LLM Evaluation Tools Guide

Comprehensive Guide to AI Testing & Monitoring Platforms - Discover, compare, and choose the perfect evaluation solution for your needs

38

Total Tools

14

No-Code Platforms

12

Python Libraries

6

Voice Tools

21

Open Source

Informational Content Only

Disclaimer: We do not endorse, suggest, or recommend any of these evaluation tools. This guide provides informational content only to help you explore available options. You must evaluate and select the tools that work best for your specific needs, requirements, and use cases. Please conduct your own research and due diligence before making any decisions.

38 tools found

DeepEval

Open Source
4.9
7,000
Python LibraryFree

Most popular Python library for LLM evaluation with specialized hallucination detection capabilities.

Add LLM as judgeAdd test setsCompare different LLM models+1 more

About

DeepEval has become the go-to Python library for LLM evaluation, offering the perfect balance of ease-of-use and powerful features. With its specialized focus on hallucination detection and flexible LLM integration, it's the preferred choice for developers who need reliable evaluation in their Python workflows.

Key Benefits

  • Easiest to implement and use
  • Excellent hallucination detection
  • Strong community support
  • Regular updates and improvements

Capabilities

Add LLM as judgeAdd test setsCompare different LLM modelsEvaluate hallucinations

Integrations

OpenAIAnthropicAny Python-compatible LLMPytest

Best For

  • Python-based AI development
  • Hallucination detection
  • Research and experimentation
  • CI/CD integration

Limitations

  • Limited production monitoring features
  • No built-in versioning system

Pricing

Completely free and open-source

Agenta

Open Source
4.8
2,700
No-Code PlatformFrom $49/month

User-friendly LLM engineering platform with comprehensive evaluation capabilities for production use-cases.

Add your own test setsCompare LLM modelsCompare prompts side by side+2 more

About

Agenta stands out as the most intuitive LLM engineering platform, offering a complete toolkit for prompt engineering, versioning, evaluation, and observability. Built with production environments in mind, it provides systematic evaluation capabilities that make it easy to test, compare, and optimize your AI applications.

Key Benefits

  • Most user-friendly interface in the market
  • Comprehensive evaluation metrics
  • Production-ready monitoring
  • Strong community support

Capabilities

Add your own test setsCompare LLM modelsCompare prompts side by sideMonitoring/alertsVersion control

Integrations

OpenAIAnthropicCohereHugging FaceAzure OpenAI

Best For

  • Production LLM applications
  • Team collaboration on AI projects
  • Systematic prompt optimization
  • Multi-model performance comparison

Limitations

  • Limited advanced customization options
  • Learning curve for complex workflows

Pricing

Free tier available, Pro at $49/month, Enterprise at $399/month

LangFuse

Open Source
4.8
12,000
No-Code PlatformFrom $59/month

Full-stack LLM engineering platform for debugging, evaluating, and improving AI applications.

Add LLM as judgeCompare LLM modelsCompare prompts side by side+3 more

About

LangFuse provides a complete ecosystem for LLM application development, combining powerful debugging tools with comprehensive evaluation capabilities. Trusted by thousands of developers, it offers enterprise-grade security while maintaining an intuitive interface for both technical and non-technical users.

Key Benefits

  • Comprehensive platform coverage
  • Strong enterprise security
  • Active development community
  • Excellent documentation

Capabilities

Add LLM as judgeCompare LLM modelsCompare prompts side by sideHuman evaluationMonitoring/alertsVersion control

Integrations

OpenAILangChainLlamaIndexPython SDKJavaScript SDK

Best For

  • Enterprise AI development
  • Multi-team collaboration
  • Compliance-heavy industries
  • Large-scale deployments

Limitations

  • Complex UI for beginners
  • Limited built-in hallucination detection

Pricing

Free tier available, Pro at $59/month, Enterprise at $199/month

Hamming AI

4.8
Voice EvaluationCustom

Leading automated voice agent testing platform with comprehensive conversation simulation.

Automated AI Voice AgentProduction Call AnalyticsPrompt Management+3 more

About

Hamming AI revolutionizes voice agent testing by simulating thousands of concurrent phone calls to identify bugs and performance issues before they reach users. With the most comprehensive voice metrics in the industry, it's the go-to platform for voice AI quality assurance.

