Flask-Profiler

Integrates directly into Flask apps with a simple init_app() call and configuration in app.config, automatically tracking endpoints without major code changes, as shown in the quick start example.

Supports multiple databases including SQLite, MongoDB, PostgreSQL, MySQL, and custom engines via configuration, allowing teams to leverage existing infrastructure, detailed in the storage options section.

Provides a visual interface with filtering, endpoint summaries, and detailed request inspection, making performance analysis intuitive, evidenced by the screenshots and dashboard descriptions.

Allows custom sampling functions to reduce overhead in production, such as random sampling or user-based logic, giving control over profiling frequency as explained in the sampling section.