django-celery-results
Celery result backends for Django.
Decision gist · record as of 2026-08-14
Yes, if you use Celery with Django and prefer to avoid a separate result backend service. The package is actively maintained, has no known vulnerabilities, and integrates cleanly with the Django ORM. Install friction is low. Be aware that database-backed result storage may have different performance characteristics than Redis or similar backends, and MySQL users should verify the task ID length configuration for their version.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Django and Celery to be installed and configured; you must run Django migrations for the django_celery_results app before storing results.
- Low friction install with only two runtime dependencies (celery and Django).
- Actively maintained as of 2026-08-10 with recent releases; no known vulnerabilities.
License · maintenance · safety
BSD (permissive) — BSD license is permissive; you can use, modify, and distribute this package with minimal restrictions in both open-source and commercial projects.
last release 2025-04-10 (491 days) · last repo commit 2026-08-10 · 785 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 4,010,053 downloads/mo, #2,400 on PyPI
Alternatives
Verify before relying
pip install django-celery-results
# In Django settings.py:
INSTALLED_APPS = [
'django_celery_results',
# ...
]
CELERY_RESULT_BACKEND = 'django-db'
# Then run migrations:
# python manage.py migrate django_celery_results
# Query results:
from django_celery_results.models import TaskResult
result = TaskResult.objects.get(task_id='your-task-id')
print(result.result)- Whether MySQL-specific configuration (DJANGO_CELERY_RESULTS_TASK_ID_MAX_LENGTH) is still required for current MySQL versions.
- Performance characteristics when storing large volumes of task results or querying historical results.
What it is and what it does
django-celery-results is a Django integration layer that lets you store Celery asynchronous task results directly in your Django database or cache, rather than in a separate result backend like Redis or RabbitMQ. It defines a single TaskResult model that you can query like any other Django ORM model, making it easy to track task status, retrieve results, and build dashboards or monitoring tools around your async workload.
The package is designed for Django projects that already use Celery for task scheduling and execution. By storing results in your existing database, you avoid the operational overhead of maintaining a separate result storage system, though this approach trades some performance for simplicity. It supports modern Django versions (3.2 through 5.2) and Python 3.8 and later.
Use it for
- Store Celery task results in your Django database so you can query them via the ORM alongside other application data.
- Build a task history or audit trail by querying the TaskResult model to see which tasks ran, when, and what they returned.
- Simplify deployment by eliminating the need for a dedicated result backend service when you already have a database.
- Monitor long-running async operations by checking task status directly from your Django admin or custom dashboards.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Celery with Django and prefer to avoid a separate result backend service.
The package is actively maintained, has no known vulnerabilities, and integrates cleanly with the Django ORM. Install friction is low. Be aware that database-backed result storage may have different performance characteristics than Redis or similar backends, and MySQL users should verify the task ID length configuration for their version.
Install
django-celery-results on PyPI
Before you install
Low friction install with only two runtime dependencies (celery and Django). Actively maintained as of 2026-08-10 with recent releases; no known vulnerabilities.
Requires Django and Celery to be installed and configured; you must run Django migrations for the django_celery_results app before storing results.
License in practice
BSD license is permissive; you can use, modify, and distribute this package with minimal restrictions in both open-source and commercial projects.
Quickstart
pip install django-celery-results
# In Django settings.py:
INSTALLED_APPS = [
'django_celery_results',
# ...
]
CELERY_RESULT_BACKEND = 'django-db'
# Then run migrations:
# python manage.py migrate django_celery_results
# Query results:
from django_celery_results.models import TaskResult
result = TaskResult.objects.get(task_id='your-task-id')
print(result.result)Verify before relying
- Whether MySQL-specific configuration (DJANGO_CELERY_RESULTS_TASK_ID_MAX_LENGTH) is still required for current MySQL versions.
- Performance characteristics when storing large volumes of task results or querying historical results.
Package facts
| License | BSD permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesceleryDjango |
| Maintenance | Actively maintained 491 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 4,010,053 / month, #2,400 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 :: DjangoFramework :: Django :: 3.2Framework :: Django :: 4.1Framework :: Django :: 4.2Framework :: Django :: 5.0Framework :: Django :: 5.1Framework :: Django :: 5.2License :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: CommunicationsTopic :: Software Development :: Libraries :: Python ModulesTopic :: System :: Distributed Computing |
Evidence: django_celery_results-2.6.0-py3-none-any.whl
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See also django-storages · sqlalchemy-celery-beat · celery · django-celery-beat · celery-types · django-tasks-db · celery-progress · celery-batches · tenant-schemas-celery · django-zeal