$npx skillfedfor your agent

django-debug-toolbar

A configurable set of panels that display various debug information about the current request/response.

Worth itPyPI Python ModulesReleased Aug 20269.0M downloads / moBSD-3-ClausePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — django_debug_toolbar-7.1.1-py3-none-any.whl
v7.1.1 · released 2026-08-14 · Python >=3.10 · 2 runtime deps: django, sqlparse

Yes. This is a standard, low-friction development tool for Django projects. It has no security vulnerabilities, permissive licensing, minimal dependencies, and active maintenance. Install it in your development environment to gain visibility into request handling, SQL queries, and performance without modifying application code.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Django ≥ 5.2.0 and Python ≥ 3.10.
  • Only intended for development (DEBUG=True); do not deploy to production.
  • Low friction installation with only two runtime dependencies (django and sqlparse).

License · maintenance · safety

BSD-3-Clause (permissive) — Released under BSD-3-Clause, a permissive open-source license. You can use, modify, and distribute this package freely in both commercial and private projects with minimal restrictions.

last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 8,377 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 9,003,980 downloads/mo, #1,568 on PyPI

Verify before relying

pip install django-debug-toolbar

# In Django settings.py:
INSTALLED_APPS = [
    'debug_toolbar',
    # ...
]

MIDDLEWARE = [
    'debug_toolbar.middleware.DebugToolbarMiddleware',
    # ...
]

# In urls.py:
if DEBUG:
    urlpatterns += [
        path('__debug__/', include('debug_toolbar.urls')),
    ]
  • Extent of third-party panel ecosystem and how to discover/install community-contributed panels.
  • Performance impact of running the toolbar on development server response times.
  • Current state of async view support beyond 'experimental' label and whether concurrent request handling has been added.
Same gist for agents: .md · .json

What it is and what it does

Django Debug Toolbar is a browser-injected debugging interface for Django applications that displays configurable panels showing request/response metadata, SQL queries, cache behavior, and other diagnostic information. It runs only during development when DEBUG is enabled and appears as an overlay in the browser, allowing developers to inspect details about each HTTP request without leaving the application.

The toolbar is built as a Django middleware and URL configuration that intercepts requests and collects telemetry. It depends on django and sqlparse for SQL query formatting. The package is production-stable (version 7.1.1), actively maintained, and supports current Django versions (5.2, 6.0, 6.1) and Python 3.10 through 3.14. It has experimental support for Django's async views but does not yet handle concurrent requests.

Use it for

  • Inspect SQL queries executed during a request to identify N+1 problems and optimize database access.
  • Debug template rendering, context variables, and view execution flow during development.
  • Profile request/response timing and middleware execution to find performance bottlenecks.
  • Monitor cache hits/misses and HTTP header behavior during development iteration.
  • Examine signal dispatch and form validation errors in real time without adding print statements.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

This is a standard, low-friction development tool for Django projects. It has no security vulnerabilities, permissive licensing, minimal dependencies, and active maintenance. Install it in your development environment to gain visibility into request handling, SQL queries, and performance without modifying application code.

Install

django-debug-toolbar on PyPI

Before you install

Low friction installation with only two runtime dependencies (django and sqlparse). The package is actively maintained with a recent release and 8377 repository stars, indicating stable, community-backed development.

Requires Django ≥ 5.2.0 and Python ≥ 3.10. Only intended for development (DEBUG=True); do not deploy to production.

License in practice

Released under BSD-3-Clause, a permissive open-source license. You can use, modify, and distribute this package freely in both commercial and private projects with minimal restrictions.

Quickstart

pip install django-debug-toolbar

# In Django settings.py:
INSTALLED_APPS = [
    'debug_toolbar',
    # ...
]

MIDDLEWARE = [
    'debug_toolbar.middleware.DebugToolbarMiddleware',
    # ...
]

# In urls.py:
if DEBUG:
    urlpatterns += [
        path('__debug__/', include('debug_toolbar.urls')),
    ]

Verify before relying

  • Extent of third-party panel ecosystem and how to discover/install community-contributed panels.
  • Performance impact of running the toolbar on development server response times.
  • Current state of async view support beyond 'experimental' label and whether concurrent request handling has been added.

Package facts

LicenseBSD-3-Clause permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
djangosqlparse
MaintenanceActively maintained 0 days since the last release
Last repo commit
First released
Downloads9,003,980 / month, #1,568 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableEnvironment :: Web EnvironmentFramework :: DjangoFramework :: Django :: 5.2Framework :: Django :: 6.0Framework :: Django :: 6.1Intended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries :: Python Modules

Evidence: django_debug_toolbar-7.1.1-py3-none-any.whl

Tags

Capabilities
django debug toolbardjango development debuggingdjango request inspectiondjango sql query profilingdjango performance debuggingdjango development panelsdjango request response debug
Topics
django-developmentdebugging-profilingweb-framework

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “django development debugging”

Give your agent the search over MCP, or paste the wish link into any chat.

More Python Modules packages

idna Worth it
PyPI · Python Modules · released Jun 2026

Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.

Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.

BSD-3-Clausepure Python · 3.9+
1.8Bdownloads / mo
setuptools Worth it
PyPI · Python Modules · released Aug 2026

Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.

MITpure Python · 3.10+
1.6Bdownloads / mo
PyYAML Worth it
PyPI · Python Modules · released Sep 2025

PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.

MITcompiled wheel · 3.8+
1.2Bdownloads / mo
pydantic Worth it
PyPI · Python Modules · released May 2026

Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.

MITpure Python · 3.9+
1.1Bdownloads / mo
annotated-types Worth it
PyPI · Python Modules · released Jul 2026

Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.

Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…

MITpure Python · 3.10+
871.3Mdownloads / mo
typing-inspection Worth it
PyPI · Python Modules · released Aug 2026

Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.

MITpure Python · 3.10+
783.0Mdownloads / mo

See also django-debug-toolbar-template-profiler · django-graphiql-debug-toolbar · Flask-DebugToolbar · requests-tracker · aiohttp-debugtoolbar · djdt-flamegraph · django-debug-toolbar-template-timings · pyramid-debugtoolbar · django-health-check · django-querycount