Task scheduling library for Python
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Advanced Python Scheduler (APScheduler) is a Python library that lets you schedule your Python code to be executed later, either just once or periodically. You can add new jobs or remove old ones on the fly as you please. If you store your jobs in a database, they will also survive scheduler restarts and maintain their state. When the scheduler is restarted, it will then run all the jobs it should have run while it was offline [#f1]_.
Among other things, APScheduler can be used as a cross-platform, application specific replacement to platform specific schedulers, such as the cron daemon or the Windows task scheduler. Please note, however, that APScheduler is not a daemon or service itself, nor does it come with any command line tools. It is primarily meant to be run inside existing applications. That said, APScheduler does provide some building blocks for you to build a scheduler service or to run a dedicated scheduler process.
APScheduler has three built-in scheduling systems you can use:
You can mix and match scheduling systems and the backends where the jobs are stored any way you like. Supported backends for storing jobs include:
SQLAlchemy_ (any RDBMS supported by SQLAlchemy works)
APScheduler also integrates with several common Python frameworks, like:
.. [#f1] The cutoff period for this is also configurable.
Documentation can be found
The source can be browsed at
bug tracker_ is provided by Github.
If you have problems or other questions, you can either:
apscheduler_ room on Gitter
APScheduler Google group_, or
StackOverflow_ and tag your question with the