Which is more popular, n8n or Open WebUI?

n8n has more GitHub stars (206,500 vs 153,800).

Which is more actively developed, n8n or Open WebUI?

n8n had more commits in the last 90 days (3,663 vs 1,515).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Pick n8n for: fair-code workflow automation platform with native AI capabilities. Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...).

From GitHub data refreshed daily.

n8nfree

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

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

+Hybrid approach combining visual workflow building with full JavaScript/Python coding capabilities when needed
+AI-native platform with LangChain integration for building sophisticated AI agent workflows using custom data and models
+Fair-code license ensures source code transparency with self-hosting options, providing data control and deployment flexibility

+Multi-provider AI integration supporting both local Ollama models and remote OpenAI-compatible APIs in a single interface
+Self-hosted deployment with complete offline capability ensuring data privacy and security control
+Enterprise-grade user management with granular permissions, user groups, and admin controls for organizational deployment

-Requires technical knowledge to fully leverage coding capabilities and advanced features
-Self-hosting demands infrastructure management and maintenance overhead
-Fair-code license restricts commercial usage at scale without enterprise licensing

-Requires technical expertise for initial setup and maintenance of Docker/Kubernetes infrastructure
-Self-hosting demands dedicated server resources and ongoing system administration
-Limited to local deployment model, lacking the convenience of managed cloud AI services

•Building AI agent workflows that process customer data using LangChain and custom language models
•Automating complex business processes that require both API integrations and custom business logic
•Creating data synchronization pipelines between multiple SaaS tools while maintaining full control over sensitive data through self-hosting

•Enterprise organizations deploying private AI assistants with strict data governance and user access controls
•Development teams building local AI workflows with multiple model providers while maintaining code and data privacy
•Educational institutions providing students and faculty with controlled AI access without external data sharing

Which is more popular, n8n or Open WebUI?: n8n has more GitHub stars (206,500 vs 153,800).
Which is more actively developed, n8n or Open WebUI?: n8n had more commits in the last 90 days (3,663 vs 1,515).
Should I use n8n or Open WebUI?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.