FastAPI framework, high performance, easy to learn, fast to code, ready for production
Documentation: https://fastapi.tiangolo.com
Source Code: https://github.com/tiangolo/fastapi
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
The key features are:
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Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). One of the fastest Python frameworks available.
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Fast to code: Increase the speed to develop features by about 200% to 300%. *
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Fewer bugs: Reduce about 40% of human (developer) induced errors. *
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Intuitive: Great editor support. Completion everywhere. Less time debugging.
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Easy: Designed to be easy to use and learn. Less time reading docs.
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Short: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.
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Robust: Get production-ready code. With automatic interactive documentation.
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Standards-based: Based on (and fully compatible with) the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema.
* estimation based on tests on an internal development team, building production applications.
"[...] I'm using FastAPI a ton these days. [...] I'm actually planning to use it for all of my team's ML services at Microsoft. Some of them are getting integrated into the core Windows product and some Office products."
"We adopted the FastAPI library to spawn a REST server that can be queried to obtain predictions. [for Ludwig]"
"Netflix is pleased to announce the open-source release of our crisis management orchestration framework: Dispatch! [built with FastAPI]"
"I’m over the moon excited about FastAPI. It’s so fun!"
"Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted Hug to be - it's really inspiring to see someone build that."
"If you're looking to learn one modern framework for building REST APIs, check out FastAPI [...] It's fast, easy to use and easy to learn [...]"
"We've switched over to FastAPI for our APIs [...] I think you'll like it [...]"
If you are building a CLI app to be used in the terminal instead of a web API, check out Typer.
Typer is FastAPI's little sibling. And it's intended to be the FastAPI of CLIs. ⌨️ 🚀
Python 3.6+
FastAPI stands on the shoulders of giants:
$ pip install fastapi
---> 100%You will also need an ASGI server, for production such as Uvicorn or Hypercorn.
$ pip install uvicorn[standard]
---> 100%- Create a file
main.pywith:
from typing import Optional
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
def read_root():
return {"Hello": "World"}
@app.get("/items/{item_id}")
def read_item(item_id: int, q: Optional[str] = None):
return {"item_id": item_id, "q": q}Or use async def...
If your code uses async / await, use async def:
from typing import Optional
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
async def read_root():
return {"Hello": "World"}
@app.get("/items/{item_id}")
async def read_item(item_id: int, q: Optional[str] = None):
return {"item_id": item_id, "q": q}Note:
If you don't know, check the "In a hurry?" section about async and await in the docs.
Run the server with:
$ uvicorn main:app --reload
INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO: Started reloader process [28720]
INFO: Started server process [28722]
INFO: Waiting for application startup.
INFO: Application startup complete.About the command uvicorn main:app --reload...
The command uvicorn main:app refers to:
main: the filemain.py(the Python "module").app: the object created inside ofmain.pywith the lineapp = FastAPI().--reload: make the server restart after code changes. Only do this for development.
Open your browser at http://127.0.0.1:8000/items/5?q=somequery.
You will see the JSON response as:
{"item_id": 5, "q": "somequery"}You already created an API that:
- Receives HTTP requests in the paths
/and/items/{item_id}. - Both paths take
GEToperations (also known as HTTP methods). - The path
/items/{item_id}has a path parameteritem_idthat should be anint. - The path
/items/{item_id}has an optionalstrquery parameterq.
Now go to http://127.0.0.1:8000/docs.
You will see the automatic interactive API documentation (provided by Swagger UI):
And now, go to http://127.0.0.1:8000/redoc.
You will see the alternative automatic documentation (provided by ReDoc):
Now modify the file main.py to receive a body from a PUT request.
Declare the body using standard Python types, thanks to Pydantic.
from typing import Optional
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
price: float
is_offer: Optional[bool] = None
@app.get("/")
def read_root():
return {"Hello": "World"}
@app.get("/items/{item_id}")
def read_item(item_id: int, q: Optional[str] = None):
return {"item_id": item_id, "q": q}
@app.put("/items/{item_id}")
def update_item(item_id: int, item: Item):
return {"item_name": item.name, "item_id": item_id}The server should reload automatically (because you added --reload to the uvicorn command above).
Now go to http://127.0.0.1:8000/docs.