Key Benefits

  • Most comprehensive voice metrics
  • Scalable testing capabilities
  • Production-ready analytics
  • Expert voice AI team

Capabilities

Automated AI Voice AgentProduction Call AnalyticsPrompt ManagementPrompt OptimizerScenario SimulationVoice Experimentation Tracking

Integrations

TwilioOpenAIAnthropicCustom telephony systems

Best For

  • Voice assistant testing
  • Call center automation
  • Customer service optimization
  • Voice AI quality assurance

Limitations

  • Enterprise pricing only
  • Voice-specific use cases only

Pricing

Enterprise pricing based on usage and requirements

LangWatch

Open Source
4.7
1,900
No-Code PlatformFrom $59/month

Open-source evaluation platform with 40+ metrics for debugging and optimizing LLM applications.

Add LLM as judgeAdd your own test setsCompare LLM models+7 more

About

LangWatch offers the most comprehensive set of evaluation metrics in the industry, providing over 40 pre-built metrics for assessing LLM pipeline performance. As an open-source platform, it gives teams complete control over their evaluation processes while maintaining enterprise-grade security and compliance.

Key Benefits

  • Most comprehensive metric library
  • Enterprise-grade security compliance
  • Strong community and support
  • Flexible deployment options

Capabilities

Add LLM as judgeAdd your own test setsCompare LLM modelsCompare prompts side by sideEvaluate hallucinationsHuman evaluationLLM simulationsLatency/cost trackingMonitoring/alertsVersion control

Integrations

All major LLMsLangChainLlamaIndexHaystackCustom frameworks

Best For

  • Enterprise LLM evaluation
  • Research and development
  • Compliance monitoring
  • Multi-framework integration

Limitations

  • Can be overwhelming for simple use cases
  • Requires technical expertise for advanced features

Pricing

Free tier available, Pro at $59/month, Enterprise at $199/month

OpenAI Moderation

4.7
Security & ModerationFree

Free content safety classification for text and images with confidence scoring.

Compare LLM modelsJailbreak detection

About

OpenAI's Moderation API provides robust content classification capabilities, detecting harmful content across multiple categories including hate speech, violence, and self-harm. With its multi-modal support and confidence scoring, it's an essential tool for content safety.

Key Benefits

  • Completely free to use
  • High accuracy detection
  • Multi-modal support
  • Easy integration

Capabilities

Compare LLM modelsJailbreak detection

Integrations

OpenAI APICustom applicationsWeb platforms

Best For

  • Content moderation
  • Safety compliance
  • User-generated content filtering
  • Platform safety

Limitations

  • Limited to OpenAI ecosystem
  • Basic customization options

Pricing

Completely free to use with OpenAI API

Evidently AI

Open Source
4.7
6,200
Python LibraryFreemium

Open-source Python library with 100+ pre-made metrics for comprehensive ML and LLM evaluation.

Add LLM as judgeAdd test setsCompare different LLM models+2 more

About

Evidently AI offers one of the most comprehensive metric libraries in the industry, with over 100 pre-made metrics for ML and LLM evaluation. It's designed for both ad-hoc analysis and automated pipeline integration, making it versatile for various evaluation needs.

Key Benefits

  • Comprehensive metric library
  • Strong data science focus
  • Excellent drift detection
  • Both library and platform options

Capabilities

Add LLM as judgeAdd test setsCompare different LLM modelsEvaluate hallucinationsMonitoring/alerts from production

Integrations

MLOps platformsData science toolsMonitoring systems

Best For

  • Data science teams
  • Production ML monitoring
  • Data drift detection
  • Comprehensive model evaluation

Limitations

  • Complex for simple use cases
  • Requires ML/data science knowledge
  • Limited voice evaluation features

Pricing

Open-source library free, commercial platform available

Helicone

Open Source
4.6
3,900
No-Code PlatformFrom $20/month

Comprehensive observability platform for monitoring, debugging, and improving production LLM applications.

