Open-Source AI · Low-code AI builder

Windmill vs Kestra

Windmill vs Kestra compared for 2026 — features, license, ease of use, performance and which one to choose. Turn scripts into workflows and UIs vs Declarative orchestration with AI steps.

Updated regularly · curated by OpenSourceAI.tech

Choose Windmill for developer-first internal tooling. Choose Kestra for data pipelines that include AI steps.

Windmill vs Kestra at a glance

SpecWindmillKestra
CategoryLow-code AI builderLow-code AI builder
TypeWorkflow platformOrchestration platform
LicenseAGPL-3.0Apache-2.0
Runs locallyYesYes
Primary languageRustJava
Ease of useIntermediateIntermediate
Best fordeveloper-first internal toolingdata pipelines that include AI steps
GitHub stars27.4k

How Windmill and Kestra score

🏆 Overall edge: Kestra — 4.4 vs 4.0 / 5
CriterionWindmillKestra
Popularityn/a3.5
Maintenancen/a5.0
Ease of use3.53.5
Privacy5.05.0
License freedom3.55.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

Windmill

Workflow platform · AGPL-3.0

Windmill turns Python, TypeScript or SQL scripts into workflows, schedules and internal apps, with AI steps as first-class citizens.

  • Scripts first, UI generated for you
  • Very fast execution engine
  • Self-hosted, no vendor lock-in
Visit Windmill →

Kestra

Orchestration platform · Apache-2.0

Kestra orchestrates data and AI workflows declaratively in YAML, with a UI, scheduling and hundreds of plugins.

  • Declarative YAML workflows
  • Handles large data pipelines
  • Rich plugin ecosystem
See the Kestra page →

Key differences

Windmill is workflow platform, while Kestra is orchestration platform. Their licenses differ (AGPL-3.0 vs Apache-2.0), which matters if you ship a commercial product. In short, Windmill fits developer-first internal tooling, and Kestra fits data pipelines that include AI steps.

Which should you choose?

Choose Windmill for developer-first internal tooling. Choose Kestra for data pipelines that include AI steps.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is Windmill or Kestra easier to use?

Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.

Are Windmill and Kestra free?

Windmill is free and open source (AGPL-3.0), and Kestra is free and open source (Apache-2.0). Neither charges for the core software.

Can I run Windmill and Kestra locally?

Windmill: yes · Kestra: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

Windmill vs Kestra — which should I pick in 2026?

Choose Windmill for developer-first internal tooling. Choose Kestra for data pipelines that include AI steps.

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