jazzband/django-silk
Django Silk
Django Silk is a profiling and inspection toolset for Django applications designed to capture SQL queries, HTTP request data, and execution timing for diagnostics. It functions as a performance profiler and debugging middleware that records runtime execution data to provide a comprehensive overview of application behavior.
The system includes a database profiler for identifying slow operations through detailed timing data and an HTTP request inspector for reviewing headers, bodies, and network traffic via a web interface. It allows for the reproduction of specific server requests through generated replay scripts and provides tools to visualize performance bottlenecks through call path analysis.
The toolset covers broader observability areas including code profiling for specific blocks, database query analysis to identify join counts and bottlenecks, and request interception sampling to reduce performance overhead. It incorporates security mechanisms for interface access control and request data masking to prevent sensitive information from being stored in logs.
The project utilizes relational database persistence to store profiles and includes automatic garbage collection to manage log retention and prevent database bloat.
Features
- Django ORM Backends - Stores all captured profiling records as Django model instances in a relational database.
- Query Execution Wrappers - Wraps Django's database backend to intercept every SQL query, recording its execution time, tables, and stack trace.
- SQL Query Profilers - Analyzes every SQL query executed during a Django request, showing execution time, tables, joins, and stack traces.
- Code Snippet Generators - Generates reusable cURL or Python code snippets from captured HTTP request data for debugging and reproduction.
- Django Performance Profilers - Measures execution time of arbitrary functions or code segments in a Django application by wrapping them in timing instrumentation.
- Django Type Inference Engines - A Django application that captures HTTP requests, SQL queries, and function execution times for performance analysis through a web dashboard.
- Dashboard Access Permissions - Provides a web-based inspection interface accessible only after Django authentication and custom permission checks.
- Function Execution Timing - Measures execution time of specific functions or code segments in a Django app by wrapping them with timing instrumentation for performance tuning.
- Request Interception Middleware - Intercepts each HTTP request and response by inserting a custom middleware into Django's request handling pipeline.
- Function Execution Timers - Measures execution time of arbitrary code segments by applying a Python decorator or context manager that records timing data.
- HTTP Request Replayers - Generates cURL or Python code snippets from captured HTTP requests to reproduce and debug them outside of the running Django application.
- Execution Time Profilers - Measures execution time of arbitrary functions or code segments by wrapping them in timing instrumentation.
- Profiling Data Dashboards - Filtering, sorting, and visualizing collected profiling data such as requests, SQL queries, and execution times through a graphical web interface.
- Request-Level SQL Trace Queries - Tracing every SQL query executed during a Django request, including execution time, tables, and stack traces, to identify slow or duplicated queries.
- Django HTTP Request Recorders - Records incoming HTTP request and response data, including headers, bodies, and timing, for later review.
- Profiling Data Visualizations - Provides a graphical dashboard for filtering, sorting, and inspecting captured profiling data.
- Request Inspection Utilities - Inspects recorded HTTP request and response data in a Django application, with full headers, bodies, and timing details for debugging and performance analysis.
- Administrative Interface Access Controls - Restricts access to the profiling dashboard through authentication and custom permission checks.
- Instrumentation Overhead Trackers - Accounts for profiling overhead by measuring and storing the time the instrumentation itself spends during request processing.
- Debugging - Profiling and inspection tool for Django.
- Performance Profiling - Live profiling and request inspection.
Star history
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