1.3.1. Technology Stack
Python type annotations (available since Python 3.5)
Uvicornis a lightning-fast ASGI server implementation, using
Until recently Python has lacked a minimal low-level server/application interface for asyncio frameworks. The ASGI specification fills this gap, and means we're now able to start building a common set of tooling usable across all asyncio frameworks.
ASGI should help enable an ecosystem of Python web frameworks that are highly competitive against Node and Go in terms of achieving high throughput in IO-bound contexts. It also provides support for HTTP/2 and WebSockets, which cannot be handled by WSGI.
Uvicorn currently supports HTTP/1.1 and WebSockets. Support for HTTP/2 is planned.
Starletteis a lightweight ASGI framework/toolkit, which is ideal for building high performance asyncio services.
It is production-ready, and gives you the following:
Seriously impressive performance.
In-process background tasks.
Startup and shutdown events.
Test client built on requests.
CORS, GZip, Static Files, Streaming responses.
Session and Cookie support.
100% test coverage.
100% type annotated codebase.
Zero hard dependencies.
Data validation and settings management using python type annotations.
pydanticenforces type hints at runtime, and provides user friendly errors when data is invalid.
Define how data should be in pure, canonical python; validate it with pydantic.
So pydantic uses some cool new language features, but why should I actually go and use it?
There's no new schema definition micro-language to learn.
pydantic's BaseSettings class allows pydantic to be used in both a "validate this request data" context and in a "load my system settings" context
In benchmarks pydantic is faster than all other tested libraries
validate complex structures
pydanticallows custom data types to be defined or you can extend validation with methods on a model decorated with the validator decorator.