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A Celery Beat Scheduler that uses Redis to store both schedule definitions and status information

Project description


It’s modified from celerybeat-mongo (

This is a Celery Beat Scheduler ( that stores both the schedules themselves and their status information in a backend Redis database.


  1. Full-featured celery-beat scheduler
  2. Dynamically add/remove/modify tasks
  3. Support multiple instance by Active-Standby model


It can be installed by installing the celerybeat-redis Python egg:

# pip install celerybeat-redis

And specifying the scheduler when running Celery Beat, e.g.

$ celery beat -S celerybeatredis.schedulers.RedisScheduler

See more details in Github:

Project details

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