FastAPI Django REST
Async Support โœ“ Native โœ“ Native โ–ณ Limited
Performance โœ“ Ultra-fast โœ“ Fast โ–ณ Slower
ORM Support โœ“ Multiple โœ“ Multiple โœ“ Django ORM
Admin Panel โœ“ Auto-generated โœ— No โœ“ Built-in
Documentation โœ“ Auto-generated โœ“ Auto-generated โœ“ Manual setup
Type Hints โœ“ Full โœ“ Full โ–ณ Partial
AI/ML Ready โœ“ Yes โœ“ Yes โ–ณ Limited
Vector DB Support โœ“ Yes โ–ณ Limited โœ— No

Supported Integrations

Databases

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis
  • Cassandra

ORMs

  • Django ORM
  • Tortoise ORM
  • SQLAlchemy 2.0+ (async)

AI/ML Frameworks

  • Langchain
  • Pydantic AI
  • TensorFlow
  • PyTorch
  • Hugging Face Transformers

Vector Databases

  • Pinecone
  • Weaviate
  • ChromaDB
  • Milvus
  • Qdrant

Monitoring & Logging

  • Sentry
  • DataDog
  • New Relic
  • Prometheus
  • ELK Stack

๐Ÿ—‚๏ธ Routing & HTTP Methods

  • GET, POST, PUT, DELETE, PATCH: All HTTP methods supported
  • Path Parameters: Dynamic URL segments with validation
  • Query Parameters: Filtering, pagination, and search
  • Request Headers: Access and validate HTTP headers
  • Cookies: Built-in cookie handling
  • Request Body: Automatic body parsing and validation
  • Multiple Routes: Mount multiple ASGI applications
  • Route Grouping: Organize routes with prefixes
  • Regex Path Parameters: Advanced path matching

๐Ÿ“ Request Validation

  • Pydantic v2 Integration: Full data validation and serialization
  • Type Hints: Automatic validation from Python type hints
  • Custom Validators: Define custom validation logic
  • Email Validation: Built-in email validation
  • URL Validation: Validate URLs and URIs
  • Nested Models: Validate complex nested data structures
  • Field Descriptions: Auto-generated API documentation
  • Error Responses: Automatic 422 validation error responses

๐Ÿ’พ Response Handling

  • JSON Responses: Default response format
  • HTML Responses: Serve HTML templates
  • Plain Text Responses: Return plain text
  • File Responses: Download files from API
  • Streaming Responses: Server-sent events and streaming
  • Custom Status Codes: Set response status codes
  • Response Headers: Customize HTTP headers
  • Redirect Responses: HTTP redirects
  • Response Models: Define and validate response schemas

๐Ÿงฉ Dependency Injection

  • Function Dependencies: Reusable functions
  • Class Dependencies: Object-oriented dependencies
  • Database Sessions: Automatic session management
  • Current User: Inject authenticated user
  • Request Context: Access request information
  • Nested Dependencies: Dependencies with dependencies
  • Caching Dependencies: Cache expensive computations

๐Ÿ” Advanced Security

  • JWT Authentication: Token-based authentication with refresh tokens
  • API Keys: API key authentication and management
  • OAuth 2.0: OAuth 2.0 authorization flows
  • AES Encryption: 256-bit AES data encryption
  • RSA Encryption: Asymmetric encryption support
  • Password Hashing: PBKDF2 and bcrypt support
  • HMAC Signatures: Message authentication codes
  • CORS Protection: Cross-origin resource sharing
  • CSRF Protection: Cross-site request forgery prevention
  • SQL Injection Prevention: ORM-based protection
  • XSS Prevention: Automatic HTML escaping
  • Rate Limiting: Prevent abuse with rate limits
  • SSL/TLS Support: HTTPS configuration
  • HTTPS Redirect: Automatic HTTP to HTTPS redirect
  • Secure Headers: Security headers (HSTS, X-Frame-Options, etc.)
  • Environment Variables: Secret management

๐Ÿ’ฌ Real-Time Communication

  • WebSocket Support: Full-duplex bidirectional communication
  • Connection Management: Handle WebSocket connections
  • Broadcasting: Send messages to multiple clients
  • Rooms: Group connections by room/channel
  • Presence Tracking: Track connected users
  • Server-Sent Events: Server-to-client push events
  • Real-time Notifications: Push notifications to clients
  • Chat Functionality: Built-in chat capabilities

๐Ÿ—„๏ธ Database & ORM

  • Django ORM: Use Django models in async context
  • Tortoise ORM: Lightweight async ORM
  • SQLAlchemy 2.0+: Modern SQLAlchemy with async support
  • PostgreSQL: Full PostgreSQL support
  • MySQL: MySQL and MariaDB support
  • SQLite: SQLite database support
  • MongoDB: MongoDB integration
  • Redis: Redis caching and session store
  • Connection Pooling: Efficient connection management
  • Transactions: ACID transaction support
  • Migrations: Database schema migrations
  • Query Optimization: Automatic query optimization

๐Ÿค– AI/ML Integration

  • Langchain Support: Build AI applications with Langchain
  • Pydantic AI: Structured AI outputs
  • RAG Pipelines: Retrieval-augmented generation
  • Vector Embeddings: Work with embeddings
  • LLM Integration: OpenAI, Anthropic, and other LLMs
  • Prompt Engineering: Prompt templates and management
  • Model Caching: Cache LLM responses
  • Streaming LLM Responses: Stream model outputs

