APScheduler 2.0.3

In-process task scheduler with Cron-like capabilities

Downloads ↓
|
Package Documentation

Advanced Python Scheduler (APScheduler) is a light but powerful in-process task
scheduler that lets you schedule jobs (functions or any python callables) to be
executed at times of your choosing.

This can be a far better alternative to externally run cron scripts for
long-running applications (e.g. web applications), as it is platform neutral
and can directly access your application's variables and functions.

The development of APScheduler was heavily influenced by the Quartz task scheduler written in Java.
APScheduler provides most of the major features that Quartz does, but it also
provides features not present in Quartz (such as multiple job stores).

Features

  • No (hard) external dependencies
  • Thread-safe API
  • Excellent test coverage (tested on CPython 2.4 - 2.7, 3.2 - 3.3, Jython 2.5.2, PyPy 1.8)
  • Configurable scheduling mechanisms (triggers):
    • Cron-like scheduling
    • Delayed scheduling of single run jobs (like the UNIX "at" command)
    • Interval-based (run a job at specified time intervals)
  • Multiple, simultaneously active job stores:
    • RAM
    • File-based simple database (shelve)
    • SQLAlchemy (any supported RDBMS works)
    • MongoDB

Documentation

Documentation can be found here.

Source

The source can be browsed at Bitbucket.

Reporting bugs

A bug tracker
is provided by bitbucket.org.

Getting help

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

  • Ask on the APScheduler Google group, or
  • Ask on the #apscheduler channel on
    Freenode IRC
声明：本站所有文章，如无特殊说明或标注，均为本站原创发布。任何个人或组织，在未征得本站同意时，禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益，可联系我们进行处理。