Add LLM as judgeAdd your own test setsCompare LLM models+6 more

About

Helicone provides end-to-end observability for LLM applications, offering powerful tools for monitoring performance, debugging issues, and improving model outputs in production environments. With its robust API and comprehensive analytics, it's designed for teams that need deep insights into their AI applications.

Key Benefits

  • Comprehensive production monitoring
  • Advanced cost optimization tools
  • Strong security features
  • Excellent API integration

Capabilities

Add LLM as judgeAdd your own test setsCompare LLM modelsCompare prompts side by sideEvaluate hallucinationsJailbreak detectionLatency/cost trackingMonitoring/alertsVersion control

Integrations

OpenAIAnthropicCohereLangChainLlamaIndex

Best For

  • Production LLM monitoring
  • Cost optimization
  • Performance debugging
  • Security monitoring

Limitations

  • Complex setup for beginners
  • Limited free tier usage

Pricing

Free tier available, Pro at $20/month, Enterprise at $200/month

LangSmith

4.6
Python LibraryFreemium

Comprehensive debugging and monitoring platform from the creators of LangChain.

Add LLM as judgeAdd test setsCompare different LLM models+3 more

About

Built by the LangChain team, LangSmith provides deep integration with the LangChain ecosystem while offering standalone capabilities for any AI application. It combines powerful debugging tools with comprehensive monitoring and evaluation features.

Key Benefits

  • Excellent LangChain integration
  • Powerful debugging capabilities
  • Strong ecosystem support
  • Regular feature updates

Capabilities

Add LLM as judgeAdd test setsCompare different LLM modelsEvaluate hallucinationsMonitoring/alerts from productionObserve latency/costs

Integrations

LangChainOpenAIAnthropicVarious vector databases

Best For

  • LangChain applications
  • Agent debugging
  • Production monitoring
  • Performance optimization

Limitations

  • Best suited for LangChain users
  • Limited free tier
  • Learning curve for non-LangChain projects

Pricing

Free tier available with usage limits, paid plans for production

Llama Guard 3

Open Source
4.6
5,000
Security & ModerationFree

Advanced content safety classification using Meta's 8B parameter language model.

Add LLM as judgeCompare LLM modelsJailbreak detection

About

Llama Guard 3 represents the cutting edge of content safety classification, using an 8B parameter language model to identify 14 categories of potential hazards. With multi-language support and optimization for safety-critical applications, it's designed for enterprise-grade content moderation.

Key Benefits

  • State-of-the-art accuracy
  • Multi-language support
  • Comprehensive hazard coverage
  • Open-source flexibility

Capabilities

Add LLM as judgeCompare LLM modelsJailbreak detection

Integrations

Hugging FaceCustom deploymentsCloud platforms

Best For

  • Enterprise content moderation
  • Multi-language platforms
  • Safety-critical applications
  • Custom moderation systems

Limitations

  • Requires significant computational resources
  • Complex setup for beginners

Pricing

Open-source model available for free use

Promptfoo

Open Source
4.6
7,000
No-Code PlatformFree

Open-source command-line tool for systematic prompt testing with comprehensive evaluation capabilities.

Add LLM as judgeAdd your own test setsCompare LLM models+3 more

About

Promptfoo is a powerful open-source tool designed for developers who prefer command-line interfaces for prompt testing. It offers comprehensive evaluation capabilities including red teaming and jailbreak detection, making it ideal for security-conscious AI development.

Key Benefits

  • Completely free and open-source
  • Developer-friendly CLI interface
  • Strong security testing features
  • Active community development

Capabilities

Add LLM as judgeAdd your own test setsCompare LLM modelsCompare prompts side by sideJailbreak detectionLatency/cost tracking

Integrations

Multiple LLM providersCI/CD systemsSecurity tools

Best For

  • Developer-focused testing
  • CI/CD integration
  • Security testing
  • Command-line workflows

Limitations

  • Command-line interface only
  • Limited GUI features
  • Requires technical expertise

Pricing

Completely free and open-source

Datadog LLM Observatory

4.6
No-Code PlatformEnterprise

Enterprise-grade LLM observability with comprehensive security and performance monitoring.

