Which is more popular, PentAGI or Promptfoo?

Promptfoo has more GitHub stars (25,640 vs 25,199).

Which is more actively developed, PentAGI or Promptfoo?

Promptfoo had more commits in the last 90 days (913 vs 311).

Should I use PentAGI or Promptfoo?

Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.

PentAGI vs Promptfoo

Side-by-side comparison of two AI agent tools

Short answer

Pick PentAGI for: fully autonomous AI Agents system capable of performing complex penetration testing tasks. 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.

PentAGIopen-source

Fully autonomous AI Agents system capable of performing complex penetration testing tasks

Promptfooopen-source

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

Metrics

	PentAGI	Promptfoo
Stars	25.2k	25.6k
Star velocity /mo	765	1.1k
Commits (90d)	311	913
Releases (6m)	2	10
Overall score	0.7687359680048651	0.8742860723201702

Pros

+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

Cons

-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

Use Cases

•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

View PentAGI Details View Promptfoo Details

FAQ

Which is more popular, PentAGI or Promptfoo?: Promptfoo has more GitHub stars (25,640 vs 25,199).
Which is more actively developed, PentAGI or Promptfoo?: Promptfoo had more commits in the last 90 days (913 vs 311).
Should I use PentAGI or Promptfoo?: Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.