fastapi-plugins
E426659
fastapi-plugins is a collection of reusable extensions and utilities designed to enhance and modularize FastAPI applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| fastapi-plugins canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4276861 — 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: fastapi-plugins Context triple: [tiangolo, hostsProject, fastapi-plugins]
-
A.
FastAPI
FastAPI is a modern, high-performance Python framework for building APIs with automatic interactive documentation and type hint–driven validation.
-
B.
Uvicorn
Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
-
C.
Pydantic
Pydantic is a Python library for data validation and settings management that uses type hints to parse, validate, and serialize data.
-
D.
Gunicorn (with ASGI workers)
Gunicorn (with ASGI workers) is a Python WSGI/ASGI HTTP server that can run asynchronous web frameworks like FastAPI in a robust, production-ready environment.
-
E.
Flask
Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
- 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: fastapi-plugins Target entity description: fastapi-plugins is a collection of reusable extensions and utilities designed to enhance and modularize FastAPI applications.
-
A.
FastAPI
FastAPI is a modern, high-performance Python framework for building APIs with automatic interactive documentation and type hint–driven validation.
-
B.
Uvicorn
Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
-
C.
Pydantic
Pydantic is a Python library for data validation and settings management that uses type hints to parse, validate, and serialize data.
-
D.
Gunicorn (with ASGI workers)
Gunicorn (with ASGI workers) is a Python WSGI/ASGI HTTP server that can run asynchronous web frameworks like FastAPI in a robust, production-ready environment.
-
E.
Flask
Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
FastAPI extension collection
ⓘ
Python software library ⓘ |
| category |
FastAPI plugin
ⓘ
web framework plugin ⓘ |
| compatibleWith | ASGI applications ⓘ |
| ecosystem | Python web development ⓘ |
| hostedOn | GitHub NERFINISHED ⓘ |
| implements | FastAPI extension patterns NERFINISHED ⓘ |
| intendedFor | FastAPI developers ⓘ |
| license | MIT License ⓘ |
| programmingLanguage | Python ⓘ |
| provides |
reusable extensions for FastAPI
ⓘ
utilities for FastAPI applications ⓘ |
| purpose |
enhance FastAPI applications
ⓘ
modularize FastAPI applications ⓘ |
| relatedTo |
ASGI
NERFINISHED
ⓘ
FastAPI NERFINISHED ⓘ Python NERFINISHED ⓘ |
| supports |
configuration management for FastAPI apps
ⓘ
dependency injection patterns in FastAPI ⓘ plugin-based architecture for FastAPI ⓘ |
| supportsFramework | FastAPI NERFINISHED ⓘ |
| topic |
backend development
ⓘ
microservices ⓘ web APIs ⓘ |
| usedFor |
building modular FastAPI services
ⓘ
sharing common FastAPI components across projects ⓘ |
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: fastapi-plugins Description of subject: fastapi-plugins is a collection of reusable extensions and utilities designed to enhance and modularize FastAPI applications.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
tiangolo