n8n open source analysis

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Project overview

⭐ 156559 · TypeScript · Last activity on GitHub: 2025-11-15

GitHub: https://github.com/n8n-io/n8n

Why it matters for engineering teams

n8n addresses the practical challenge of automating workflows and integrating diverse systems without extensive custom development. It is particularly suited for machine learning and AI engineering teams who need to orchestrate data flows and API interactions efficiently. As a mature and production ready solution, n8n offers over 400 integrations and supports both visual workflow building and custom code, making it flexible for complex, real-world use cases. Its self hosted option provides control over data and infrastructure, which is essential for teams with strict compliance needs. However, it may not be the best choice for teams seeking a fully no-code platform or those requiring enterprise-grade support and SLAs out of the box.

When to use this project

Choose n8n when your team requires a flexible, open source tool for engineering teams to automate workflows with a mix of low-code and custom scripting. Consider alternatives if you need a purely no-code solution or vendor-managed cloud services with guaranteed uptime and support.

Team fit and typical use cases

Machine learning and AI engineers benefit most from n8n by using it to automate data pipelines, integrate APIs, and manage complex workflows in their projects. It commonly appears in products where workflow automation and system integration are key, such as AI platforms and data-driven applications. Its self hosted option allows teams to maintain control over sensitive data while accelerating development.

Best suited for

Topics and ecosystem

ai apis automation cli data-flow development integration-framework integrations ipaas low-code low-code-platform mcp mcp-client mcp-server n8n no-code self-hosted typescript workflow workflow-automation

Activity and freshness

Latest commit on GitHub: 2025-11-15. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.