Monitoring and analytics for Python API frameworks.
Project description
API Analytics
A lightweight API analytics solution, complete with a dashboard.
Getting Started
1. Generate a new API key
Head to https://my-api-analytics.vercel.app/generate to generate your unique API key with a single click. This key is used to monitor your specific API, so keep it secret! It's also required in order to view your APIs analytics dashboard.
2. Add middleware to your API
Add our lightweight middleware to your API. Almost all processing is handled by our servers so there should be virtually no impact on your APIs performance.
FastAPI
python -m pip install api-analytics
from fastapi import FastAPI
from api_analytics.fastapi import Analytics
app = FastAPI()
app.add_middleware(Analytics, <api_key>)
@app.get("/")
async def root():
return {"message": "Hello World"}
Flask
python -m pip install api-analytics
from flask import Flask
from api_analytics.flask import add_middleware
app = Flask(__name__)
add_middleware(app, <api_key>)
@app.get("/")
def root():
return {"message": "Hello World"}
3. View your analytics
Your API will log requests on all valid routes. Head over to https://my-api-analytics.vercel.app/dashboard and paste in your API key to view your dashboard.
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