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jazzband
django-silk
Python2014–2025
jazzband / django-silk

django-silk

Silky smooth profiling for Django

6Distinct people
7Mentions
0Explicit recommenders
5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Silky smooth profiling for Django

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year7 dated mentions

Observed mentions: 2014-06-06 20:36:07 UTC to 2025-10-22 21:26:48 UTC.

01232014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC303
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC110
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

7 sources
In addition to the debug-toolbar, I'd really like people to know about https://github.com/jazzband/django-silk (no affiliation) I just recently found it and it has been amazing. It logs all your requests and responses by default (but is quite configurable) as well as your SQL queries (and how many/how long they take), in an easily searchable database. It can even profile functions for you. Makes it very to see at a glance what pages are slow for people, and why, so they can be optimized accordingly.
In Django 6.0 beta 1 released
https://docs.djangoproject.com/en/5.0/topics/db/sql/ : > Django gives you two ways of performing raw SQL queries: you can use `Manager.raw()` to perform raw queries and return model instances, or you can avoid the model layer entirely and execute custom SQL directly. https://stackoverflow.com/questions/1074212/how-can-i-see-th... has : MyModel.objects.all().query.sql_with_params() str(MyModel.objects.all().query) And: from django.db import connection from myapp.models import SomeModel queryset = SomeModel.objects.filter(foo='bar') sql_query, params = queryset.query.as_sql(None, connection) with connection.connection.cursor(cursor_factory=DictCursor) as cursor: cursor.execute(sql_query, params) data = cursor.fetchall() But that's still not backend-specific SQL? There should be an interface method for this. W
Read the rest
hy does psycopg call it mogrify? https://django-debug-toolbar.readthedocs.io/en/latest/panels... : > debug_toolbar.panels.sql.SQLPanel: SQL queries including time to execute and links to EXPLAIN each query But debug toolbars mostly don't work with APIs. https://github.com/django-query-profiler/django-query-profil... : > Django query profiler - one profiler to rule them all. Shows queries, detects N+1 and gives recommendations on how to resolve them https://github.com/jazzband/django-silk : > Silk is a live profiling and inspection tool for the Django framework. Silk intercepts and stores HTTP requests and database queries before presenting them in a user interface for further inspection
In Show HN: Sqlbind a Python library to compose raw SQL

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