Effortless monitoring and analytics for API frameworks.
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).
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.
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.js is a simple Node.js framework for single, multi-page, and hybrid web applications.
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.
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.