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Readme
Loosely inspired by Flask
Server:
Create app.py
import aflight
app = aflight.Aflight()
@app.command("predict")
def predict(batch):
result = do_something_with(batch)
return [result]
To Run:
aflight
Client:
from aflight.client import predict
data = some_pandas_data()
print(predict(data))
Current kserve
, torch/serve
etc. APIs are too reliant on HTTP request/response paradigm
Using Arrow as a data format and Arrow Flight as a service API produces a much better interface:
FAQs
Arrow Flight simple API service
We found that aflight demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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