django-pickling
Efficient pickling for django models.
What it is and what it does
django-pickling is a Django app that optimizes the serialization of model instances into pickle format, claiming 2-3× speedup and more compact output. It works by intercepting Django's default pickling behavior and applying custom serialization logic tailored to model structure.
The package is intended for projects that rely heavily on caching or session storage of Django model instances. It requires adding it to INSTALLED_APPS and works with Django 1.8+ and Python 2.7 or 3.3+. The caveats are significant: no Django version checks occur at runtime, field schema changes produce confusing TypeErrors instead of AttributeErrors, and deferred fields are not optimized. The maintainer advises wiping cache or changing keys when field lists change.
Use it for:
- Reduce memory footprint of cached Django model instances in Redis or Memcached
- Speed up session serialization when storing model objects in Django sessions
- Optimize pickle-based inter-process communication of model data in Celery tasks
- Improve performance of applications that frequently pickle/unpickle model instances
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Speeds up Django model pickling by 2-3 times and reduces serialized size by optimizing how model instances are converted to bytes.
No. The package is abandoned (last commit 2017-05-24) and targets Django 1.8–1.11 and Python 2.7–3.6, all of which are long out of support. Modern Django and Python versions are unsupported and untested. Unless you are maintaining legacy code on those exact versions, the risk of silent failures and incompatibility outweighs any performance gain.
Install
django-pickling on PyPI
pip
pip install django-picklinguv
uv add django-picklingpoetry
poetry add django-picklingInstalling django-pickling
Before you install
High install friction due to age and abandonment. Last release was 2017-05-25 and last commit 2017-05-24; no maintenance activity in years. Compatibility claims extend only to Django 1.8–1.11 and Python 2.7 or 3.3–3.6, well outside current support windows.
License in practice
BSD license is permissive and poses no restrictions on use, modification, or distribution in commercial or private projects.
Quickstart
pip install django-pickling
Then add django_pickling to INSTALLED_APPS in your Django settings.
Requires Django 1.8+ and Python 2.7 or 3.3+; no Django version checks are performed at runtime.
Verify before relying
- Whether the package works with modern Django versions (2.0+) and current Python releases (3.7+)
- Whether cached pickles from older versions remain compatible after Django/Python upgrades
- Real-world performance gains on current hardware and Django versions
Package facts
| License | BSD (permissive) |
| Python support | not specified |
| Install friction | high — source build required |
| Runtime dependencies | none |
| Maintenance | abandoned — 3,368 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 111,272/month — #12,424 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: django-pickling-1.0.tar.gz
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