django-dynamic-fixture
A full library to create dynamic model instances for testing purposes.
Decision gist · record as of 2026-08-14
Yes, if you write Django tests. DDF has no runtime dependencies, low install friction, and a stable track record since its first release in 2011. The dormant maintenance status is acceptable for a mature library—it does one thing well and doesn't require frequent updates. Install it if you want to reduce test boilerplate; skip it only if your project uses minimal fixtures or a different test-data strategy.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Django to be installed and configured in your project; DDF generates instances for Django models only.
- Low friction install with no runtime dependencies.
- Maintenance is dormant—last release was Sep 2023 and last commit Oct 2024—but the package is stable and widely used.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use this in commercial and open-source projects with minimal restrictions.
last release 2023-09-15 (1064 days) · last repo commit 2024-10-10 · 387 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 162,576 downloads/mo, #10,596 on PyPI
Alternatives
Verify before relying
pip install django-dynamic-fixture
from ddf import G
author = G(Author)
book = G(Book, authors=[author])- Whether the package works with Django versions released after Oct 2024
- Compatibility with Python 3.12+ (classifiers list only up to 3.11)
- Monthly download volume and its stability over time
What it is and what it does
Django Dynamic Fixture (DDF) is a test-data generation library that creates Django model instances on demand, saving you from writing repetitive fixture code. Instead of manually constructing test objects with all their required fields, you call G(Model) to generate a valid instance with sensible random defaults, then override only the fields that matter for your test. It handles relationships, foreign keys, and nested object creation through a simple dot-notation syntax, and provides utilities like M() for masked random strings and teach() to define reusable generation rules.
The library is designed to keep test code readable and maintainable by letting you focus on test logic rather than data setup. It works with Django's ORM directly and integrates into your existing test suite without special configuration.
Use it for
- Writing unit tests for Django models where you need valid instances but don't care about most field values
- Creating related objects in tests without nested fixture boilerplate
- Generating multiple test instances quickly for bulk test data
- Testing model methods and querysets where the test logic matters more than the data setup
- Defining reusable test data patterns across a test suite using teach() to configure model generation rules
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you write Django tests.
DDF has no runtime dependencies, low install friction, and a stable track record since its first release in 2011. The dormant maintenance status is acceptable for a mature library—it does one thing well and doesn't require frequent updates. Install it if you want to reduce test boilerplate; skip it only if your project uses minimal fixtures or a different test-data strategy.
Install
django-dynamic-fixture on PyPI
Before you install
Low friction install with no runtime dependencies. Maintenance is dormant—last release was Sep 2023 and last commit Oct 2024—but the package is stable and widely used. Suitable for established projects that don't require active development.
Requires Django to be installed and configured in your project; DDF generates instances for Django models only.
License in practice
MIT license is permissive; you can use this in commercial and open-source projects with minimal restrictions.
Quickstart
pip install django-dynamic-fixture
from ddf import G
author = G(Author)
book = G(Book, authors=[author])Verify before relying
- Whether the package works with Django versions released after Oct 2024
- Compatibility with Python 3.12+ (classifiers list only up to 3.11)
- Monthly download volume and its stability over time
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Dormant 1,064 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 162,576 / month, #10,596 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Framework :: DjangoOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: PyPyTopic :: Software Development |
Evidence: django_dynamic_fixture-4.0.1-py3-none-any.whl
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See also pytest-unused-fixtures · pytest-factoryboy · pytest-lazy-fixtures · django-phonenumber-field · django-fixture-magic · pytest-lazy-fixture · pytest-fixture-config · marshmallow-sqlalchemy · pytest-postgresql · pytest-rng