head to head · open source
apscheduler vs kubestellar
apscheduler has 7,678 GitHub stars, 815 forks, 53 open issues and last shipped 8 days ago. kubestellar has 726 stars, 330 forks, 215 open issues and last shipped yesterday. apscheduler leads on adoption by 958% (7,678 vs 726 stars). apscheduler is written in Python under MIT; kubestellar is written in Go under Apache-2.0. apscheduler has attracted 11% as many forks as stars, kubestellar 45%. kubestellar was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (scheduling), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| apscheduler | kubestellar | |
|---|---|---|
| GitHub stars | ★ 7.7K | ★ 726 |
| License | MIT | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-10-26 | 2026-11-02 |
| Forks | ⑂ 815 | ⑂ 330 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick apscheduler if
- You weight community size — 7.7K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick kubestellar if
- You want the kubestellar feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and kubestellar fits your workflow better
About apscheduler
.. image:: :target: :alt: Build Status .. image:: :target: :alt: Code Coverage .. image:: :target: :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…
read the full apscheduler overview →
About kubestellar
Multi cluster Configuration Management for Edge, Multi Cloud, and Hybrid Cloud KubeStellar is a Cloud Native Computing Foundation (CNCF) Sandbox project that simplifies the deployment and configuration of applications across multiple Kubernetes clusters. It provides a seamless experience akin to using a single cluster, and it integrates with the tools you're already familiar with, eliminating the need to modify existing resources. KubeStellar is particularly beneficial if you're currently deploying in a single cluster and are looking to expand to multiple clusters, or if you're already using multiple clusters…
read the full kubestellar overview →
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Frequently asked questions
Is apscheduler or kubestellar more popular?
apscheduler has 7,678 GitHub stars and kubestellar has 726. apscheduler has the larger community by that measure.
Are apscheduler and kubestellar free?
Both are open source. apscheduler is licensed under MIT and kubestellar under Apache-2.0. Neither carries a licence fee.
What is the difference between apscheduler and kubestellar?
apscheduler is written in Python and kubestellar in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, apscheduler or kubestellar?
Choose apscheduler if you want the larger community (7,678 stars) or its MIT licence terms. Choose kubestellar if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.