head to head · open source
Kestra vs JamAIBase
Kestra has 28,181 GitHub stars, 3,005 forks, 713 open issues and last shipped 2 days ago. JamAIBase has 1,103 stars, 47 forks, 2 open issues and last shipped 17 days ago. Kestra leads on adoption by 2,455% (28,181 vs 1,103 stars). Kestra is written in Java under Apache-2.0; JamAIBase is written in Python under Apache-2.0. Kestra has attracted 11% as many forks as stars, JamAIBase 4%. Kestra was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| Kestra | JamAIBase | |
|---|---|---|
| GitHub stars | ★ 28K | ★ 1.1K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Java | Python |
| Last push | 2026-09-18 | 2026-09-03 |
| Forks | ⑂ 3.0K | ⑂ 47 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Kestra if
- You weight community size — 28K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Java
- You value the larger contributor base for long-term maintenance
pick JamAIBase if
- You want the JamAIBase feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and JamAIBase fits your workflow better
About Kestra
Kestra is an open source, event driven orchestration platform for data, AI, and infrastructure workflows. It operates in the Java based ecosystem and is licensed under Apache 2.0. The project provides a unified interface for both scheduled and real time automation, supporting declarative workflow definitions in YAML while also offering visual and AI assisted authoring.
read the full Kestra overview →
About JamAIBase
JamAIBase is an open source, Apache 2.0 licensed RAG backend platform that combines an embedded SQLite database and an embedded LanceDB vector database with managed memory, retrieval and LLM orchestration, exposed through a spreadsheet like UI and a REST API — built for developers and data teams who want to build and iterate on AI applications without wiring a retrieval pipeline from scratch.
read the full JamAIBase overview →
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Frequently asked questions
Is Kestra or JamAIBase more popular?
Kestra has 28,181 GitHub stars and JamAIBase has 1,103. Kestra has the larger community by that measure.
Are Kestra and JamAIBase free?
Both are open source. Kestra is licensed under Apache-2.0 and JamAIBase under Apache-2.0. Neither carries a licence fee.
What is the difference between Kestra and JamAIBase?
Kestra is written in Java and JamAIBase in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Kestra or JamAIBase?
Choose Kestra if you want the larger community (28,181 stars) or its Apache-2.0 licence terms. Choose JamAIBase if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.