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
⭐ 166759 · TypeScript · Last activity on GitHub: 2026-01-06
GitHub: https://github.com/n8n-io/n8n
Why it matters for engineering teams
n8n addresses the practical challenge of automating complex workflows that involve multiple APIs and data sources, allowing engineering teams to streamline repetitive tasks without sacrificing customisation. It is particularly suited for machine learning and AI engineering teams who need to integrate various services and automate data flows in a reliable and maintainable way. With over 400 integrations and support for both visual workflow building and custom code, n8n offers a mature, production ready solution that can be self hosted or deployed in the cloud. However, it may not be the best choice for teams seeking a fully managed no-code platform or those with minimal development resources, as it requires some technical expertise to configure and maintain effectively.
When to use this project
n8n is a strong choice when teams require an open source tool for engineering teams that supports complex API integrations and workflow automation with flexibility. Consider alternatives if your priority is a fully managed service with minimal setup or if you need a platform tailored exclusively to low-code users without coding capabilities.
Team fit and typical use cases
Machine learning and AI engineers benefit most from n8n by using it to automate data pipelines, orchestrate model training workflows, and integrate diverse services. Development and integration teams also use it as a self hosted option for workflow automation in production environments, often within products that demand customisable, scalable automation solutions across multiple systems.
Best suited for
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2026-01-06. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.