Package Health Score

75 / 100

security
Security review needed
popularity
Key ecosystem project
maintenance
Sustainable
community
Sustainable

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Popularity

Key ecosystem project

GitHub Stars: 6.23K
Forks: 706
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package APScheduler, we found that it has been starred 6,233 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Aug 19, 2023
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 33
Open PR: 1
Last Release: 1 year ago
Last Commit: 2 months ago

Further analysis of the maintenance status of APScheduler based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

An important project maintenance signal to consider for APScheduler is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like APScheduler is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.6

Age: 15 years
Latest Release: 6 months ago
Dependencies: 4 Direct / 7 Total
Versions: 54
Maintainers: 1
Wheels: OS Independent

Readme

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[1].

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:

Cron-style scheduling (with optional start/end times)
Interval-based execution (runs jobs on even intervals, with optional start/end times)
One-off delayed execution (runs jobs once, on a set date/time)

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:

Memory
SQLAlchemy (any RDBMS supported by SQLAlchemy works)
MongoDB
Redis
RethinkDB
ZooKeeper

APScheduler also integrates with several common Python frameworks, like:

asyncio (3156)
gevent
Tornado
Twisted
Qt (using either PyQt , PySide6 , PySide2 or PySide)

There are third party solutions for integrating APScheduler with other frameworks:

Django
Flask

Documentation

Documentation can be found here.

Source

The source can be browsed at Github.

Reporting bugs

A bug tracker is provided by Github.

Getting help

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

Ask in the apscheduler room on Gitter
Ask on the APScheduler GitHub discussion forum, or
Ask on StackOverflow and tag your question with the apscheduler tag

[1] The cutoff period for this is also configurable.

APScheduler dependencies

importlib-metadata pytz six tzlocal

FAQs

What is APScheduler?

In-process task scheduler with Cron-like capabilities. Visit Snyk Advisor to see a full health score report for APScheduler, including popularity, security, maintenance & community analysis.

Is APScheduler popular?

The python package APScheduler receives a total of 2,450,771 weekly downloads. As such, APScheduler popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is APScheduler well maintained?

We found indications that APScheduler maintenance is sustainable demonstrating some project activity. We saw a total of 0 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is APScheduler safe to use?

While scanning the latest version of APScheduler, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 28 October-2024, at 10:16 (UTC).

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APScheduler

In-process task scheduler with Cron-like capabilities For more information about how to use this package see README

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Popularity

Direct Usage Popularity

Security

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Maintenance

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Community

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Package

Readme

Documentation

Source

Reporting bugs

Getting help

APScheduler dependencies

FAQs

What is APScheduler?

Is APScheduler popular?

Is APScheduler well maintained?

Is APScheduler safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

Documentation

Source

Reporting bugs

Getting help

APScheduler dependencies

FAQs

What is APScheduler?

Is APScheduler popular?

Is APScheduler well maintained?

Is APScheduler safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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