Windmill

Windmill is an open-source workflow engine and developer platform built for teams that want real code, fast execution, and self-hosted control. It supports workflows, internal tools, scripts, apps, and HTTP endpoints in one environment, which makes it useful for automation, integrations, APIs, and developer-facing operations. Instead of focusing only on no-code builders, Windmill is designed for technical teams that want workflow orchestration without giving up programming languages, Git-based collaboration, or infrastructure choice.

Why people use Windmill

People choose Windmill when they want a developer-first alternative to heavier internal tooling or automation stacks. It solves the problem of stitching together scripts, jobs, APIs, and workflows across different runtimes while still offering a usable UI. Windmill is attractive for engineering, platform, data, and AI teams that need to automate back-office tasks, build internal apps, expose endpoints, and run scheduled or event-driven jobs. It is often a better fit than simpler tools when code flexibility, self-hosting, and resource control matter more than a giant connector marketplace.

Core capabilities

• Open-source workflow engine with support for scripts, flows, apps, and endpoints
• Multi-language runtime support including TypeScript, Python, Go, SQL, Bash, PHP, C#, and Rust
• Self-hosting on Docker, Docker Compose, Kubernetes, Fargate, and other infrastructure
• OpenAPI-based platform API for administration and automation
• Resources and secrets system for connecting external services and APIs
• Git-based deployment and versioning options for team workflows
• Worker architecture for scaling jobs and compute-intensive workloads
• Enterprise upgrades for audit logs, SAML, Git sync, worker management, and advanced performance controls

Who it is best for

Windmill is best for developers, platform teams, data teams, and technical operations groups that want a programmable automation layer. It fits companies that prefer self-hosting, infrastructure transparency, and code-centric workflows. It can work for AI and data-heavy internal automation, but it is strongest when a technical team is available to own deployment patterns and workflow design.

How it fits into modern workflows

Windmill fits modern workflows by acting as a programmable orchestration layer between internal systems, databases, SaaS tools, and custom services. Teams can use it to run scheduled jobs, API-triggered automations, internal dashboards, and AI-assisted pipelines while keeping logic close to code. It is especially useful for organizations that want to combine automation, APIs, and internal tooling in one stack without locking everything into a closed SaaS builder.