Promptfoo vs VisionAgent
Side-by-side comparison of two AI agent tools
Short answer
- VisionAgent has had no commit in 13 months; Promptfoo is actively maintained (920 commits in the last 90 days).
- Promptfoo is growing faster: +1,112 GitHub stars in the last 30 days vs +4 for VisionAgent.
- Pick Promptfoo for: open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps. Pick VisionAgent for: this tool has been deprecated.
From GitHub data refreshed daily.
Promptfooopen-source
Open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps
VisionAgentopen-source
This tool has been deprecated. Use Agentic Document Extraction instead.
Metrics
| Promptfoo | VisionAgent | |
|---|---|---|
| Stars | 25.7k | 5.3k |
| Star velocity /mo | 1.1k | 4.444444444444445 |
| Commits (90d) | 920 | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.8742860723201702 | 0.19225904557609588 |
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
- +Automated vision model selection and code generation from simple prompts and images
- +Integrated with multiple AI providers (Anthropic and Google) for robust visual reasoning capabilities
- +Included local webapp interface for easy testing and experimentation
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
- -Tool has been officially deprecated and is no longer supported or maintained
- -Required multiple external API keys (Anthropic and Google) adding complexity and cost
- -Limited to Python 3.9+ environments restricting compatibility with older systems
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
- •Rapid prototyping of computer vision applications from image-based requirements
- •Automated generation of vision processing code for developers without deep ML expertise
- •Educational exploration of visual AI capabilities through interactive prompt-to-code workflows
FAQ
- Which is more popular, Promptfoo or VisionAgent?
- Promptfoo has more GitHub stars (25,665 vs 5,305).
- Which is more actively developed, Promptfoo or VisionAgent?
- Promptfoo had more commits in the last 90 days (920 vs 0).
- Should I use Promptfoo or VisionAgent?
- 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.