- The interactive API documentation will be automatically updated, including the new body:
- Click on the button "Try it out", it allows you to fill the parameters and directly interact with the API:
- Then click on the "Execute" button, the user interface will communicate with your API, send the parameters, get the results and show them on the screen:
And now, go to http://127.0.0.1:8000/redoc.
- The alternative documentation will also reflect the new query parameter and body:
In summary, you declare once the types of parameters, body, etc. as function parameters.
You do that with standard modern Python types.
You don't have to learn a new syntax, the methods or classes of a specific library, etc.
Just standard Python 3.6+.
For example, for an int:
item_id: intor for a more complex Item model:
item: Item...and with that single declaration you get:
- Editor support, including:
- Completion.
- Type checks.
- Validation of data:
- Automatic and clear errors when the data is invalid.
- Validation even for deeply nested JSON objects.
- Conversion of input data: coming from the network to Python data and types. Reading from:
- JSON.
- Path parameters.
- Query parameters.
- Cookies.
- Headers.
- Forms.
- Files.
- Conversion of output data: converting from Python data and types to network data (as JSON):
- Convert Python types (
str,int,float,bool,list, etc). datetimeobjects.UUIDobjects.- Database models.
- ...and many more.
- Convert Python types (
- Automatic interactive API documentation, including 2 alternative user interfaces:
- Swagger UI.
- ReDoc.
Coming back to the previous code example, FastAPI will:
- Validate that there is an
item_idin the path forGETandPUTrequests. - Validate that the
item_idis of typeintforGETandPUTrequests.- If it is not, the client will see a useful, clear error.
- Check if there is an optional query parameter named
q(as inhttp://127.0.0.1:8000/items/foo?q=somequery) forGETrequests.- As the
qparameter is declared with= None, it is optional. - Without the
Noneit would be required (as is the body in the case withPUT).
- As the
- For
PUTrequests to/items/{item_id}, Read the body as JSON:- Check that it has a required attribute
namethat should be astr. - Check that it has a required attribute
pricethat has to be afloat. - Check that it has an optional attribute
is_offer, that should be abool, if present. - All this would also work for deeply nested JSON objects.
- Check that it has a required attribute
- Convert from and to JSON automatically.
- Document everything with OpenAPI, that can be used by:
- Interactive documentation systems.
- Automatic client code generation systems, for many languages.
- Provide 2 interactive documentation web interfaces directly.
We just scratched the surface, but you already get the idea of how it all works.
Try changing the line with:
return {"item_name": item.name, "item_id": item_id}...from:
... "item_name": item.name ......to:
... "item_price": item.price ......and see how your editor will auto-complete the attributes and know their types:
For a more complete example including more features, see the Tutorial - User Guide.
Spoiler alert: the tutorial - user guide includes:
- Declaration of parameters from other different places as: headers, cookies, form fields and files.
- How to set validation constraints as
maximum_lengthorregex. - A very powerful and easy to use Dependency Injection system.
- Security and authentication, including support for OAuth2 with JWT tokens and HTTP Basic auth.
- More advanced (but equally easy) techniques for declaring deeply nested JSON models (thanks to Pydantic).
- Many extra features (thanks to Starlette) as:
- WebSockets
- GraphQL
- extremely easy tests based on
requestsandpytest - CORS
- Cookie Sessions
- ...and more.
Independent TechEmpower benchmarks show FastAPI applications running under Uvicorn as one of the fastest Python frameworks available, only below Starlette and Uvicorn themselves (used internally by FastAPI). (*)
To understand more about it, see the section Benchmarks.
Used by Pydantic:
ujson- for faster JSON "parsing".email_validator- for email validation.
Used by Starlette:
requests- Required if you want to use theTestClient.aiofiles- Required if you want to useFileResponseorStaticFiles.jinja2- Required if you want to use the default template configuration.python-multipart- Required if you want to support form "parsing", withrequest.form().itsdangerous- Required forSessionMiddlewaresupport.pyyaml- Required for Starlette'sSchemaGeneratorsupport (you probably don't need it with FastAPI).graphene- Required forGraphQLAppsupport.ujson- Required if you want to useUJSONResponse.
Used by FastAPI / Starlette:
uvicorn- for the server that loads and serves your application.orjson- Required if you want to useORJSONResponse.
You can install all of these with pip install fastapi[all].
This project is licensed under the terms of the MIT license.