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:alt: Documentation

… warning:: The v4.0 series is provided as a pre-release and may change in a
backwards incompatible fashion without any migration pathway, so do NOT use this
release in production!

Advanced Python Scheduler (APScheduler) is a task scheduler and task queue system for
Python. It can be used solely as a job queuing system if you have no need for task
scheduling. It scales both up and down, and is suitable for both trivial, single-process
use cases as well as large deployments spanning multiple nodes. Multiple schedulers and
workers can be deployed to use a shared data store to provide both a degree of high
availability and horizontal scaling.

APScheduler comes in both synchronous and asynchronous flavors, making it a good fit for
both traditional, thread-based applications, and asynchronous (asyncio or Trio_)
applications. Documentation and examples are provided for integrating with either WSGI_
or ASGI_ compatible web applications.

Support is provided for persistent storage of schedules and jobs. This means that they
can be shared among multiple scheduler/worker instances and will survive process and
node restarts.

The built-in persistent data store back-ends are:

• PostgreSQL
• MySQL and derivatives
• SQLite
• MongoDB

The built-in event brokers (needed in scenarios with multiple schedulers and/or
workers):

• PostgreSQL
• Redis
• MQTT

The built-in scheduling mechanisms (triggers) are:

• Cron-style scheduling
• Interval-based scheduling (runs tasks on even intervals)
• Calendar-based scheduling (runs tasks on intervals of X years/months/weeks/days,
  always at the same time of day)
• One-off scheduling (runs a task once, at a specific date/time)

Different scheduling mechanisms can even be combined with so-called combining triggers
(see the documentation_ for details).

You can also implement your custom scheduling logic by building your own trigger class.
These will be treated no differently than the built-in ones.

Other notable features include:

• You can limit the maximum number of simultaneous jobs for a given task (function)
• You can limit the amount of time a job is allowed to start late
• Jitter (adjustable, random delays added to the run time of each scheduled job)

… _Trio: https://pypi.org/project/trio/
… _WSGI: https://wsgi.readthedocs.io/en/latest/what.html
… _ASGI: https://asgi.readthedocs.io/en/latest/index.html
… _documentation: https://apscheduler.readthedocs.io/en/master/

Documentation

Documentation can be found
here <https://apscheduler.readthedocs.io/en/master/?badge=latest>_.

Source

The source can be browsed at Github <https://github.com/agronholm/apscheduler>_.

Reporting bugs

A bug tracker <https://github.com/agronholm/apscheduler/issues>_ is provided by
GitHub.

Getting help

If you have problems or other questions, you can either:

• Ask in the apscheduler <https://gitter.im/apscheduler/Lobby>_ room on Gitter
• Post a question on GitHub discussions_, or
• Post a question on StackOverflow_ and add the apscheduler tag

… _GitHub discussions: https://github.com/agronholm/apscheduler/discussions/categories/q-a
… _StackOverflow: http://stackoverflow.com/questions/tagged/apscheduler