Uvicorn
E97061
Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Uvicorn canonical | 3 |
| Nginx | 1 |
| UvicornH11Worker | 1 |
| UvicornUVLoopWorker | 1 |
| UvicornWorker | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T816338 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uvicorn Context triple: [FastAPI, compatibleWith, Uvicorn]
-
A.
FastAPI
FastAPI is a modern, high-performance Python framework for building APIs with automatic interactive documentation and type hint–driven validation.
-
B.
Flask
Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
-
C.
Flask
Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
-
D.
Deno
Deno is a modern, secure JavaScript and TypeScript runtime created by Ryan Dahl as a successor to Node.js, featuring built-in TypeScript support and a permission-based security model.
-
E.
Django
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design for building secure, scalable web applications.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uvicorn Target entity description: Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
-
A.
FastAPI
FastAPI is a modern, high-performance Python framework for building APIs with automatic interactive documentation and type hint–driven validation.
-
B.
Flask
Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
-
C.
Flask
Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
-
D.
Rubinius
Rubinius is an alternative Ruby implementation featuring a virtual machine and just-in-time compilation, designed for high performance and concurrency.
-
E.
Deno
Deno is a modern, secure JavaScript and TypeScript runtime created by Ryan Dahl as a successor to Node.js, featuring built-in TypeScript support and a permission-based security model.
- F. None of above. chosen
Statements (58)
| Predicate | Object |
|---|---|
| instanceOf |
ASGI web server
ⓘ
Python software ⓘ web server implementation ⓘ |
| canBeInstalledWith | pip ⓘ |
| designGoal |
async-first architecture
ⓘ
high performance ⓘ low latency ⓘ |
| distributionChannel |
PyPI
ⓘ
linked to:
Python Package Index
|
| hasFeature |
HTTP keep-alive
ⓘ
SSL/TLS support ⓘ WebSocket support ⓘ access logging ⓘ graceful shutdown ⓘ hot-reload in development (reload option) ⓘ lifespan protocol support ⓘ logging configuration ⓘ proxy headers support ⓘ workers management via uvicorn workers for Gunicorn ⓘ |
| implementationLanguage | Python ⓘ |
| isCompatibleWith |
ASGI 3
ⓘ
linked to:
ASGI
|
| isFreeSoftware | true ⓘ |
| isOftenUsedWith |
Django
ⓘ
FastAPI ⓘ Gunicorn ⓘ
linked to:
Gunicorn (with ASGI workers)
Starlette ⓘ |
| isOpenSource | true ⓘ |
| isPartOfEcosystem | Python async web ecosystem ⓘ |
| isUsedFor |
development servers
ⓘ
production deployment ⓘ running Python web APIs ⓘ running async web frameworks ⓘ serving ASGI applications ⓘ serving Django ASGI applications ⓘ serving FastAPI applications ⓘ serving Starlette applications ⓘ |
| license |
BSD 3-Clause License
ⓘ
linked to:
BSD license
|
| programmingLanguage | Python ⓘ |
| repositoryPlatform | GitHub ⓘ |
| softwareGenre |
application server
ⓘ
web server ⓘ |
| supportsDeployment |
Docker-based deployment
ⓘ
Gunicorn via uvicorn workers ⓘ |
| supportsInterface | ASGI ⓘ |
| supportsProgrammingModel |
asynchronous I/O
ⓘ
asyncio ⓘ trio ⓘ |
| supportsProtocol |
HTTP
ⓘ
HTTP/1.1 ⓘ HTTP/2 (via httptools/hypercorn-style integrations, partial or experimental) ⓘ WebSocket ⓘ
linked to:
WebSockets Standard
|
| targetPlatform |
POSIX-compatible operating systems
ⓘ
Windows ⓘ macOS ⓘ |
| typicalCommand | uvicorn app:app ⓘ |
| usesLibrary |
h11 (HTTP/1.1 protocol library)
ⓘ
httptools (optional) ⓘ uvloop (optional) ⓘ websockets (Python websockets library) ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Uvicorn Description of subject: Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Gunicorn (with ASGI workers)
linked to: Uvicorn
subject linked to:
Gunicorn (with ASGI workers)
linked to: Uvicorn
subject linked to:
Gunicorn (with ASGI workers)
linked to: Uvicorn