Java

Kestra

Declarative orchestration with AI steps

by kestra-io · Apache-2.0

Low-code AI builderOrchestration platformApache-2.0Runs locallyJavaIntermediate

From the README

Install

docker run --pull=always -it -p 8080:8080 --user=root \
  --name kestra --restart=always \
  -v kestra_data:/app/storage \

Everything as Code and from the UI: keep workflows as code with a Git Version Control integration, even when building them from the UI.
Event-Driven & Scheduled Workflows: automate both scheduled and real-time event-driven workflows via a simple trigger definition.
Declarative YAML Interface: define workflows using a simple configuration in the built-in code editor.
Rich Plugin Ecosystem: hundreds of plugins built in to extract data from any database, cloud storage, or API, and run scripts in any language.
Intuitive UI & Code Editor: build and visualize workflows directly from the UI with syntax highlighting, auto-completion and real-time syntax validation.
Scalable: designed to handle millions of workflows, with high availability and fault tolerance.

Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.

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Olud Pulse ⓘ ★★★★★★★★★★ /100 signals tracked

🐳 Docker pulls 📦 PyPI downloads / month 📦 npm downloads / month 🚀 Latest release ·

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

Category	Low-code AI builder
Type	Orchestration platform
License	Apache-2.0
Runs locally	Yes
Built with	Java
Skill level	Intermediate
Best for	data pipelines that include AI steps