Django Silk is a live profiling and inspection tool for the Django framework.
Silk solves the problem of understanding request performance and database behavior during development by intercepting HTTP requests, responses, and SQL queries, then storing them for inspection through a web interface. The tool works by installing middleware that captures request and response data along with associated database queries, allowing developers to examine execution time, query counts, headers, bodies, and stack traces without leaving the browser.
Developers should adopt Silk if they need visibility into request handling and database performance during development. It suits Django projects where understanding query patterns and request timing is valuable for optimization. The tool requires careful middleware ordering, specifically ensuring that GZipMiddleware appears before SilkyMiddleware to avoid encoding errors, and that no preceding middleware returns a response without invoking get_response. Installation is straightforward via pip, with configuration through Django settings and URL routing, and the interface is accessible at /silk/ after running migrations.
The project maintains active support across recent Django and Python versions. Development shows consistent engagement with configuration flexibility, including options for selective request recording, path ignoring, and custom middleware subclassing. The codebase demonstrates attention to practical deployment concerns such as request and response data limiting and the ability to clear logged data.
