Generated by GPT-5-mini| Uvicorn | |
|---|---|
| Name | Uvicorn |
| Developer | Django Software Foundation |
| Released | 2018 |
| Programming language | Python |
| Operating system | Cross-platform |
| License | BSD |
Uvicorn Uvicorn is an asynchronous Python ASGI server implementation that serves high-performance web applications and microservices. It is commonly used alongside frameworks and libraries such as Django, FastAPI, Starlette, Sanic, Tornado, Flask, Quart, Pyramid, Bottle, CherryPy, Falcon, Hug, Morepath, Responder and integrates with networking and deployment ecosystems including Nginx, Gunicorn, Apache HTTP Server, HAProxy, Traefik, Caddy, Envoy, Kong and Istio. Uvicorn's adoption spans projects in organizations like Mozilla, Microsoft, Netflix, Uber Technologies, Pinterest, Spotify, Dropbox, GitHub, Shopify, and research groups at MIT, Stanford University, Harvard University, University of Oxford, University of Cambridge, ETH Zurich, EPFL, Carnegie Mellon University, Princeton University, Caltech.
Uvicorn implements the ASGI specification alongside implementations such as Daphne and Hypercorn, and complements WSGI servers like Waitress and uWSGI. It leverages event-driven I/O primitives provided by asyncio, integrates with third-party concurrency frameworks like uvloop, and interoperates with protocol projects such as HTTP/2, WebSocket, QUIC, gRPC, GraphQL, WebAssembly research initiatives at Cloudflare, Google, Facebook, Apple, IBM, Oracle and standards bodies like IETF and W3C. Uvicorn evolved in the context of asynchronous trends represented by communities around PEP 3333, PEP 333, PEP 432, PEP 492, Python Software Foundation, PyCon, EuroPython, SciPy, DjangoCon, and FastAPI Summit.
Uvicorn's architecture builds on an event loop core such as libuv, often via uvloop, and combines protocol parsing from projects inspired by httptools and h11. It separates concerns between protocol handling and application wiring much like Gunicorn's worker model and borrows design patterns from Node.js's non-blocking I/O. The server interacts with application callable patterns standardized by ASGI and coordinates lifecycle events similar to patterns in Systemd, Supervisor, Docker, Kubernetes, Nomad, Consul and orchestration tools such as Ansible, Puppet, Chef, SaltStack for process management. Uvicorn supports hot-reload workflows familiar to developers using Visual Studio Code, PyCharm, Sublime Text, Vim, Emacs, Atom and continuous integration services like Jenkins, Travis CI, CircleCI, GitLab CI/CD.
Uvicorn provides HTTP/1.1 and WebSocket support with optional HTTP/2 and experimental QUIC extensions, comparable to NGINX Unit and Caddy capabilities. Benchmarks often contrast Uvicorn with servers like Daphne, Hypercorn, Gunicorn, uWSGI, Node.js, Nginx, Apache HTTP Server, Jetty, Tomcat, IIS, Lighttpd, showing strengths in latency and concurrency when paired with uvloop and optimized TLS stacks such as OpenSSL, LibreSSL, BoringSSL. Observability features fit into stacks using Prometheus, Grafana, Datadog, New Relic, Sentry, Zipkin, Jaeger, OpenTelemetry, ELK Stack, and logging integrations with Logstash, Fluentd, Graylog.
Developers deploy Uvicorn in environments orchestrated by Docker, Kubernetes, Amazon Web Services, Microsoft Azure, Google Cloud Platform, Heroku, DigitalOcean, Linode, Vercel, Netlify, Render and platform services like AWS Lambda, Google Cloud Functions, Azure Functions when using adapters. Typical deployment patterns include process supervisors such as systemd, supervisord, pm2, or container runtimes like containerd, CRI-O. Integration with CI/CD pipelines from GitHub Actions, GitLab CI/CD, Jenkins, CircleCI is common; infrastructure as code with Terraform, CloudFormation, Pulumi coordinates scalable rollouts. Security practices reference standards by OWASP, CVE, NIST, and certificate management from Let's Encrypt and ACME integrations.
Uvicorn exposes runtime knobs similar to other servers: worker processes akin to Gunicorn glyphs, logging configuration compatible with Python Software Foundation logging conventions, SSL/TLS parameters leveraging OpenSSL, and HTTP/2 toggles comparable to NGINX directives. Command-line tooling is used alongside process managers and container entrypoints; runtime environment variables from POSIX shells, systemd units, Docker Compose files, and Kubernetes manifests control behavior. Load balancing strategies align with solutions like HAProxy, NGINX, and service meshes such as Istio and Linkerd; observability hooks integrate with Prometheus exporters and OpenTelemetry collectors.
Uvicorn's ecosystem includes community projects and tooling like FastAPI, Starlette, Django Channels, Channels, ASGI, asgiref, httptools, uvloop, h11, h2, trio, curio, Quart, Sanic, Hypercorn, Daphne, Gunicorn, uvicorn-gunicorn-fastapi-docker, and CI templates for GitHub Actions and GitLab. Contributions and discussions occur on platforms like GitHub, GitLab, Gitter, Discord, Stack Overflow, Reddit, Hacker News, and community events including PyCon, EuroPython, DjangoCon, ISC and meetups organized by groups such as Python Software Foundation, Open Source Initiative, Apache Software Foundation, Linux Foundation. The project interrelates with commercial vendors and research labs at Google, Facebook, Microsoft Research, IBM Research, Amazon Research, and university labs advancing asynchronous programming models.
Category:Python web servers