APScheduler
Task scheduling library for Python applications.
- Status
- Generally available
- Last checked
- Checked · Oct 5, 2026
- License
- Open source
- Pricing
- Free tier
What it is
APScheduler is a Python library designed for scheduling tasks, allowing developers to automate processes using cron-like scheduling. It supports various scheduling options such as fixed intervals, specific dates, or recurring schedules. APScheduler can be integrated into any Python application, offering flexibility with its ability to persist jobs in databases or other storage backends. It is open-source and licensed under the MIT License, making it accessible for both personal and commercial use.
Modular architecture allowing custom job stores and executors.
When it fits — and when it doesn’t
A good fit for
Small to medium-sized Python applications
Provides simple and flexible scheduling without extensive overhead.
Projects requiring cron-like scheduling
Supports cron syntax, making it easy to migrate existing cron jobs.
Look elsewhere if
Non-Python projects
Designed specifically for Python, limiting its use in other environments.
Applications needing built-in monitoring
Lacks native monitoring features, requiring additional setup.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited to Python
Written entirely in Python and designed for Python applications.
- 02
Complexity in large-scale applications
May require additional configuration for high concurrency.
- 03
No built-in monitoring tools
Lacks native support for monitoring job execution.
What it does well
Flexible scheduling options
Supports cron-like syntax, fixed intervals, and specific dates.
Integration with multiple backends
Can persist jobs in databases like SQLite, PostgreSQL, or MongoDB.
Open-source with MIT License
Available on GitHub with MIT License.
Pricing
- Free tier
- Yes
- Paid from
- —
- Model
- Flat rate
- Enterprise plan
- No
Pricing last confirmed Sep 29, 2026.
Performance benchmarks
How Fast Is It?
Set up APScheduler
Setup steps, common gotchas and what to check after 30 days.