Package Health Score

54 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Active

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Popularity

Small

GitHub Stars: 6.36K
Forks: 714
Contributors: 60

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package APScheduler-ng, we found that it has been starred 6,361 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jun 5, 2020
Direct Vulnerabilities: 0
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0
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0
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0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 37
Open PR: 5
Last Release: 5 years ago
Last Commit: 27 days ago

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

An important project maintenance signal to consider for APScheduler-ng 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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 60
Funding: No

With more than 10 contributors for the APScheduler-ng repository, this is possibly a sign for a growing and inviting community.

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

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Package

Python Versions Compatibility: ==2.7.*, ==3.4.*, ==3.5.*, ==3.6.*, ==3.7.*

Age: 5 years
Latest Release: 5 years ago
Dependencies: 9 Direct
Versions: 1
Maintainers: 0
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 or PySide)

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 Google group, or
Ask on StackOverflow and tag your question with the apscheduler tag

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

APScheduler-ng dependencies

funcsigs futures mock pytest-asyncio pytz setuptools six trollius tzlocal

FAQs

What is APScheduler-ng?

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

Is APScheduler-ng popular?

The python package APScheduler-ng receives a total of 63 weekly downloads. As such, APScheduler-ng popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is APScheduler-ng well maintained?

We found indications that APScheduler-ng is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is APScheduler-ng safe to use?

While scanning the latest version of APScheduler-ng, 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 18 December-2024, at 00:26 (UTC).

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APScheduler-ng

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

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APScheduler-ng dependencies

FAQs

What is APScheduler-ng?

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Is APScheduler-ng well maintained?

Is APScheduler-ng safe to use?

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Readme

Documentation

Source

Reporting bugs

Getting help

APScheduler-ng dependencies

FAQs

What is APScheduler-ng?

Is APScheduler-ng popular?

Is APScheduler-ng well maintained?

Is APScheduler-ng safe to use?

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Source Code

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