Overview:

API Analytics is a free lightweight API analytics solution that provides a dashboard for monitoring and analyzing API usage. It is compatible with various frameworks in different programming languages such as Python (FastAPI, Flask, Django, Tornado), Node.js (Express, Fastify, Koa), Go (Gin, Echo, Fiber, Chi), Rust (Actix, Axum, Rocket), Ruby (Rails, Sinatra).

Features:

Dashboard: Complete with visualizations and statistics to monitor API usage.
API Key Generation: Generate a unique API key with a single click to access the analytics dashboard and data.
Middleware Integration: Add lightweight middleware to your API to enable data logging with minimal impact on performance.
Multiple API Support: Use the same API key across multiple APIs, with data appearing in the same dashboard.
Data Access: View logged data through the dashboard or directly via the data API.
Data Filtering: Filter data by date, IP address, status code, and client location.
API Monitoring: Set up active API monitoring to monitor uptime and response time.
Data Security: All data is stored securely in compliance with GDPR.

Summary:

API Analytics is a free and lightweight solution for monitoring and analyzing API usage. It provides a dashboard with visualizations and statistics and supports various frameworks in programming languages such as Python, Node.js, Go, Rust, and Ruby. The installation involves generating an API key, adding middleware to your API, and accessing the analytics data either through the dashboard or the data API. The solution ensures data security and GDPR compliance.

Tom Draper

Api Analytics

Pldashboard