Add your own test setsCompare LLM modelsCompare prompts side by side+4 more

About

Datadog LLM Observatory brings enterprise-grade monitoring to AI applications with seamless integration into the Datadog ecosystem. It provides comprehensive visibility into LLM chains with detailed tracing and real-time security monitoring.

Key Benefits

  • Enterprise-grade monitoring
  • Datadog ecosystem integration
  • Comprehensive security features
  • Professional support and SLAs

Capabilities

Add your own test setsCompare LLM modelsCompare prompts side by sideEvaluate hallucinationsJailbreak detectionLatency/cost trackingMonitoring/alerts

Integrations

Datadog APMEnterprise security toolsMonitoring systems

Best For

  • Enterprise AI monitoring
  • Datadog ecosystem users
  • Security-critical applications
  • Large-scale AI deployments

Limitations

  • Requires Datadog platform
  • Enterprise pricing model
  • Complex for simple use cases

Pricing

Enterprise pricing as part of Datadog platform packages

LM Evaluation Harness

Open Source
4.6
8,500
Python LibraryFree

Comprehensive framework for benchmarking language models across numerous standardized tasks.

Add LLM as judgeAdd test setsCompare different LLM models

About

The LM Evaluation Harness by EleutherAI is the gold standard for language model benchmarking. It provides a comprehensive framework for evaluating models across numerous standardized tasks with extensibility for custom evaluations and strong visualization integrations.

Key Benefits

  • Industry-standard benchmarking
  • Comprehensive task coverage
  • Strong research credibility
  • Excellent visualization integrations

Capabilities

Add LLM as judgeAdd test setsCompare different LLM models

Integrations

Weights & BiasesZenoResearch platformsHuggingFace

Best For

  • Model benchmarking
  • Research evaluations
  • Academic comparisons
  • Industry-standard testing

Limitations

  • Research-focused, not production-oriented
  • Complex setup for beginners
  • Limited real-time monitoring
  • Requires significant computational resources

Pricing

Open-source framework by EleutherAI

RAGAS

Open Source
4.5
Python LibraryFree

Specialized Python framework for evaluating Retrieval Augmented Generation (RAG) systems.

Add LLM as judgeCompare different LLM modelsEvaluate hallucinations

About

RAGAS focuses specifically on RAG evaluation, providing comprehensive metrics for assessing retrieval quality, generation faithfulness, and overall system performance. It's designed for teams building RAG applications who need specialized evaluation capabilities.

Key Benefits

  • RAG-specialized metrics
  • Comprehensive evaluation framework
  • Active research community
  • Good documentation

Capabilities

Add LLM as judgeCompare different LLM modelsEvaluate hallucinations

Integrations

LangChainLlamaIndexHaystackCustom RAG frameworks

Best For

  • RAG system evaluation
  • Retrieval optimization
  • Document QA systems
  • Knowledge base applications

Limitations

  • Limited to RAG use cases
  • No production monitoring
  • Requires RAG knowledge

Pricing

Open-source with optional commercial support

Vellum AI

4.5
No-Code PlatformCustom

Professional GUI and SDK platform for AI development with comprehensive testing and monitoring tools.

Add LLM as judgeAdd your own test setsCompare LLM models+2 more

About

Vellum AI provides a complete development environment for AI applications, combining an intuitive GUI with powerful SDK capabilities. Designed for professional AI development teams, it offers comprehensive tools for testing, evaluation, and monitoring with dedicated AI specialist support.

Key Benefits

  • Professional-grade development environment
  • Dedicated AI specialist support
  • Comprehensive enterprise features
  • Strong SDK integration

Capabilities

Add LLM as judgeAdd your own test setsCompare LLM modelsLatency/cost trackingMonitoring/alerts

Integrations

Enterprise AI platformsCustom SDK integrationsSecurity systems

Best For

  • Enterprise AI development
  • Professional AI teams
  • Complex AI application development
  • Regulated industry applications

Limitations

  • Enterprise pricing model only
  • May be overkill for simple projects

Pricing

Custom enterprise pricing based on usage and requirements

Laminar

Open Source
4.5
2,000
No-Code PlatformFrom $25/month

Open-source platform for comprehensive AI application observability with Git-like versioning.

