Uvicorn vs Daphne

Side-by-side — pricing, strengths, tradeoffs, and fit.

Uvicorn

Lightning-fast ASGI server using uvloop and httptools.

Daphne

HTTP and WebSocket protocol server for ASGI applications.

At a glance

Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
● Established·From $0

Overview

One-liner

Lightning-fast ASGI server using uvloop and httptools.

One-liner

HTTP and WebSocket protocol server for ASGI applications.

Maturity

Established

Maturity

Established

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Teams building fast, asynchronous web applications with Python frameworks like FastAPI or Starlette
Developers needing a lightweight ASGI server for rapid development and deployment cycles
Projects requiring high performance and low latency in serving HTTP requests

✓ Best for

Teams deploying Django Channels for real-time communication features in their web apps
Projects requiring a high-performance HTTP2 server with WebSocket support
Development teams looking to leverage ASGI for asynchronous Python applications

Not ideal for

✕ Not for

Applications that require real-time streaming capabilities beyond what ASGI can offer
Teams looking for a full-featured web application framework rather than just an ASGI server

✕ Not for

Developers who need a cloud-hosted solution without self-management responsibilities
Teams preferring a simpler setup process over configuring an ASGI-compatible server

Strengths

↑ Strengths

High performance with uvloop and httptools
Built for ASGI applications
Lightweight and easy to integrate
Supports hot reloading for development

↑ Strengths

Supports HTTP, HTTP2, and WebSocket protocols
Designed for ASGI applications
High-performance asynchronous server

Weaknesses

↓ Weaknesses

Limited to ASGI-compatible applications
Requires a deep understanding of ASGI to troubleshoot issues
Documentation lacks comprehensive examples for complex setups

↓ Weaknesses

Limited language support beyond Python
Complex setup for non-ASGI applications
Documentation lacks depth in advanced use cases
Performance issues with large-scale deployments
Full Uvicorn profile →Full Daphne profile →
Uvicorn vs Daphne | AI Navigator