Windmill vs n8n(2026)
Windmill is better for teams that need excellent for internal tooling. n8n is the stronger choice if free to self-host. Windmill is open-source (from $0) and n8n is open-source (from $20/mo).
Full feature breakdown, pricing details, and pros & cons below.
By Bikram NathLast updated
Affiliate disclosure: Some “Visit” links on this page are affiliate links. We may earn a commission if you sign up — at no extra cost to you. It does not affect our rankings or editorial coverage. Learn more.
Windmill
Windmill is an open-source developer platform to build internal tools, workflows, and scripts. Write scripts in Python/TypeScript, chain them visually, and share with your team.
Starting at $0
Visit Windmilln8n
n8n is a fair-code automation platform that lets developers build complex workflows with a visual editor, JavaScript/Python expressions, and 400+ integrations — all self-hostable for free.
Starting at $20/mo
Visit n8nHow Do Windmill and n8n Compare on Features?
| Feature | Windmill | n8n |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $20/mo |
| Open source | ✓ | — |
| Script editor (Python/TS/Go/Bash) | ✓ | — |
| Visual flow builder | ✓ | — |
| Auto-generated UIs | ✓ | — |
| Job queuing | ✓ | — |
| Secret management | ✓ | — |
| Self-hostable | ✓ | ✓ |
| 400+ integrations | — | ✓ |
| Code nodes (JS/Python) | — | ✓ |
| Visual editor | — | ✓ |
| Webhook triggers | — | ✓ |
| AI agent nodes | — | ✓ |
| Custom credentials | — | ✓ |
Windmill Pros and Cons vs n8n
Windmill
n8n
Deep dive: Windmill
When to choose Windmill
Windmill is the right pick when the team needs to build internal tools, background jobs, and workflow automations in a code-first environment with the bonus of auto-generated UIs from scripts. It is strongest for engineering teams that already write Python, TypeScript, Go, or Bash scripts to automate internal processes and want a managed execution environment with a visual flow builder, job queuing, and secret management baked in. Unlike n8n, which leans toward SaaS-to-SaaS integrations, Windmill leans toward infrastructure automation, ETL pipelines, and internal tooling. The auto-generated UI feature turns any script into a shareable internal app with form inputs and output display, eliminating the need for a separate Retool or Appsmith deployment for simple admin tasks. Choose Windmill when the team's automation needs are more about running code reliably than connecting marketing SaaS tools. Avoid it when the team is non-technical or when the primary use case is connecting Salesforce to Slack.
Real-world use case
A data engineering team at a 50-person company deploys Windmill on their Kubernetes cluster to replace a collection of cron jobs and ad-hoc Python scripts. One flow pulls data from three PostgreSQL databases nightly, transforms it in a Python step using pandas, and writes the results to a Snowflake data warehouse. Another flow generates a weekly PDF report from a TypeScript script and emails it to stakeholders via the Resend API. The auto-generated UI lets the finance team trigger an ad-hoc report with custom date parameters without filing an engineering ticket. Total cost: /bin/zsh for the self-hosted community edition. The tradeoff: the team spent two days migrating existing cron jobs to Windmill flows, writing the YAML definitions, and configuring secret management. The Windmill-specific syntax for input/output schemas and resource types required reading documentation that is less extensive than n8n's or Zapier's.
Hidden gotchas
The learning curve for Windmill's type system and resource model is steeper than it appears. Every script must declare its input parameters with types, and the auto-generated UI reflects these types. Getting the type annotations right for complex nested objects requires understanding Windmill's custom type syntax, which differs from standard TypeScript or Python type hints. The flow builder uses a YAML-based definition that can be version-controlled, which is a strength, but editing flows in the UI and then exporting to YAML can produce merge conflicts when multiple team members work on the same flow. Job queue priority and concurrency limits are configurable but default to values that may not suit high-throughput workloads. Workers run in isolated environments, and the cold start for a Python worker that needs to install dependencies can take 10-30 seconds on the first execution. The SaaS integration library is intentionally minimal: Windmill expects developers to use HTTP requests or the native language SDKs rather than providing pre-built connectors for every SaaS tool.
