LMQL vs Promptfoo

Side-by-side comparison · Updated April 2026

 LMQLLMQLPromptfooPromptfoo
DescriptionLMQL is a programming language tailored for large language models (LLMs). It offers robust and modular LLM prompting through the use of types, templates, constraints, and an optimizing runtime. It simplifies the creation of complex prompts by allowing procedural programming techniques in a query-like syntax. Created by the SRI Lab at ETH Zurich, LMQL supports features such as nested queries, scripted prompting, and custom constraints. It also provides a Playground IDE for ease of use.Promptfoo is an open-source tool designed to ensure the security and reliability of LLM (Large Language Models) applications. It offers a comprehensive vulnerability scanner specifically tailored to each LLM product, providing customized probes for detecting PII leaks, unauthorized prompt manipulations, and other critical failures. With capabilities like caching, concurrency, and detailed vulnerability reports, Promptfoo allows developers to build, test, and refine LLM applications efficiently with test-driven development rather than trial-and-error.
CategoryOtherSecurityApplication
RatingNo reviewsNo reviews
PricingN/AN/A
Starting PriceN/AN/A
Use Cases
  • Developers
  • Researchers
  • Data Scientists
  • AI Practitioners
  • Developers of LLM applications
  • Security Analysts
  • Open-Source Contributors
  • Large Organizations
Tags
programming languagelarge language modelstypestemplatesconstraints
open-sourcesecurityreliabilityLLMvulnerability scanner
Features
Nested Queries
Scripted Prompting
Custom Constraints
Optimizing Runtime
Playground IDE
Local Model Support
Tool Augmentation
High-level Constraint Management
Sequential Query Execution
Integration with Popular Libraries
Open-source
Customized vulnerability probes
Detection of PII leaks
Protection against unauthorized prompt manipulations
Prevention of jailbreaks
Detailed vulnerability reports
Support for multiple LLM API providers
Local operation without cloud dependencies
Test-driven LLM development
Community-supported
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