head to head · open source
Kestra vs Tracely-ai
Kestra has 30,122 GitHub stars, 3,495 forks, 713 open issues and last shipped yesterday. Tracely-ai has 1,530 stars, 173 forks, 21 open issues and last shipped 27 days ago. Kestra leads on adoption by 1,869% (30,122 vs 1,530 stars). Kestra is written in Java under Apache-2.0; Tracely-ai is written in Python under MIT. Kestra has attracted 12% as many forks as stars, Tracely-ai 11%. Kestra was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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.
← all 20902 open source comparisons
Side by side
| Kestra | Tracely-ai | |
|---|---|---|
| GitHub stars | ★ 30K | ★ 1.5K |
| License | Apache-2.0 | MIT |
| Written in | Java | Python |
| Last push | 2026-11-02 | 2026-10-07 |
| Forks | ⑂ 3.5K | ⑂ 173 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Kestra if
- You weight community size — 30K 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 Tracely-ai if
- You want the Tracely-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Tracely-ai fits your workflow better
About Kestra
Open source orchestration platform for data, AI, and infrastructure workflows Click on the image to learn how to get started with Kestra in 3 minutes. 🌟 What is Kestra? Kestra is an open source, event driven orchestration platform for data, AI, and infrastructure workflows. It unifies scheduled and event driven automation behind a declarative, language agnostic interface. By bringing Infrastructure as Code best practices to your data, process, and microservice pipelines, you can build reliable workflows directly from the UI in just a few lines of YAML, let the built in AI Copilot write them for you, or generate…
read the full Kestra overview →
About Tracely-ai
Tracely Production failures become regression tests. Trace native CI/CD for AI agents. Tracely grades every agent trace as it lands, clusters the failures into issues, freezes the bad runs into hermetic replayable cases, blocks the pull request that would ship them again — and tells you the moment any of it happens. production trace → failure detection → regression test → CI gate → alert Website · Docs · Product guide · Agent skill · Guided tour · 2 min demo · Design dossier Self host the whole stack in one click — API, worker, UI, Postgres, ClickHouse, Redis and MinIO: One workspace: what ran, what broke, what…
read the full Tracely-ai overview →
More in Infrastructure & Operations
Related comparisons
More Orchestration & Scheduling projects
Compare either of these against the rest of the Orchestration & Scheduling field.
Frequently asked questions
Is Kestra or Tracely-ai more popular?
Kestra has 30,122 GitHub stars and Tracely-ai has 1,530. Kestra has the larger community by that measure.
Are Kestra and Tracely-ai free?
Both are open source. Kestra is licensed under Apache-2.0 and Tracely-ai under MIT. Neither carries a licence fee.
What is the difference between Kestra and Tracely-ai?
Kestra is written in Java and Tracely-ai 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 Tracely-ai?
Choose Kestra if you want the larger community (30,122 stars) or its Apache-2.0 licence terms. Choose Tracely-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.