Skip to main content

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

api-analytics-1.0.4.tar.gz (40.5 kB view hashes)

Uploaded Source

Built Distribution

api_analytics-1.0.4-py3-none-any.whl (28.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page