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kestra-io/kestra

📈 Trending26,880JavaAudience · developerComplexity · 4/5ActiveLicenseSetup · moderate

TLDR

Open-source workflow automation platform where you describe multi-step processes in simple text format, then schedule and monitor them through a visual dashboard or code.

Mindmap

mindmap
  root((Kestra))
    What it does
      Schedule workflows
      Trigger on events
      Monitor execution
      Version control
    How to use
      YAML text format
      Visual dashboard
      Code or no-code
      Browser interface
    Integrations
      Databases
      Cloud storage
      APIs
      Scripting languages
    Use cases
      Data pipelines
      DevOps automation
      Business processes
      Multi-step tasks
    Tech stack
      Java backend
      Plugin system
      REST API
      Web UI

Things people build with this

USE CASE 1

Build data pipelines that extract, transform, and load data on a schedule without writing custom code.

USE CASE 2

Automate DevOps tasks like deployments, backups, and infrastructure checks triggered by events or time.

USE CASE 3

Create multi-step business workflows that coordinate between databases, APIs, and cloud services with full audit trails.

USE CASE 4

Run scripts in multiple languages (Python, JavaScript, R) as part of larger automated processes.

Tech stack

JavaYAMLPythonJavaScriptREST APIDocker

Getting it running

Difficulty · moderate Time to first run · 30min

Requires Docker to run the platform and its services; Java/Python runtime dependencies need to be installed or containerized.

Open-source software allowing free use, modification, and distribution for any purpose including commercial use.

In plain English

Kestra is an open-source automation platform that lets you build, schedule, and manage workflows, think of it as a sophisticated "if this then that" system for businesses and developers who need to automate complex, multi-step processes reliably. The core idea is simple: you describe what you want to happen (and in what order) using a straightforward text-based format called YAML, and Kestra handles the execution. You can set workflows to run on a schedule (like every morning at 9am), or trigger them automatically when something happens elsewhere, a file arrives, a database changes, an API fires a signal. What makes it stand out is its visual interface: you can build and monitor your workflows through a browser-based dashboard without touching code at all. But for teams that prefer code, everything is also stored as plain text files you can version-control like any other software project. It bridges the gap between "point and click" ease and engineering best practices. The plugin library is extensive, Kestra can connect to databases, cloud storage services (AWS, Google Cloud, Azure), APIs, messaging systems, and run scripts in Python, JavaScript, R, Go, or almost any other language. It's designed to scale from a single small process to millions of daily workflow runs. Kestra is aimed at data teams, DevOps engineers, and businesses that need reliable automation without building custom infrastructure from scratch. It's particularly useful when you have many moving parts that need to work together in a predictable, auditable way.

Copy-paste prompts

Prompt 1
Show me how to create a simple Kestra workflow that runs a Python script every morning at 9am and sends the results to Slack.
Prompt 2
How do I set up a Kestra workflow that triggers automatically when a file is uploaded to S3, processes it, and stores results in a database?
Prompt 3
Walk me through building a workflow in Kestra's visual dashboard that coordinates between three different APIs and logs all execution details.
Prompt 4
What's the best way to version control my Kestra workflows as YAML files in Git alongside my application code?
Prompt 5
How do I create a Kestra workflow that retries failed steps automatically and sends alerts when something goes wrong?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.