Robogator vs. Windmill. Desktop Automation vs. Server Workflow Orchestration
Windmill is an open-source workflow engine and developer platform built around a central server. Self-hosted or run on Windmill Cloud, it turns scripts written in TypeScript, Python, Go, Bash, SQL, PowerShell, and a long list of other languages into APIs, scheduled jobs, internal apps, and auto-generated UIs that an engineering team can share across a workspace. Robogator is a Windows-native automation platform that runs entirely on the desktop. Scripts in C#, Python, and PowerShell are wrapped as named Tasks, scheduled or triggered through a modern UI, and executed locally on the workstation with true multithreading and zero cloud dependency. Both products turn code into reusable, parameterized, schedulable work. They part ways on something more architectural than feature-level: Windmill is a server that orchestrates workflows for a team. Robogator is a desktop application that runs tasks on a workstation.
Philosophy. Server-Side Orchestrator vs. Workstation Automation
Windmill is built around the idea of a workspace: a multi-tenant team environment running on infrastructure (a Docker host, a Kubernetes cluster, or Windmill's cloud) where developers write scripts in a web IDE or sync them from Git, and the platform automatically generates forms, schedules, webhooks, and access controls so the rest of the team can trigger and consume that code. The Postgres-backed job queue, the Rust workers, the worker groups, the audit logs, the SSO and RBAC layer all exist because Windmill assumes you are running internal software for an organization at scale.
Robogator starts from the opposite end. It is a desktop application installed on a Windows machine, and that machine is where the automation lives. Tasks run against the local file system, the local network, the local applications, and the resources the user already has access to. There is no server to provision, no Postgres to host, no Docker compose file to maintain, no compute units to budget. The same person who writes the script can hand the resulting Task to a colleague who has never seen a terminal, and that colleague can run it from a clean UI on their own machine. The unit of automation in Robogator is the workstation, not the workspace.
Key Feature Comparison
| Feature | Robogator | Windmill |
|---|---|---|
| Architecture | Windows desktop application | Server-based (Docker / Kubernetes) with workers and Postgres |
| Cost | Free tier; paid Master Plan for advanced features | Free Community Edition (AGPLv3); paid Team and Enterprise plans |
| Platform | Windows (incl. ARM); fully native | Self-hosted on Linux containers, or Windmill Cloud |
| Scripting Languages | C#, Python, PowerShell | TypeScript, Python, Go, Bash, SQL, PowerShell, Rust, PHP, Ruby, R, C#, plus any Docker image |
| Where Code Runs | Locally on the user's machine | On server-side workers, separate from the user's machine |
| Infrastructure Required | None | Postgres database; Docker or Kubernetes for self-host |
| Cloud Dependency | None (fully local) | Optional Windmill Cloud, or fully self-hosted server |
| Multi-User / Team Workspaces | Single-user, per-machine | Multi-tenant workspaces with RBAC, SSO, audit logs |
| Parallel Execution | True multithreading on the local machine | Distributed workers across a fleet, autoscaling |
| Auto-Generated UI from Code | Auto-generated descriptions for Tasks | Auto-generated forms from script parameters |
| Visual Flow Builder | Tasks compose through scripting | Drag-and-drop flow editor for chaining steps |
| App Builder / Custom UI | Modern desktop task management UI | Low-code app editor for building dashboards |
| Triggers | Manual, scheduled | Manual, scheduled (cron), webhooks, email, Slack, CLI |
| Task Library / Marketplace | Cosmos app store with certified ready-made tasks | hub.windmill.dev community library |
| Open Source | No | Yes (AGPLv3 core; Enterprise features proprietary) |
| Setup Time | Install and run | Provision Postgres, deploy server and workers, configure access |
| Designed For | Anyone, with AI-assisted scripting, not just developers | Engineering and DevOps teams building internal tools at scale |
Where the Work Runs
Architecture is the defining difference between these two tools, and almost everything else flows from it. Windmill workers live on a server. When a script runs, it runs in a worker process somewhere else: a container on a VPS, a pod in Kubernetes, a managed instance in Windmill Cloud. That worker does not have access to your laptop's file system, your mapped network drives, the Outlook profile on your machine, or the desktop applications you have installed. It has access to whatever the server has access to, which is great for hitting databases, calling APIs, and processing data that already lives in shared infrastructure. It is not designed for automating the workstation.
Robogator runs on the workstation. When a Task executes, it executes in the user's own session with the user's permissions, against the user's local resources. If you need to read a CSV from someone's Downloads folder, parse an Excel file that lives on their OneDrive, drive a desktop application, or interact with a network share that is only mapped on their machine, Robogator does that natively because the script is running there. For workstation automation, this is the right shape. For server-side workflow orchestration, Windmill is the right shape. Neither one is trying to do the other's job.
Deployment and Operations
Standing up Windmill for a team is real work. The minimum viable setup is a Postgres database, a Windmill server container, and at least one worker container, exposed through a reverse proxy with TLS termination. Production-grade deployments add worker groups, S3 or Azure Blob storage for large files, SSO and SAML configuration, and Git sync for version control. Once running, that infrastructure becomes something the team has to operate: backups, upgrades, certificate rotation, scaling decisions. Enterprise Edition adds a license key, a compute-unit budget, and a customer portal for managing the subscription. None of this is unreasonable for a team that wants a centrally orchestrated platform, but it is real operational weight.