Add LLM as judgeAdd your own test setsCompare LLM models+5 more

About

Laminar combines the power of open-source flexibility with enterprise-grade observability features. Its Git-like versioning system and dynamic few-shot examples make it ideal for teams who need systematic prompt improvement and comprehensive application monitoring.

Key Benefits

  • Git-like versioning system
  • Strong open-source community
  • Comprehensive observability
  • Dynamic prompt improvement

Capabilities

Add LLM as judgeAdd your own test setsCompare LLM modelsCompare prompts side by sideEvaluate hallucinationsLatency/cost trackingMonitoring/alertsVersion control

Integrations

Git workflowsOpen-source toolsDevelopment platforms

Best For

  • Version-controlled AI development
  • Systematic prompt improvement
  • Open-source AI applications
  • Development team collaboration

Limitations

  • Newer platform with evolving features
  • Limited enterprise support options

Pricing

Free tier available, Pro at $25/month, Enterprise at $50/month

Azure OpenAI Content Filtering

4.5
Security & ModerationFree

Multi-class content filtering with configurable severity levels and groundedness detection.

Compare LLM modelsEvaluate hallucinationsJailbreak detection+1 more

About

Azure OpenAI Content Filtering provides comprehensive content safety with multi-class classification models that detect and filter harmful content across hate, sexual content, violence, and self-harm categories. With configurable severity levels and advanced features like groundedness detection, it's designed for enterprise-grade content moderation.

Key Benefits

  • Enterprise-grade content filtering
  • Configurable severity levels
  • Advanced attack detection
  • Microsoft ecosystem integration

Capabilities

Compare LLM modelsEvaluate hallucinationsJailbreak detectionMonitoring/alerts

Integrations

Azure OpenAIMicrosoft ecosystemEnterprise systems

Best For

  • Enterprise content moderation
  • Azure-based AI applications
  • Regulated industry compliance
  • Multi-level content filtering

Limitations

  • Limited to Azure ecosystem
  • Requires Azure OpenAI service
  • Microsoft-specific implementation
  • Complex configuration options

Pricing

Free with Azure OpenAI service

Coval

4.4
Voice EvaluationCustom

AI-powered voice and chat simulation platform for reliable agent performance testing.

LLM as a judgePerformance AnalyticsProduction Alerts+3 more

About

Coval specializes in simulating realistic user interactions with AI agents through both voice and chat channels. Using advanced AI-powered testing methodologies, it ensures your agents perform reliably across various scenarios and edge cases.

Key Benefits

  • Unique voice simulation features
  • AI-powered test generation
  • Multi-channel support
  • Reliability focused

Capabilities

LLM as a judgePerformance AnalyticsProduction AlertsProduction Call AnalyticsScenario SimulationTest Sets

Integrations

Major voice platformsChat systemsCustom APIs

Best For

  • Multi-channel agent testing
  • Customer experience optimization
  • Agent reliability testing
  • Performance monitoring

Limitations

  • UI can be complex for beginners
  • Limited documentation

Pricing

Contact for pricing based on testing requirements

Promptmetheus

4.4
No-Code PlatformFrom $29/month

Modular prompt composition platform with LEGO-like blocks for systematic prompt engineering.

Add your own test setsCompare LLM modelsCompare prompts side by side+2 more

About

Promptmetheus revolutionizes prompt engineering with its unique modular approach, allowing you to build prompts like LEGO blocks. This innovative platform helps you identify and remove unnecessary prompt components that don't affect output, making your prompts more efficient and easier for LLMs to follow.

Key Benefits

  • Unique modular prompt design
  • Helps optimize prompt length and clarity
  • Excellent for systematic prompt testing
  • Strong cost optimization features

Capabilities

Add your own test setsCompare LLM modelsCompare prompts side by sideLatency/cost trackingVersion control

Integrations

Multiple LLM APIsCustom inference endpointsTeam workflows

Best For

  • Systematic prompt optimization
  • Team prompt collaboration
  • Cost-conscious prompt development
  • Complex prompt architecture

Limitations

  • Learning curve for modular approach
  • Limited advanced automation features

Pricing

Free trial available, Pro at $29/month, Enterprise at $99/month

Orq.ai

4.4
No-Code PlatformCustom

End-to-end platform for managing the complete lifecycle of LLM applications with AI Gateway.

