cello-framework 1.0.0

Ultra-fast Rust-powered Python async web framework

Ultra-Fast Python Web Framework
Rust-powered performance with Python simplicity

Installation • Quick Start • Features • Examples • Documentation

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Why Cello?

Cello is an enterprise-grade Python web framework that combines Python's developer experience with Rust's raw performance. All HTTP handling, routing, JSON serialization, and middleware execute in native Rust while Python handles your business logic.

┌─────────────────────────────────────────────────────────────────┐
│  Request → Rust HTTP Engine → Python Handler → Rust Response   │
│                  │                    │                         │
│                  ├─ SIMD JSON         ├─ Return dict            │
│                  ├─ Radix routing     └─ Return Response        │
│                  └─ Middleware (Rust)                           │
└─────────────────────────────────────────────────────────────────┘

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⚡ Performance

Cello is the fastest Python web framework — benchmarked with wrk on the same machine, same worker count, same settings.

Benchmark Results (4 workers, 5 processes each, wrk -t12 -c400 -d10s)

Framework	Server	Req/sec	Avg Latency	p99 Latency	Relative
Cello	Built-in (Rust/Tokio)	170,000+	2.76ms	15.34ms	1.0x (fastest)
BlackSheep + Granian	Granian (Rust)	~92,000	4.31ms	12.63ms	1.9x slower
FastAPI + Granian	Granian (Rust)	~55,000	7.14ms	16.86ms	3.1x slower
Robyn	Built-in (Rust)	~29,000	14.21ms	37.91ms	5.9x slower

How to reproduce: See benchmarks/compare/ for the automated comparison runner. All frameworks use the same JSON endpoint, same process count, and same wrk settings for a fair comparison.

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📦 Installation

pip install cello-framework

From source:

git clone https://github.com/jagadeesh32/cello.git
cd cello
pip install maturin
maturin develop

Requirements: Python 3.12+

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🚀 Quick Start

from cello import App, Response

app = App()

@app.get("/")
def home(request):
    return {"message": "Hello, Cello! 🎸"}

@app.get("/users/{id}")
def get_user(request):
    return {"id": request.params["id"], "name": "John Doe"}

@app.post("/users")
def create_user(request):
    data = request.json()
    return Response.json({"id": 1, **data}, status=201)

if __name__ == "__main__":
    app.run()

python app.py
# 🐍 Cello v1.0.0 server starting at http://127.0.0.1:8000

---

✨ Features

Core Features

Feature	Description
🚀 Blazing Fast	Tokio + Hyper async HTTP engine in pure Rust
📦 SIMD JSON	SIMD-accelerated JSON parsing with simd-json
🛤️ Radix Routing	Ultra-fast route matching with matchit
🔄 Async/Sync	Support for both async def and regular def handlers
🛡️ Middleware	Built-in CORS, logging, compression, rate limiting
📐 Blueprints	Flask-like route grouping and modular apps
🌐 WebSocket	Real-time bidirectional communication
📡 SSE	Server-Sent Events for streaming
📁 Multipart	File uploads and form data handling

Security Features

Feature	Description
🔐 JWT Authentication	JSON Web Token with constant-time validation
🛡️ CSRF Protection	Double-submit cookie and signed token patterns
⏱️ Rate Limiting	Token bucket, sliding window, and adaptive algorithms
🍪 Sessions	Secure cookie-based session management
🔒 Security Headers	CSP, HSTS, X-Frame-Options, Referrer-Policy
🔑 API Key Auth	Header and query parameter authentication

Enterprise Features (v0.7.0+)

Feature	Description
📊 OpenTelemetry	Distributed tracing with W3C Trace Context
🏥 Health Checks	Kubernetes-compatible liveness/readiness probes
🗄️ Database Pooling	Connection pool management with metrics
🔷 GraphQL	GraphQL endpoint with Playground UI
💉 Dependency Injection	Type-safe DI with Singleton/Request/Transient scopes
🛡️ Guards (RBAC)	Role & permission-based access control
📈 Prometheus Metrics	Production-ready metrics at /metrics
🔌 Circuit Breaker	Fault tolerance with automatic recovery

