Which is more popular, n8n or Promptfoo?

n8n has more GitHub stars (206,500 vs 25,640).

Which is more actively developed, n8n or Promptfoo?

n8n had more commits in the last 90 days (3,663 vs 913).

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

n8n is growing faster: +3,991 GitHub stars in the last 30 days vs +1,112 for Promptfoo.
Pick n8n for: fair-code workflow automation platform with native AI capabilities. Pick Promptfoo for: open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps.

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.

Promptfooopen-source

Open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps

+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

+Comprehensive testing suite covering both performance evaluation and security red teaming in a single tool
+Multi-provider support with easy comparison between OpenAI, Anthropic, Claude, Gemini, Llama and dozens of other models
+Strong CI/CD integration with automated pull request scanning and code review capabilities for production deployments

-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 API keys and credits for multiple LLM providers, which can become expensive for extensive testing
-Command-line focused interface may have a learning curve for teams preferring GUI-based tools
-Limited to evaluation and testing - does not provide actual LLM application development capabilities

•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

•Automated testing and evaluation of prompt performance across different models before production deployment
•Security vulnerability scanning and red teaming of LLM applications to identify potential risks and compliance issues
•Systematic comparison of model performance and cost-effectiveness to optimize AI application architecture

Which is more popular, n8n or Promptfoo?: n8n has more GitHub stars (206,500 vs 25,640).
Which is more actively developed, n8n or Promptfoo?: n8n had more commits in the last 90 days (3,663 vs 913).
Should I use n8n or Promptfoo?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.