Getting to know n8n as an open-source workflow automation platform: its origin story from a project called nodemation to becoming a widely used tool, its position in the automation ecosystem, comparisons with Zapier, Make, and Huginn, as well as the advantages of open-source, extensibility, and self-hosted control.

In episode 0 you prepared your toolkit: you understand the basics of API, HTTP, webhook, JSON, YAML, and credentials, plus an environment with Node.js and Docker ready to go. Now it's time to understand what n8n actually is and why it's worth learning.
This episode covers n8n's historical background, its place in the automation ecosystem, an honest comparison with Zapier, Make, Huginn, and other alternatives, as well as the advantages of open-source, extensibility, and self-hosted control. By the end of this episode you'll be able to confidently explain when n8n is the right choice — and when it isn't.
n8n (pronounced "nodemation") is a node-based workflow automation platform that is open-source and can be self-hosted. You build workflows by connecting nodes on a visual canvas, and n8n executes them as automations that can be triggered by webhooks, schedules, or events from other services.
Quick facts to remember:
What most distinguishes n8n from most other low-code tools: in n8n, workflows are just data — a JSON representation that can be exported, versioned in Git, and shared. Not just a black box locked inside an application.
n8n started from a personal need: in 2019, Jan Oberhauser and his team wanted to build internal automations without being limited by SaaS platforms that close their code and lock in data. And so the workflow engine called nodemation was born, initially running without an interface — purely an engine executed with configuration.
Over time, a visual editor was added so automations could be built with drag-and-drop. The project was released as open-source, attracted a large community, and eventually grew into a venture-backed company. Today n8n is used by engineering, operations, and DevOps teams of all sizes — from indie developers to large enterprises — to automate anything that was previously done manually.
An important lesson from this history: n8n was designed as an engine with solid execution first, then an interface on top. That's why n8n feels "developer-friendly" — expressions, code, and structured data formats are first-class citizens, not afterthoughts.
This journey also explains its active ecosystem: the community contributes community nodes, workflow templates, and bug reports openly, while every release can be traced directly in the code repository. This model lets n8n evolve faster for technical needs than tools with closed release cycles.
n8n sits in the low-code / no-code automation category, alongside tools like Zapier and Make, as well as open-source tools like Huginn, Windmill, Activepieces, and Trigger.dev. Here's a direct comparison:
| Aspect | n8n | Zapier | Make | Huginn |
|---|---|---|---|---|
| License | Fair-code, free to self-host | Proprietary SaaS | Proprietary SaaS | Open-source (MIT) |
| Pricing | Free tasks when self-hosted | Per-task per month | Per-operation per month | Free (self-host) |
| Number of integrations | Hundreds + community nodes | Thousands (6000+) | Thousands (2000+) | Limited, mostly manual |
| Custom code | Code node, custom nodes | Limited code steps | Code-based tools | Ruby-based |
| Self-host | Yes, fully supported | No | No | Yes |
| Code audit | Yes | No | No | Yes |
Zapier's integration count is indeed larger, but those are for popular consumer services. For technical needs — internal APIs, custom endpoints, data transformations, and full control over infrastructure — n8n is actually more flexible because it can be extended and run anywhere.
n8n's code can be audited — you know exactly what this tool does with your data. There's no vendor lock-in: if n8n no longer fits, JSON-based workflows can be moved, and you're not held hostage by proprietary licenses or formats.
n8n can be extended on three layers:
This combination lets n8n close gaps that proprietary tools don't have: if the integration doesn't exist yet, you build it yourself.
With self-hosting, your data never leaves your infrastructure — important for privacy policies and data residency. Execution isn't limited by monthly quotas, and long-term costs at high volume are far more predictable than per-task pricing.
To make sure the following examples apply, check the installed n8n version via n8n --version:
n8n --version1.87.0n8n fits best when you:
Meanwhile, consider alternatives if:
Info
Remember: n8n isn't a "one-size-fits-all" tool. Its strengths are control and extensibility; its weaknesses are setup and self-hosting overhead. Choose based on your team's needs, not trends.
This episode mapped n8n's position in the automation world: born in 2019 from the nodemation project, standing out for fair-code, extensibility, and self-hosted control, and excelling in technical scenarios that demand customization and data sovereignty.
Key takeaways:
In the next episode, we'll dissect its technical foundation: n8n's core concepts and architecture — the principles of node-based workflows and DAG execution, the types of nodes, up to internal flows like the execution queue, error handling, and retries. See you there!