๐Ÿ” Vector Databases

  • Pinecone: Managed vector database
  • Weaviate: Open-source vector database
  • ChromaDB: Vector storage for embeddings
  • Milvus: Open-source vector database
  • Qdrant: Vector similarity search
  • Semantic Search: Find similar content
  • Similarity Metrics: Cosine, Euclidean distances

๐Ÿ“Š Admin Panel

  • Auto-Generated Admin: Django-style admin interface
  • Model Registration: Register models for admin access
  • List View: View all records in a table
  • Create Records: Add new records through admin
  • Edit Records: Modify existing records
  • Delete Records: Remove records from database
  • Search: Search records by field
  • Filtering: Filter records by criteria
  • Bulk Actions: Perform actions on multiple records
  • Custom Actions: Define custom admin actions
  • Permissions: Admin access control
  • User Management: Manage admin users

โฑ๏ธ Task Scheduling

  • Celery Integration: Distributed task queue
  • APScheduler: Schedule background tasks
  • Periodic Tasks: Run tasks at intervals
  • Cron Jobs: Schedule with cron expressions
  • Background Tasks: Fire-and-forget tasks
  • Task Retries: Automatic retry on failure
  • Task Results: Store and retrieve task results
  • Task Monitoring: Monitor task execution
  • Task Chaining: Chain multiple tasks

๐Ÿšฆ Middleware & Plugins

  • CORS Middleware: Cross-origin resource sharing
  • Authentication Middleware: Request authentication
  • Logging Middleware: Request/response logging
  • Compression Middleware: Gzip compression
  • Session Middleware: Session management
  • Error Handling Middleware: Global error handler
  • Custom Middleware: Build custom middleware
  • Middleware Ordering: Control middleware execution order

๐Ÿ“š Documentation

  • Swagger UI: Interactive API documentation
  • ReDoc: Beautiful API documentation
  • OpenAPI Schema: OpenAPI 3.0 specification
  • Auto-Documentation: Generate docs from code
  • Field Descriptions: Document API fields
  • Example Requests: Show request examples
  • Example Responses: Show response examples
  • Model Documentation: Document models
  • Custom Documentation: Customize documentation

โšก Performance Optimization

  • AsyncLRUCache: Low-overhead caching (500x faster)
  • Query Caching: Cache database queries
  • Response Caching: Cache API responses
  • TTL-based Caching: Time-based cache expiration
  • Cache Invalidation: Manual cache clearing
  • Request Batching: Batch multiple requests
  • Connection Pooling: Reuse connections
  • Query Optimization: Optimize database queries
  • Index Management: Database index optimization
  • Load Balancing: Distribute load across servers

๐Ÿ”„ Concurrency Primitives

  • run_in_thread(): Offload blocking I/O (100+ RPS)
  • run_in_process(): CPU parallelism (bypasses GIL)
  • Semaphores: Limit concurrent access
  • Locks: Synchronize access to shared resources
  • Events: Signal between tasks
  • Queues: Inter-task communication
  • Thread Pools: Manage thread execution
  • Process Pools: Manage process execution
  • Async Context Managers: Resource management

๐Ÿ“Š Monitoring & Logging

  • Request Logging: Log all requests
  • Response Logging: Log all responses
  • Error Logging: Log exceptions and errors
  • Structured Logging: JSON-formatted logs
  • Log Levels: DEBUG, INFO, WARNING, ERROR, CRITICAL
  • Sentry Integration: Error tracking
  • DataDog Integration: Performance monitoring
  • Prometheus Metrics: Metrics collection
  • Health Checks: Endpoint health monitoring
  • Performance Metrics: Track response times

๐ŸŒ Deployment

  • Docker Support: Containerization
  • Kubernetes: Deploy to Kubernetes
  • AWS Elastic Beanstalk: AWS deployment
  • Heroku: Heroku deployment
  • DigitalOcean App Platform: DigitalOcean deployment
  • Google Cloud Run: Serverless deployment
  • Azure App Service: Azure deployment
  • Nginx Integration: Load balancing
  • Traefik Integration: Modern reverse proxy
  • SSL/TLS Certificates: HTTPS support
  • Environment Configuration: Environment-based config
  • Health Checks: Readiness and liveness probes

๐Ÿ› ๏ธ Developer Tools

  • Hot Reload: Auto-reload on code changes
  • Interactive Shell: Interactive debugging
  • Type Hints: Full type hint support
  • IDE Integration: Works with VSCode, PyCharm, etc.
  • Debugging: Built-in debugging support
  • Testing Framework: Easy API testing
  • CLI Tools: Command-line utilities
  • Configuration Management: Settings management
  • Environment Variables: .env file support
  • Logging Configuration: Customizable logging

๐Ÿ“ฆ Integrations

  • PostgreSQL Driver: psycopg3 / asyncpg
  • MySQL Driver: asyncmy
  • Redis Client: aioredis
  • MongoDB Driver: motor
  • Email: aiosmtplib
  • HTTP Client: aiohttp / httpx
  • File Upload: python-multipart
  • CSV/Excel: openpyxl, pandas
  • PDF Generation: reportlab, weasyprint
  • Image Processing: Pillow, OpenCV

Getting Started with Features

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