agentic-radar vs Promptfoo
Side-by-side comparison of two AI agent tools
Short answer
- agentic-radar has had no commit in 10 months; Promptfoo is actively maintained (920 commits in the last 90 days).
- Promptfoo is growing faster: +1,110 GitHub stars in the last 30 days vs +19 for agentic-radar.
- Pick agentic-radar for: a security scanner for your LLM agentic workflows. 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.
agentic-radaropen-source
A security scanner for your LLM agentic workflows
Promptfooopen-source
Open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps
Metrics
| agentic-radar | Promptfoo | |
|---|---|---|
| Stars | 1.1k | 25.7k |
| Star velocity /mo | 19.26315789473684 | 1.1k |
| Commits (90d) | 0 | 920 |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 5.3K | 3.0M |
| Overall score | 0.20717140935755865 | 0.8639349362705032 |
Pros
- +Specialized focus on LLM agentic workflow security vulnerabilities that traditional scanners miss
- +Includes built-in visualization tools for clear security assessment reporting and analysis
- +Integrates with popular frameworks like CrewAI and provides easy PyPI installation
- +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
- -Appears to be a relatively new tool with limited documentation visibility from the provided materials
- -May require specialized knowledge of agentic systems to effectively interpret and act on scan results
- -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
- •Security assessment of autonomous AI agent systems before production deployment
- •Compliance auditing for organizations using LLM-powered workflows in regulated industries
- •Continuous security monitoring of agentic systems to detect emerging vulnerabilities
- •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
FAQ
- Which is more popular, agentic-radar or Promptfoo?
- Promptfoo has more GitHub stars (25,665 vs 1,057).
- Which is more actively developed, agentic-radar or Promptfoo?
- Promptfoo had more commits in the last 90 days (920 vs 0).
- Should I use agentic-radar 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.