Data Layer Features (v0.8.0)

Feature	Description
🗄️ Enhanced DB Pooling	Async connection pool with health monitoring & reconnection
🔴 Redis Integration	Async Redis client with pool, Pub/Sub, cluster mode
🔄 Transactions	Automatic transaction management with decorator support

API Protocol Features (v0.9.0)

Feature	Description
🔷 GraphQL	Query, Mutation, Subscription decorators with Schema builder
📊 DataLoader	N+1 prevention with automatic batching and caching
🔌 gRPC	Service-based gRPC with unary, streaming, and bidirectional support
📨 Kafka	Consumer/producer decorators with automatic message routing
🐰 RabbitMQ	AMQP messaging with topic exchanges and prefetch control
☁️ SQS/SNS	AWS message queue integration with LocalStack support

Protocol Support

Feature	Description
🔒 TLS/SSL	Native HTTPS with rustls
⚡ HTTP/2	Multiplexed connections with h2
🚀 HTTP/3	QUIC protocol support with quinn
🏭 Cluster Mode	Multi-worker process deployment

---

📘 Examples

Data Layer Features (v0.8.0)

from cello import App, DatabaseConfig, RedisConfig
from cello.database import transactional

app = App()

# Enable database connection pooling
app.enable_database(DatabaseConfig(
    url="postgresql://user:pass@localhost/mydb",
    pool_size=20,
    max_lifetime_secs=1800
))

# Enable Redis connection
app.enable_redis(RedisConfig(
    url="redis://localhost:6379",
    pool_size=10
))

@app.post("/transfer")
@transactional
async def transfer(request):
    # Automatic transaction management
    return {"success": True}

@app.get("/")
def home(request):
    return {"status": "ok", "version": "1.0.0"}

app.run()

API Protocol Features (v0.9.0)

from cello import App, GrpcConfig, KafkaConfig, RabbitMQConfig
from cello.graphql import Query, Mutation, Schema, DataLoader, GraphQL
from cello.grpc import GrpcService, grpc_method, GrpcServer
from cello.messaging import kafka_consumer, kafka_producer, Producer, Consumer

app = App()

# --- GraphQL ---
@Query
def users(info):
    return [{"id": 1, "name": "Alice"}, {"id": 2, "name": "Bob"}]

@Mutation
def create_user(info, name: str, email: str):
    return {"id": 3, "name": name, "email": email}

schema = Schema().query(users).mutation(create_user).build()

# --- gRPC ---
class UserService(GrpcService):
    @grpc_method
    async def get_user(self, request):
        return {"id": request.data.get("id"), "name": "Alice"}

app.enable_grpc(GrpcConfig(port=50051, reflection=True))
app.add_grpc_service("UserService", ["GetUser", "ListUsers"])

# --- Kafka ---
app.enable_messaging(KafkaConfig(brokers="localhost:9092", group_id="my-app"))

@kafka_consumer(topic="user-events", group="processors")
async def handle_user_event(message):
    print(f"Received: {message.text}")

@app.post("/users")
@kafka_producer(topic="user-events")
def create_user_api(request):
    return {"id": 1, "name": request.json().get("name")}

# --- RabbitMQ ---
app.enable_rabbitmq(RabbitMQConfig(url="amqp://localhost:5672"))

@app.get("/")
def home(request):
    return {"status": "ok", "version": "1.0.0", "protocols": ["graphql", "grpc", "kafka", "rabbitmq"]}

app.run()

Enterprise Features (v0.7.0+)

from cello import App, OpenTelemetryConfig, HealthCheckConfig, GraphQLConfig

app = App()

# Enable distributed tracing
app.enable_telemetry(OpenTelemetryConfig(
    service_name="my-api",
    otlp_endpoint="http://collector:4317",
    sampling_rate=0.1
))

