django-anon
Anonymize production data so it can be safely used in not-so-safe environments
Decision gist · record as of 2026-08-14
Yes, if you are on Django 1.8–3.0 and Python 2.7 or 3.7. The package is stable and does its job well for bulk anonymization. No, if you need active maintenance or support for newer Django or Python versions—dormancy since 2021 means no updates for newer framework versions. Consider it for legacy projects or as a starting point you may need to fork.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Django project with models already defined; will modify your current database in place when run() is called.
- Low install friction with just two runtime dependencies (django-bulk-update and django-chunkator).
- Maintenance is dormant—last release was 2021-07-28, so expect no active bug fixes or updates for newer Django versions.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2021-07-28 (1843 days) · last repo commit 2024-01-30 · 164 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 140,877 downloads/mo, #11,260 on PyPI
Alternatives
Verify before relying
pip install django-anon
import anon
class PersonAnonymizer(anon.BaseAnonymizer):
email = anon.fake_email
is_admin = False
class Meta:
model = Person
PersonAnonymizer().run()- Whether the package works with Django versions released after 2021 (documented support ends at 3.0)
- Whether Python 2.7 support remains functional or if the package is effectively Python 3 only in practice
- Real-world performance on databases larger than those in the maintainer's test suite
What it is and what it does
django-anon is a Django utility that replaces sensitive data in your database with fake or static values, letting you safely share production databases with developers for debugging and performance testing. You define anonymization rules by subclassing BaseAnonymizer and specifying which model fields get which fake values (email, name, phone, etc.), then call run() to apply the changes in bulk across your database.
The package includes built-in fake-data generators (fake_email, fake_name, fake_phone_number, and others) and lets you plug in external libraries like Faker for higher-quality synthetic data. You can also define custom logic per row using lazy attributes or a clean() method, and filter which rows to anonymize via a custom QuerySet. It uses bulk updates under the hood to keep large-table operations fast.
Use it for
- Share a production database snapshot with your development team without exposing customer PII or payment information.
- Set up a realistic test environment that mirrors production data patterns without legal or privacy risks.
- Reproduce bugs in a production-like database state while keeping sensitive data out of logs and version control.
- Prepare data for performance testing on real-scale datasets without compliance violations.
- Anonymize user records before exporting data for analytics or third-party audits.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are on Django 1.8–3.0 and Python 2.7 or 3.7.
The package is stable and does its job well for bulk anonymization. No, if you need active maintenance or support for newer Django or Python versions—dormancy since 2021 means no updates for newer framework versions. Consider it for legacy projects or as a starting point you may need to fork.
Install
django-anon on PyPI
Before you install
Low install friction with just two runtime dependencies (django-bulk-update and django-chunkator). Maintenance is dormant—last release was 2021-07-28, so expect no active bug fixes or updates for newer Django versions.
Requires a Django project with models already defined; will modify your current database in place when run() is called.
License in practice
MIT license is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install django-anon
import anon
class PersonAnonymizer(anon.BaseAnonymizer):
email = anon.fake_email
is_admin = False
class Meta:
model = Person
PersonAnonymizer().run()Verify before relying
- Whether the package works with Django versions released after 2021 (documented support ends at 3.0)
- Whether Python 2.7 support remains functional or if the package is effectively Python 3 only in practice
- Real-world performance on databases larger than those in the maintainer's test suite
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesdjango-bulk-updatedjango-chunkator |
| Maintenance | Dormant 1,843 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 140,877 / month, #11,260 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: DjangoIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 3 |
Evidence: django_anon-0.3.2-py2.py3-none-any.whl
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See also Faker · presidio-anonymizer · fake-factory · django-bulk-update · django-fernet-fields-v2 · djangorestframework-bulk · django-nonrelated-inlines · django-pg-returning · faker-edu · faker-nonprofit