One Schedules page. Every Python scheduler.
z4j surfaces every Python task scheduler in one dashboard: celery-beat, rq-scheduler, APScheduler, Huey periodic, arq cron, and taskiq. Plus z4j-scheduler, an engine-agnostic dynamic scheduler that drives any of the six engines from one service with live editing and a tamper-evident audit log of edits.
z4j-scheduler
One service that drives Celery, RQ, Dramatiq, Huey, arq, and taskiq. Schedules live in z4j's database; edit live from the dashboard or REST without restarting any daemon. To our knowledge it is the only Python scheduler that combines engine-agnostic dispatch, live editing, HA leader election, and a tamper-evident HMAC-chained audit log of edits in one binary.
Engine-agnostic dispatch
One scheduler binary, six engines. Run Celery + RQ + Huey side by side and edit them all from the same dashboard.
Live editing, no restart
Create, pause, rename, or delete a schedule from the dashboard or REST API; the next tick (one second later) picks it up. No pod restart, no static config redeploy.
HA leader election
Run multiple instances; only one ticks. Postgres advisory-lock leader, rolling-restart safe, no missed fires during handover.
Importer + exporter, no lock-in
Import existing schedules from celery-beat, rq-scheduler, APScheduler, Huey, arq, taskiq, or system crontab. Export back at any time, round-trip pinned by tests.
Or keep your existing scheduler. We ship an adapter for each.
If z4j-scheduler is more than you need, every native scheduler has a z4j adapter that surfaces its schedules in the same dashboard. You keep celery-beat / rq-scheduler / APScheduler running unchanged; z4j just reads from it (and writes back where the upstream tool supports it).
Celery Beat
Full CRUD for Celery's canonical scheduler.
pip install z4j-celerybeatDetails
rq-scheduler
RQ's optional scheduler, wired to the dashboard.
pip install z4j-rqschedulerDetails
APScheduler
Engine-agnostic scheduler. Pair with anything.
pip install z4j-apschedulerDetails
Huey @periodic_task
Read-only surface for Huey's decorator schedules.
pip install z4j-hueyperiodicDetails
arq cron_jobs
Read-only surface for arq's WorkerSettings.cron_jobs.
pip install z4j-arqcronDetails
taskiq scheduler
Wraps LabelScheduleSource + custom sources.
pip install z4j-taskiqschedulerDetails
Which scheduler for which engine?
Every engine has a default pairing. You can also pair any engine with APScheduler if you prefer a single scheduling runtime.
| Engine | Default scheduler | Capabilities |
|---|---|---|
| Celery | Celery Beat z4j-celerybeat | List schedules, Create schedule, Update schedule, Delete schedule, Enable / disable, Trigger-now |
| RQ | rq-scheduler z4j-rqscheduler | List schedules, Enable / disable, Delete, Trigger-now |
| Dramatiq | APScheduler z4j-apscheduler | List, Read, Enable / disable, Delete, Trigger-now |
| Huey | Huey @periodic_task z4j-hueyperiodic | List, Read |
| arq | arq cron_jobs z4j-arqcron | List, Read |
| taskiq | taskiq scheduler z4j-taskiqscheduler | List, Read, Delete (when source supports it) |
Add a scheduler to your app
Install the scheduler package alongside your engine adapter. The agent auto-discovers periodic tasks on boot and keeps the dashboard in sync.
# Celery + celery-beat
pip install z4j-celery z4j-celerybeat
# RQ + rq-scheduler
pip install z4j-rq z4j-rqscheduler
# Dramatiq + APScheduler (engine-agnostic scheduler)
pip install z4j-dramatiq z4j-apscheduler
# Huey with @periodic_task decorators
pip install z4j-huey z4j-hueyperiodic
# arq with WorkerSettings.cron_jobs
pip install z4j-arq z4j-arqcron
# taskiq schedule sources
pip install z4j-taskiq z4j-taskiqschedulerNeed a scheduler for a custom stack?
APScheduler works with any engine. Or implement the SchedulerAdapter Protocol: six methods, ~200 LOC.