Api Analytics
Lightweight monitoring and analytics for API frameworks.
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.
- Django
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. It follows the model-view-controller (MVC) architectural pattern, providing an extensive set of built-in tools and conventions to streamline the creation of robust and scalable web applications.
- Express
Express.js is a simple Node.js framework for single, multi-page, and hybrid web applications.
- Flask
Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
- Dashboard
A dashboard style website template is a pre-designed layout that features a user interface resembling a control panel or dashboard. It typically includes charts, graphs, tables, and other data visualization tools that allow users to monitor and analyze data in real-time.
