django-zeal
Detect N+1s in your Django app
Decision gist · record as of 2026-08-14
Yes. django-zeal is a low-friction, actively maintained tool with no dependencies that solves a real Django performance problem. Install it in development and test environments to catch N+1 queries early. The MIT license is clear, and the overhead is acceptable for non-production use. Not suitable for production deployment.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Django and Python 3.9 or later.
- Intended for development and test environments only; not for production use.
- Low friction: pure Python wheel with no runtime dependencies.
License · maintenance · safety
(unclear) — MIT license (clear permissive terms). Includes attribution to original nplusone author Joshua Carp and current maintainer Tao Bojlén.
last release 2026-07-24 (21 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 133,810 downloads/mo, #11,494 on PyPI
Alternatives
Verify before relying
pip install django-zeal
# In Django settings.py (development only):
if DEBUG:
INSTALLED_APPS.append("zeal")
MIDDLEWARE.append("zeal.middleware.zeal_middleware")
# Or with a test framework:
from zeal import zeal_context
with zeal_context():
# your code here
pass- Whether the package detects all forms of N+1 queries or only the specific patterns mentioned (missing prefetches, .defer(), .only(), .get())
- Compatibility with specific Django versions (not specified in fact sheet)
- Current test coverage and stability metrics beyond 'well-tested' claim
What it is and what it does
django-zeal is a Django development tool that catches N+1 query problems—situations where the same database query runs multiple times when it should run once. It monitors queries during web requests, Celery tasks, and test runs, detecting N+1s caused by missing prefetches or misuse of .defer(), .only(), and .get() methods. The tool integrates via Django middleware and signals, raising errors or logging warnings when problems are found.
It works by tracking which queries execute and how many times, with a configurable threshold for what counts as an N+1. You can allowlist specific model/field combinations, temporarily ignore sections of code, or listen to Django signals to handle detections globally. The package has no runtime dependencies and adds minimal overhead, making it practical for continuous use in development and test suites.
Use it for
- Catch N+1 query bugs during Django test runs before code review or deployment
- Monitor Celery background tasks for database query inefficiencies using signal hooks
- Identify missing prefetch_related() calls in view code with precise file and line numbers
- Allow-list known false positives or intentional query patterns to keep test suites clean
- Debug query performance regressions by enabling full call stacks with ZEAL_SHOW_ALL_CALLERS
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
django-zeal is a low-friction, actively maintained tool with no dependencies that solves a real Django performance problem. Install it in development and test environments to catch N+1 queries early. The MIT license is clear, and the overhead is acceptable for non-production use. Not suitable for production deployment.
Install
django-zeal on PyPI
Before you install
Low friction: pure Python wheel with no runtime dependencies. Actively maintained as of 21 days ago. Designed to run only in development and test environments with documented 3-5% overhead.
Requires Django and Python 3.9 or later. Intended for development and test environments only; not for production use.
License in practice
MIT license (clear permissive terms). Includes attribution to original nplusone author Joshua Carp and current maintainer Tao Bojlén.
Quickstart
pip install django-zeal
# In Django settings.py (development only):
if DEBUG:
INSTALLED_APPS.append("zeal")
MIDDLEWARE.append("zeal.middleware.zeal_middleware")
# Or with a test framework:
from zeal import zeal_context
with zeal_context():
# your code here
passVerify before relying
- Whether the package detects all forms of N+1 queries or only the specific patterns mentioned (missing prefetches, .defer(), .only(), .get())
- Compatibility with specific Django versions (not specified in fact sheet)
- Current test coverage and stability metrics beyond 'well-tested' claim
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 21 days since the last release |
| First released | |
| Downloads | 133,810 / month, #11,494 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: django_zeal-2.2.2-py3-none-any.whl
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See also nplusone · django-querycount · django-queryinspect · drf-api-logger · django-perf-rec · django-celery-results · django-easy-audit · sqlalchemy-mixins · pytest-celery · django-ses