Pricing breakdown
Windmill's free Community plan includes 1,000 executions/mo. The Team plan at $10/user/mo includes unlimited executions. Enterprise is custom-priced. Self-hosted is free and open-source under AGPLv3. The unique value: Windmill handles scripts (Python, TypeScript, Go, Bash), flows, and apps in one platform — replacing separate tools for automation, internal tooling, and workflow orchestration. A self-hosted instance costs $5-20/mo for infrastructure. The cost comparison: at 10K+ automations/mo, Windmill's unlimited Team plan ($10/user) is dramatically cheaper than Zapier ($49/mo for 2K tasks) or Make ($9/mo for 10K ops).
Deep dive: n8n
When to choose n8n
n8n is the right pick when the team has at least one developer comfortable with self-hosting and wants to eliminate per-task or per-operation billing entirely. It runs on a single Node.js process with a SQLite or PostgreSQL backend, meaning a per month VPS can handle thousands of workflow executions daily. The code-first philosophy, with JavaScript and Python nodes alongside a visual editor, makes it the strongest choice for teams that need to embed custom logic, call internal APIs with authentication, or transform data in ways that no-code platforms cannot express. n8n also wins on data sovereignty: self-hosted means credentials and data never leave the team's infrastructure, which matters for teams processing PII, financial data, or operating under GDPR constraints. The AI agent nodes introduced in 2025 allow building agentic workflows that call LLMs, use tools, and maintain memory, making n8n competitive as a lightweight AI orchestration layer. Avoid n8n when the team is entirely non-technical, when there is no appetite for managing a server, or when the integration must work out of the box with zero configuration for mainstream SaaS tools that Zapier handles natively.
Real-world use case
A developer at a 30-person startup self-hosts n8n on a Railway instance at per month to automate their entire internal tooling layer. One workflow monitors a PostgreSQL table for new support tickets via a cron trigger, enriches each ticket with customer data from the CRM via an HTTP request node, classifies the priority using a Claude API call in a code node, and routes high-priority tickets to a Slack channel while logging everything to a Google Sheet. Another workflow runs nightly, pulling analytics from PostHog via API, computing weekly metrics in a JavaScript function node, and sending a formatted Slack digest to the team. The total monthly cost is for Railway. The same setup on Zapier would cost roughly per month due to the multi-step task consumption. The tradeoff: the developer spent a full day setting up n8n, configuring the reverse proxy, setting up basic auth, and writing the initial workflows. If that developer leaves, the knowledge of how the workflows are structured lives in the n8n database and requires another developer to maintain.
Hidden gotchas
Self-hosted n8n stores workflow definitions and credentials in a database that is not version-controlled by default. If the VPS disk fails or the database is accidentally dropped, all workflows are lost unless the team has configured regular database backups. The n8n CLI can export workflows to JSON, but automating that export is a manual setup step that most teams skip. Memory consumption is the second surprise: n8n runs all workflows in a single Node.js process, and workflows that process large datasets, such as iterating over thousands of webhook payloads, can cause the process to exceed the VPS memory limit and crash. The cloud plan at per month mitigates this with managed infrastructure but caps executions and adds per-execution pricing above the base tier. The community node ecosystem is less curated than Zapier's integration catalog: some community nodes have not been updated in months and may break on n8n version upgrades. Credential encryption uses a key stored in an environment variable, and if that key is lost or changed, all stored credentials become unreadable. The visual editor's learning curve is steeper than Zapier's for non-developers, and the documentation sometimes lags behind the latest release for community-contributed nodes.
Pricing breakdown
n8n's self-hosted Community Edition is free and open-source (Sustainable Use License). n8n Cloud starts at €20/mo for 2,500 workflow executions. The Pro plan at €50/mo includes 10,000 executions and advanced features (source control, environments). Enterprise is custom-priced. Self-hosting on a $5-12/mo VPS handles unlimited executions. The cost comparison with Zapier: n8n's Pro at €50/mo replaces Zapier's Professional at $49/mo but includes 10x more executions (10K vs 2K tasks). The limitation: n8n Cloud execution limits are per-month, not per-workflow, so a single chatty workflow can consume the entire quota.
Should You Use Windmill or n8n?
For most teams, Windmill is the better default: it offers excellent for internal tooling and is open-source (from $0). Choose n8n instead if free to self-host matters more than steeper learning curve. There is no universal winner — the right pick depends on your budget, team size, and whether you value excellent for internal tooling or free to self-host more.
Choose Windmill if…
- •Excellent for internal tooling
- •Auto-generates UIs from scripts
- •Free self-hosted
Choose n8n if…
- •Free to self-host
- •Full code access
- •Strong developer focus