# jazzband/django-silk

Silky smooth profiling for Django

Repository: https://github.com/jazzband/django-silk
Canonical: https://ross.abutalabs.com/products/django-silk
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-26T05:59:53+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 85, longevity 100
- inputs: {"age_days": 4487, "days_push": 7, "days_rel": 20, "gap_med": 67.5, "n_releases_24m": 9}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4991, forks 375 (observed 2026-08-28T04:09:04.313992+00:00)

## What it is
django-silk (Silk) is a live profiling and inspection tool for the Django framework. It intercepts and stores HTTP requests and database queries, then presents them in a web UI for performance analysis.

## Use cases
- profile slow Django requests
- inspect SQL queries generated by Django views
- find performance bottlenecks in a Django app
- log and review HTTP request/response bodies during development
- trace execution time of Django middleware and views
- debug N+1 query problems in Django ORM

## When to choose
- you develop Django applications and need request-level profiling
- you want a built-in UI to inspect queries and request data
- you need per-request performance metrics without external APM infrastructure

## When to avoid
- your stack is not Django
- you need production-scale APM with distributed tracing across services
- profiling overhead is unacceptable in high-traffic production environments

## Facets
- artifact type: library
- maturity: active
- function: monitoring, tracing, benchmarking, middleware
- domain: web-development, developer-tools, performance, backend
- platform: python
- tags: django, profiling, request-inspection, sql-query-logging, debugging, web-server

## Member repositories
- jazzband/django-silk (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:04.313992+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:17:39.253615+00:00, confidence not recorded.
  - readme: https://github.com/jazzband/django-silk (fetched 2026-08-28T04:09:04.313992+00:00, sha f6588dca6742)
  - registry_pypi: https://pypi.org/pypi/django-silk/json (fetched 2026-08-29T08:58:38.509807+00:00, sha d8c9aa5cd73f)
- Data as of 2026-08-30T08:39:29.467469+00:00.