Daphne vs Hypercorn
Side-by-side — pricing, strengths, tradeoffs, and fit.
Daphne
HTTP and WebSocket protocol server for ASGI applications.
Hypercorn
ASGI and WSGI server based on Hyper libraries inspired by Gunicorn.
At a glance
Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
● Established·From $0
Overview
One-liner
One-liner
HTTP and WebSocket protocol server for ASGI applications.
One-liner
ASGI and WSGI server based on Hyper libraries inspired by Gunicorn.
Maturity
Maturity
EstablishedMaturity
EstablishedOpen source
Open source
✓ YesOpen source
✓ YesPricing
Free tier
Free tier
✓ AvailableOpen source — free to use
Free tier
✓ AvailableOpen source — free to use
Starts at
Starts at
$0
Starts at
$0
Model
Model
Flat rate
Model
Flat rate
Enterprise
Enterprise
✕ NoneEnterprise
✕ NoneBest for
✓ 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
✓ Best for
Developers looking to deploy highly performant Python web applications with HTTP/2 support
Teams needing a drop-in replacement for Gunicorn with additional optimizations and features
Not ideal for
✕ 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
✕ Not for
Projects requiring cloud-hosted server solutions
Applications that do not require high concurrency or performance optimization
Strengths
↑ Strengths
Supports HTTP, HTTP2, and WebSocket protocols
Designed for ASGI applications
High-performance asynchronous server
↑ Strengths
High performance ASGI and WSGI server
Based on Hyper libraries for efficient HTTP/2 support
Inspired by Gunicorn, offering similar configuration options
Weaknesses
↓ 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
↓ Weaknesses
Limited documentation and examples
Complex configuration options can be overwhelming
Performance issues under heavy load in certain scenarios
Small and less active community compared to alternatives like Gunicorn