# Enable Kubernetes health checks
app.enable_health_checks(HealthCheckConfig(
    base_path="/health",
    include_details=True,
    include_system_info=True
))

# Enable GraphQL with Playground
app.enable_graphql(GraphQLConfig(
    path="/graphql",
    playground=True,
    introspection=True
))

# Enable Prometheus metrics
app.enable_prometheus(endpoint="/metrics")

@app.get("/")
def home(request):
    return {"status": "ok", "version": "1.0.0"}

app.run()

Blueprints (Route Grouping)

from cello import App, Blueprint

api_v1 = Blueprint("/api/v1")

@api_v1.get("/users")
def list_users(request):
    return {"users": [{"id": 1, "name": "Alice"}]}

@api_v1.post("/users")
def create_user(request):
    return Response.json(request.json(), status=201)

app = App()
app.register_blueprint(api_v1)
app.run()

Guards (RBAC)

from cello import App, RateLimitConfig

app = App()

# Role-based access control
@app.add_guard
def require_auth(request):
    return request.headers.get("Authorization") is not None

@app.add_guard
def require_admin(request):
    token = request.headers.get("Authorization", "")
    return "admin" in token

# Rate limiting
app.enable_rate_limit(RateLimitConfig.token_bucket(
    capacity=100,
    refill_rate=10
))

@app.get("/admin")
def admin_panel(request):
    return {"message": "Welcome, Admin!"}

WebSocket

@app.websocket("/ws/chat")
def chat_handler(ws):
    ws.send_text("Welcome to the chat!")

    while True:
        message = ws.recv()
        if message is None:
            break
        ws.send_json({"type": "echo", "content": message.text})

Server-Sent Events

from cello import SseStream

@app.get("/events")
def event_stream(request):
    stream = SseStream()
    stream.add_event("update", '{"count": 42}')
    stream.add_event("notification", '{"message": "New data"}')
    return stream

Response Types

from cello import Response

# JSON (default)
return {"data": "value"}

# Explicit JSON with status
return Response.json({"created": True}, status=201)

# Other response types
return Response.text("Hello, World!")
return Response.html("<h1>Welcome</h1>")
return Response.file("/path/to/document.pdf")
return Response.redirect("/new-location")
return Response.no_content()

---

🏗️ Tech Stack

Component	Technology
Runtime	Tokio (async Rust)
HTTP Server	Hyper 1.x
JSON	simd-json + serde
Routing	matchit (radix tree)
Python Bindings	PyO3
TLS/SSL	rustls
HTTP/2	h2
HTTP/3	quinn (QUIC)
Tracing	OpenTelemetry
Metrics	Prometheus
JWT	jsonwebtoken
gRPC	Custom Rust gRPC engine
GraphQL	Python engine with Rust serialization
Messaging	Kafka, RabbitMQ, SQS adapters

---

🔒 Security

Cello is built with security as a priority:

• ✅ Constant-time comparison for passwords, API keys, and tokens
• ✅ CSRF protection with double-submit cookies and signed tokens
• ✅ Security headers (CSP, HSTS, X-Frame-Options, Referrer-Policy)
• ✅ Rate limiting with multiple algorithms
• ✅ Session security (Secure, HttpOnly, SameSite cookies)
• ✅ Path traversal protection in static file serving
• ✅ JWT blacklisting for token revocation

---

🛠️ Development

# Setup
git clone https://github.com/jagadeesh32/cello.git
cd cello
python -m venv .venv
source .venv/bin/activate
pip install maturin pytest

# Build
maturin develop

# Test
pytest tests/ -v

# Lint
cargo clippy
cargo fmt

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📋 Release History

v1.0.0 — Production-Ready Stable Release (Feb 2026)

