Windmill vs Activepieces: Which Automation Platform Fits Your Team?

Windmill vs Activepieces: The Fundamental Split

Activepieces and Windmill solve the same problem — workflow automation — but they approach it from opposite ends.

Windmill is code-first. You write scripts in Python, TypeScript, Go, Bash, SQL, or PowerShell. Windmill turns those scripts into workflows, APIs, and internal tools. Built for engineers and data teams.

Activepieces is connector-first. You drag and drop pre-built integrations (280+ connectors) to build workflows. No coding required. Built for business users, ops teams, and non-technical founders.

Both are open source. Both can be self-hosted. The choice comes down to your team's skill set and what you are automating.

Why This Matters

If your team writes code, Windmill gives you power and flexibility. If your team avoids code, Activepieces moves faster.

Neither is better. They are different tools for different jobs. This page helps you see which one fits your team, your budget, and your lock-in tolerance.

Feature Comparison: Windmill vs Activepieces

The Trade-Off

Windmill's code-first approach gives you power. You can do anything a script can do. But building flows is slower because you are writing code.

Activepieces' connector-first approach is faster for common use cases. 280+ connectors mean you rarely hit a wall. But extending beyond the connectors requires custom code or API calls.

Windmill lets you call REST APIs for missing integrations. Activepieces lets you write JavaScript in flows. The difference is where each platform's comfort zone is.

Pricing: Activepieces vs Windmill

Activepieces Pricing

Activepieces uses a credit-based model. You buy a credit pool and workflows consume credits as they run. AI steps cost extra credits.

Overages cost $0.007 per credit. If you run more flows than your plan allows, you pay more.

Windmill Pricing

Windmill uses a seat-based model. Pricing varies by developers, operators, and compute resources. Exact per-seat rates require contacting sales.

Windmill does not publicly list exact per-developer rates. You need to contact their sales team for a custom quote.

Cost Impact: Which Is Cheaper?

Small teams (1-3 people):

• Activepieces Plus: $20/mo
• Windmill Enterprise: From $120/mo minimum
• Winner: Activepieces (6x cheaper)

Medium teams (5+ developers):

• Cost depends on Windmill's actual per-developer rate
• Contact Windmill for a quote to compare

The Pricing Story

Activepieces advantage: Transparent, simple, cheap to start. You see the price upfront. The $20/mo Plus tier is genuinely cheap for small ops teams.

Windmill advantage: Predictable cost at scale if you know your developer count. But you must contact sales to find out your actual bill.

Licensing & Lock-in: MIT vs AGPLv3

Both platforms are open-source. But their licenses differ in a crucial way for long-term commitments.

Activepieces: MIT License

MIT is permissive. You can modify it, redistribute it, embed it in commercial products, and change the license if you fork it. No obligations back to the original project.

Lock-in risk: Low. If you self-host Activepieces on MIT, your workflows are portable. You own the data. You can export flows and import them into another platform (though manual work is required). Legally, you have no friction to leave.

Windmill: AGPLv3 License

AGPLv3 is restrictive. You can modify and run it, but if you use your modifications over a network, you must open-source them.

Lock-in risk: Medium for platform companies, Low for in-house users. If you are a business running Windmill as-is (no modifications), AGPLv3 is not a barrier. But if you are a SaaS company embedding Windmill and customizing it, AGPLv3 means your customizations must be open-sourced.

What This Means in Practice

If you are a business user running either platform unmodified, license does not matter. Both are safe.

If you are a platform company embedding automation, MIT (Activepieces) is simpler. You can fork it and close the source without legal issues.

If you are a developer customizing Windmill, consult a lawyer. AGPLv3 has obligations you need to understand.

Self-Hosting & Data Portability

Both support full self-hosting. Both keep your data on your servers, not their vendors' servers.

• Activepieces: Flows export as JSON. Migrating requires converting flows to another platform's format (manual work).
• Windmill: Scripts are code in your Git repo. They are portable. Workflow orchestration is Windmill-specific, but the logic is yours.

Neither truly locks you in once self-hosted. But Activepieces' MIT license is legally simpler.

Which Platform for Your Team?

Choose Windmill If...

• Your team writes code (Python, TypeScript, Go, SQL, Bash, PowerShell)
• You are building ETL pipelines or data workflows
• You need to orchestrate complex multi-step processes (DevOps, data transformations)
• You want to replace Airflow or Apache Scheduler
• You are building internal tools that need auto-generated UIs from scripts
• You have heavy compute requirements

Example: A data team runs nightly ETL jobs. Windmill orchestrates Python scripts that extract from databases, transform data, and load it back. The team gets monitoring UIs without writing frontend code.

Choose Activepieces If...

• Your team avoids code or uses it minimally
• You are connecting SaaS tools (Salesforce, HubSpot, Slack, Gmail, Airtable)
• You need human approval steps in workflows
• You are building AI agent workflows (MCP server support)
• You are running simple automation (no heavy computing)
• You want to start cheap and scale as you grow

Example: An ops team automates CRM data sync. When a form submission comes in, Activepieces creates a Salesforce lead, sends a Slack notification, and files the data in Airtable. All no-code.

The Hybrid Approach

If your team uses both: Activepieces for SaaS connections and approvals. Windmill for data pipelines and infrastructure. You do not have to choose just one.

But if forced to pick: Does your team write code? Yes: Windmill. No: Activepieces.