sqlalchemy-celery-beat
A Scheduler Based SQLalchemy For Celery
Decision gist · record as of 2026-08-14
Yes, with conditions. Install if you need dynamic Celery task scheduling in a non-Django application and can accept that the project is in Alpha with 451 days since the last release. The low install friction and permissive MIT license are favorable, and there are no known vulnerabilities. However, verify compatibility with your specific celery and sqlalchemy versions before production use, and monitor the repository for updates given the aging maintenance status.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires celery >= 5.0 and sqlalchemy >= 1.4 to be installed separately before use.
- Low friction install with four straightforward runtime dependencies.
- Maintenance status is aging—last release was 451 days ago—but the repository remains active and unarchived with recent commits, suggesting the project is maintained but not actively developed.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.
last release 2025-05-20 (451 days) · last repo commit 2025-05-20 · 81 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 91,145 downloads/mo, #13,537 on PyPI
Alternatives
Verify before relying
pip install sqlalchemy-celery-beat
from sqlalchemy_celery_beat.models import PeriodicTask, IntervalSchedule, Period
from sqlalchemy_celery_beat.session import SessionManager
session_manager = SessionManager()
session = session_manager.session_factory('sqlite:///schedule.db')
schedule = IntervalSchedule(every=10, period=Period.SECONDS)
session.add(schedule)
session.commit()
task = PeriodicTask(
schedule_model=schedule,
name='my_task',
task='proj.tasks.my_task'
)
session.add(task)
session.commit()- Whether the aging maintenance status (451 days since last release) affects compatibility with recent celery or sqlalchemy versions
- Production readiness and stability guarantees given the Alpha development status classifier
What it is and what it does
sqlalchemy-celery-beat replaces Celery Beat's in-memory scheduler with a database-backed alternative, storing periodic task definitions in SQLAlchemy-compatible databases like SQLite, MySQL, or PostgreSQL. This allows you to add, modify, and disable scheduled tasks without restarting the beat process—a capability similar to django-celery-beat but for non-Django applications like Flask or FastAPI.
The package provides models for interval-based schedules (every N seconds/minutes/hours/days) and crontab-based schedules, letting you define periodic tasks programmatically through your application code. You configure a database URI in your Celery config, and the scheduler queries that database at runtime to determine which tasks to execute. It depends on celery, sqlalchemy, tzdata for timezone handling, and ephem for astronomical calculations.
Use it for
- Store Celery periodic tasks in a database for Flask or FastAPI applications that need Django-like scheduling without Django.
- Dynamically add or modify scheduled tasks at runtime without restarting the Celery beat process.
- Run multiple beat instances against the same database to coordinate task scheduling across a distributed system.
- Use crontab-style schedules with timezone awareness for tasks that must run at specific times across regions.
- Manage task arguments and expiry times through database records instead of configuration files.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
Install if you need dynamic Celery task scheduling in a non-Django application and can accept that the project is in Alpha with 451 days since the last release. The low install friction and permissive MIT license are favorable, and there are no known vulnerabilities. However, verify compatibility with your specific celery and sqlalchemy versions before production use, and monitor the repository for updates given the aging maintenance status.
Install
sqlalchemy-celery-beat on PyPI
Before you install
Low friction install with four straightforward runtime dependencies. Maintenance status is aging—last release was 451 days ago—but the repository remains active and unarchived with recent commits, suggesting the project is maintained but not actively developed.
Requires celery >= 5.0 and sqlalchemy >= 1.4 to be installed separately before use.
License in practice
MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.
Quickstart
pip install sqlalchemy-celery-beat
from sqlalchemy_celery_beat.models import PeriodicTask, IntervalSchedule, Period
from sqlalchemy_celery_beat.session import SessionManager
session_manager = SessionManager()
session = session_manager.session_factory('sqlite:///schedule.db')
schedule = IntervalSchedule(every=10, period=Period.SECONDS)
session.add(schedule)
session.commit()
task = PeriodicTask(
schedule_model=schedule,
name='my_task',
task='proj.tasks.my_task'
)
session.add(task)
session.commit()Verify before relying
- Whether the aging maintenance status (451 days since last release) affects compatibility with recent celery or sqlalchemy versions
- Production readiness and stability guarantees given the Alpha development status classifier
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagescelerysqlalchemytzdataephem |
| Maintenance | Aging 451 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 91,145 / month, #13,537 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries |
Evidence: sqlalchemy_celery_beat-0.8.4-py3-none-any.whl
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See also celery-redbeat · django-celery-beat · django-celery-results · tenant-schemas-celery · SQLAlchemy-Continuum · schedule · django-tasks-db · scheduler · APScheduler · celery