• 170,000+ req/s sustained throughput (fastest Python web framework)
• Handler metadata caching, lazy query parsing, zero-copy response building
• TCP_NODELAY, HTTP/1.1 keep-alive and pipeline flush optimization
• Pre-allocated headers, fast-path skip for empty middleware/guards
• Optimized release profile: LTO fat, panic abort, symbol stripping
• API stability guarantee under Semantic Versioning
• 394 tests passing, comprehensive security hardening

v0.10.0 — Event Sourcing, CQRS & Saga Pattern

• Event Sourcing: Aggregate root pattern, event store, snapshot support, event versioning
• CQRS: Command/Query buses, separate read/write models, event-driven sync
• Saga Pattern: Distributed transaction coordination, compensation logic, persistent state, retry with backoff

v0.9.0 — GraphQL, gRPC & Message Queues

• GraphQL: Query, Mutation, Subscription decorators, DataLoader for N+1 prevention, schema introspection
• gRPC: Protocol buffer integration, bidirectional streaming, gRPC-Web, reflection service
• Kafka: Consumer/producer decorators, consumer group management, dead letter queues
• RabbitMQ: AMQP messaging with topic exchanges and prefetch control
• SQS/SNS: AWS message queue integration with LocalStack support

v0.8.0 — Database & Redis Integration

• Enhanced database connection pooling (PostgreSQL, MySQL, SQLite) with health monitoring
• Redis async client with connection pooling, Pub/Sub, and cluster mode
• Query builder with parameterized queries
• Transaction management with @transactional decorator and nested savepoints
• Pool metrics exposed via Prometheus

v0.7.0 — Enterprise Observability

• OpenTelemetry distributed tracing with OTLP export
• Health check endpoints (/health/live, /health/ready, /health/startup)
• Structured JSON logging with trace context injection
• Kubernetes deployment support and Docker multi-stage builds

v0.6.0 — Smart Caching & Validation

• @cache decorator with TTL and tag-based invalidation
• Adaptive rate limiting based on server health metrics
• DTO validation with RFC 7807 Problem Details errors
• Circuit breaker middleware for fault tolerance
• 15% faster JSON parsing, 20% lower memory usage

v0.5.0 — Dependency Injection & RBAC

• Dependency injection via Depends with singleton and transient lifetimes
• Composable guards: RoleGuard, PermissionGuard, AndGuard, OrGuard, NotGuard
• Prometheus metrics endpoint (/metrics)
• OpenAPI 3.0 schema generation with Swagger UI and ReDoc
• Background tasks and Jinja2 template rendering

v0.4.0 — Security & Cluster Mode

• JWT authentication (HS256/384/512, RS256/384/512, ES256/384)
• Rate limiting with token bucket and sliding window algorithms
• Encrypted cookie sessions with automatic rotation
• Security headers: CSP, HSTS, X-Frame-Options, X-Content-Type-Options
• Cluster mode with multi-process workers via SO_REUSEPORT
• Native TLS via rustls (TLS 1.2 and 1.3)

v0.3.0 — Real-Time Communication

• WebSocket support via tokio-tungstenite with full-duplex communication
• Server-Sent Events (SSE) with async generators
• Multipart form handling and file uploads via multer
• Blueprints for modular route organization with nesting

v0.2.0 — Middleware System

• Composable middleware chain execution
• CORS middleware with configurable origins, methods, and headers
• Request/response logging middleware
• Gzip and brotli compression middleware

v0.1.0 — Initial Release

• Rust-powered HTTP server via Hyper and Tokio
• Python route registration with decorators (@app.get, @app.post, etc.)
• Radix tree routing via matchit with path parameters and wildcards
• SIMD-accelerated JSON parsing via simd-json
• Async handler support and static file serving
• PyO3 abi3 bindings for Python 3.12+

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📚 Documentation

Full documentation available at: cello-framework.vercel.app

• 📖 Getting Started
• ✨ Features
• 📘 API Reference
• 🏢 Enterprise Guide
• 📝 Examples

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🤝 Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

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📄 License

MIT License - see LICENSE

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👤 Author

Jagadeesh Katla - @jagadeesh32

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Made with ❤️ using 🐍 Python and 🦀 Rust