django-celery-beat
Database-backed Periodic Tasks.
Decision gist · record as of 2026-08-14
Yes. It is actively maintained, supports modern Django and Python versions, has no known vulnerabilities, and solves a real operational problem—managing task schedules without code redeploy. Install it if you use Celery with Django and need dynamic task scheduling; the low install friction and permissive license make adoption straightforward.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Django and Celery to be installed and configured; the beat scheduler must be run separately with the DatabaseScheduler backend.
- Low install friction with a wheel distribution.
- Active maintenance with recent commits and a stable codebase supporting modern Django (3.2 through 6.0) and Python (3.8 through 3.14).
License · maintenance · safety
BSD (permissive) — BSD license is permissive, allowing use in proprietary and open-source projects without significant restrictions.
last release 2026-02-28 (167 days) · last repo commit 2026-08-10 · 1,946 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 7,624,123 downloads/mo, #1,713 on PyPI
Alternatives
Verify before relying
pip install django-celery-beat
from django_celery_beat.models import PeriodicTask, IntervalSchedule
schedule, _ = IntervalSchedule.objects.get_or_create(
every=10, period=IntervalSchedule.SECONDS)
PeriodicTask.objects.create(
interval=schedule, name='my-task',
task='myapp.tasks.my_task')- Whether timezone changes to Django TIME_ZONE setting require manual intervention beyond the documented reset procedure.
- Performance characteristics when managing thousands of periodic tasks in the database.
- Compatibility with non-relational database backends or custom Django storage engines.
What it is and what it does
django-celery-beat replaces Celery's static configuration files with a database-backed schedule, allowing you to create, edit, and delete periodic tasks through Django's admin interface without restarting services. It provides three scheduling models: IntervalSchedule for fixed intervals (seconds, minutes, hours, days, microseconds), CrontabSchedule for cron-like expressions with timezone support, and PeriodicTask as the main task definition that links to either schedule type. The package integrates with Celery's beat scheduler via a custom DatabaseScheduler backend.
You manage tasks through Django Admin or programmatically via the ORM. The PeriodicTasks model tracks schedule changes, signaling the beat service to reload without restarts. Tasks support arguments, keyword arguments, queue routing, and expiration times via JSON serialization. The package depends on celery, Django, python-crontab, cron-descriptor, and timezone utilities (django-timezone-field, backports.zoneinfo, tzdata) to handle scheduling across timezones.
Use it for
- Manage periodic data imports, cleanup jobs, or reports without redeploying—edit schedules live in Django Admin.
- Run different periodic tasks on different schedules by creating multiple IntervalSchedule or CrontabSchedule entries.
- Implement timezone-aware cron schedules (e.g., 9 AM Pacific every weekday) using CrontabSchedule with timezone parameter.
- Temporarily disable a periodic task by setting enabled=False without removing it from the database.
- Bulk-update periodic task schedules and notify beat of changes via PeriodicTasks.update_changed().
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
It is actively maintained, supports modern Django and Python versions, has no known vulnerabilities, and solves a real operational problem—managing task schedules without code redeploy. Install it if you use Celery with Django and need dynamic task scheduling; the low install friction and permissive license make adoption straightforward.
Install
django-celery-beat on PyPI
Before you install
Low install friction with a wheel distribution. Active maintenance with recent commits and a stable codebase supporting modern Django (3.2 through 6.0) and Python (3.8 through 3.14).
Requires Django and Celery to be installed and configured; the beat scheduler must be run separately with the DatabaseScheduler backend.
License in practice
BSD license is permissive, allowing use in proprietary and open-source projects without significant restrictions.
Quickstart
pip install django-celery-beat
from django_celery_beat.models import PeriodicTask, IntervalSchedule
schedule, _ = IntervalSchedule.objects.get_or_create(
every=10, period=IntervalSchedule.SECONDS)
PeriodicTask.objects.create(
interval=schedule, name='my-task',
task='myapp.tasks.my_task')Verify before relying
- Whether timezone changes to Django TIME_ZONE setting require manual intervention beyond the documented reset procedure.
- Performance characteristics when managing thousands of periodic tasks in the database.
- Compatibility with non-relational database backends or custom Django storage engines.
Package facts
| License | BSD permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesceleryimportlib-metadatadjango-timezone-fieldbackports.zoneinfotzdatapython-crontabcron-descriptorDjango |
| Maintenance | Actively maintained 167 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 7,624,123 / month, #1,713 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 :: 5.2Framework :: Django :: 6.0License :: 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 :: 3.14Programming 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_beat-2.9.0-py3-none-any.whl
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See also django-background-tasks · sqlalchemy-celery-beat · tenant-schemas-celery · dj-materialized-views · celery-redbeat · django-celery-results · django-crontab · django-tasks-db · schedule · cronitor