Promptfoo vs UpTrain
Side-by-side comparison of two AI agent tools
Short answer
- UpTrain has had no commit in 26 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 UpTrain.
- Pick Promptfoo for: open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps. Pick UpTrain for: open-source platform to evaluate and improve generative AI applications with 20+ preconfigured evaluations.
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Promptfooopen-source
Open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps
UpTrainopen-source
Open-source platform to evaluate and improve generative AI applications with 20+ preconfigured evaluations
Metrics
| Promptfoo | UpTrain | |
|---|---|---|
| Stars | 25.7k | 2.4k |
| Star velocity /mo | 1.1k | 4.285714285714286 |
| Commits (90d) | 920 | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.8742860723201702 | 0.19094120364152495 |
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
- +Open-source platform with active community support and transparency
- +Comprehensive evaluation framework with 20+ preconfigured checks covering multiple AI use cases
- +Unified platform approach that handles both evaluation and improvement recommendations
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
- -May require technical expertise to implement and configure effectively
- -Evaluation accuracy depends on the quality and relevance of preconfigured checks
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
- •Evaluating LLM application performance before production deployment
- •Systematic testing of code generation and language processing AI models
- •Quality assurance for embedding-based applications and retrieval systems
FAQ
- Which is more popular, Promptfoo or UpTrain?
- Promptfoo has more GitHub stars (25,665 vs 2,366).
- Which is more actively developed, Promptfoo or UpTrain?
- Promptfoo had more commits in the last 90 days (920 vs 0).
- Should I use Promptfoo or UpTrain?
- 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.