Robogator deploys by installing it. There is no database to provision, no container to orchestrate, no certificate to renew, no compute unit to track. The Windows installer puts the application on the machine, and from there a developer writes Tasks and a non-technical user runs them. Updates ship as application releases. The trade-off is honest: Robogator does not centralize state across a team, does not provide a shared workspace, does not aggregate audit logs from multiple machines into one console. For the use cases it targets, it does not need to.
Scripting Languages and Developer Experience
Windmill's language coverage is exceptionally broad. TypeScript, Python, Go, Bash, SQL, PowerShell, Rust, PHP, Ruby, R, C#, and any Docker image that runs your code: if your team has language preferences scattered across the engineering organization, Windmill probably already supports them. The web IDE provides immediate feedback, dependencies are resolved automatically, and scripts can be written either directly in the browser or locally with the CLI and synced via Git.
Robogator narrows this deliberately to three languages that cover the Windows automation problem: C#, Python, and PowerShell. C# tasks have the entire .NET ecosystem and direct access to Windows APIs. Python tasks bring pandas, requests, and the rest of PyPI. PowerShell tasks integrate natively with Windows services, the registry, Active Directory, and Microsoft 365. The narrower surface reflects what Robogator is for: a Windows automation platform does not need Ruby support, but it needs first-class C# and PowerShell support, and that is what it has.
UI for Code and UI for Users
Windmill turns a script's parameter signature into a form on a web page. Anyone with the right permissions in the workspace can open that form in a browser and trigger the script. This is one of Windmill's strongest features and a real reason teams adopt it. Building richer dashboards is done through the low-code app editor, which lets developers compose drag-and-drop components against the same backend runnables.
Robogator's UI lives on the desktop and is built around Task management rather than per-script parameter forms in a browser. The Cosmos app store provides certified, ready-made Tasks that a non-technical user can install and run without writing code. Auto-generated descriptions translate each script into plain language so users can search their Task library by intent rather than by filename. For the audience Robogator targets, the customers of developers who need to run automation reliably on their own machines, the desktop interface is the right vehicle.
Cosmos vs. The Hub
Both products solve the "don't reinvent the wheel" problem, but they go about it differently. Windmill maintains hub.windmill.dev as a community library where users publish scripts, flows, and resource types that others can import into their workspaces. The model is open and developer-driven, similar to npm for automation snippets.
Robogator's Cosmos app store is a curated, certified marketplace of ready-made automation tasks. The emphasis on certification reflects the audience: when a non-technical user installs a Task and runs it on their workstation, they need confidence that the Task does what it says and nothing else. Cosmos is designed for that confidence, not only for sharing snippets between engineers.
Privacy and Data Locality
Windmill is open source and self-hostable, which means a team that needs full data locality can run it entirely inside its own perimeter. Done correctly, no data leaves the organization. The Cloud option is convenient but optional; many of Windmill's enterprise users run on-premises or in their own VPC for exactly this reason.
Robogator is local by default and by design. There is no cloud component to opt out of. Data the Task touches stays on the machine the Task runs on. For users who need automation that handles sensitive files on a single workstation without ever leaving it, this is a stronger guarantee than self-hosting a server can offer, because there is no server.
When to Use Which
Choose Robogator if:
- The automation needs to touch the local file system, applications, or user session on a Windows machine
- A non-technical user needs to install and run the automation on their own workstation
- You want to ship automation to clients or colleagues without provisioning shared infrastructure
- You need true local multithreading without a sandbox or compute-unit budget
- C#, Python, and PowerShell cover your scripting needs
Choose Windmill if:
- You are building internal tools that an engineering team will share across a workspace
- The work belongs on a server rather than on someone's laptop, with web-based access for the team
- You need a multi-user platform with RBAC, SSO, and centralized audit logs
- Your team uses a wide range of languages (TypeScript, Go, Rust and others) beyond the Windows trio
- You want a visual flow editor and an app builder for dashboards on top of your scripts
Summary
Windmill and Robogator both turn code into reusable, schedulable, parameterized work, and both let developers ship automation that non-developers can consume through a UI. The architectural divide is the whole story. Windmill is a server-side orchestration platform: the workers live on infrastructure, the workspace is the team, and the value comes from centralizing a team's scripts behind one consistent web layer. Robogator is a desktop automation platform: the executor is the user's own machine, the surface is the Windows workstation, and the value comes from putting reliable automation directly into the hands of the people whose desktops it needs to run on.
If your team is building internal tools to share through a browser, run by people across an engineering organization, against shared infrastructure, Windmill is engineered for that. If your automation needs to live on the workstation, run against local resources, and reach users who do not operate servers, Robogator is engineered for that. They are not the same product solving the same problem with different feature lists. They are different shapes of automation, and the right answer depends on where the work needs to happen.