Add LLM as judgeCompare LLM modelsCompare prompts side by side+3 more

About

Orq.ai provides a comprehensive platform for the entire LLM application lifecycle, from development to deployment. With its AI Gateway feature, it offers unified access to multiple AI models while providing robust management, observability, and evaluation tools.

Key Benefits

  • Complete lifecycle management
  • AI Gateway for model access
  • Strong enterprise features
  • Comprehensive observability

Capabilities

Add LLM as judgeCompare LLM modelsCompare prompts side by sideLatency/cost trackingMonitoring/alertsVersion control

Integrations

Multiple AI modelsEnterprise systemsData platforms

Best For

  • Enterprise LLM applications
  • Multi-model deployments
  • RAG implementations
  • Large-scale AI systems

Limitations

  • Enterprise pricing model
  • Complex for simple use cases
  • Learning curve for full features

Pricing

Custom enterprise pricing based on usage and requirements

TruthfulQA

Open Source
4.4
1,800
Python LibraryFree

Specialized benchmark for evaluating truthfulness in language models with human-aligned metrics.

Add LLM as judgeCompare different LLM modelsEvaluate hallucinations

About

TruthfulQA is a research-focused benchmark specifically designed to evaluate truthfulness in language models. It provides pre-defined datasets with human-aligned falsehood detection, making it ideal for research and academic applications focused on AI safety and truthfulness.

Key Benefits

  • Research-grade truthfulness evaluation
  • Human-aligned evaluation metrics
  • Academic credibility
  • Specialized focus on AI safety

Capabilities

Add LLM as judgeCompare different LLM modelsEvaluate hallucinations

Integrations

Research frameworksAcademic toolsEvaluation benchmarks

Best For

  • AI safety research
  • Academic evaluation studies
  • Truthfulness benchmarking
  • Model comparison research

Limitations

  • Limited to truthfulness evaluation
  • Fixed question set
  • Research-focused, not production-ready
  • No production monitoring

Pricing

Completely free and open-source research tool

Hugging Face Evaluate

Open Source
4.4
1,900
Python LibraryFree

Standard NLP metrics library with comprehensive coverage of traditional evaluation methods.

Standard NLP evaluation metrics

About

Hugging Face Evaluate provides a comprehensive collection of standard NLP evaluation metrics including BLEU, ROUGE, METEOR, and BERTScore. As part of the Hugging Face ecosystem, it offers reliable, well-tested implementations of traditional NLP evaluation methods.

Key Benefits

  • Comprehensive metric coverage
  • Hugging Face ecosystem integration
  • Reliable and well-tested
  • Standard evaluation protocols

Capabilities

Standard NLP evaluation metrics

Integrations

Hugging Face modelsTransformers libraryDatasets library

Best For

  • Traditional NLP evaluation
  • Hugging Face model testing
  • Standard metric comparison
  • Academic research

Limitations

  • Limited to traditional NLP metrics
  • No LLM-specific features
  • Basic evaluation approach
  • No production monitoring

Pricing

Free as part of Hugging Face ecosystem

Giskard

Open Source
4.4
4,600
Python LibraryFree

Automated test set generation with RAGAS metrics integration and comprehensive RAG evaluation.

Add LLM as judgeAdd test setsAnswer relevance+2 more

About

Giskard provides automated test set generation specifically designed for RAG (Retrieval Augmented Generation) systems. With RAGAS metrics integration and component-wise scoring, it offers deep analysis of RAG system performance and quality.

Key Benefits

  • RAG-specialized evaluation
  • Automated test generation
  • Component-wise analysis
  • Strong community support

Capabilities

Add LLM as judgeAdd test setsAnswer relevanceEvaluate hallucinationsSynthetic test data

Integrations

RAGASRAG frameworksVector databasesKnowledge bases

Best For

  • RAG system evaluation
  • Automated test generation
  • Component-wise analysis
  • RAG quality assurance

Limitations

  • RAG-focused use cases
  • Requires RAG knowledge
  • Limited general LLM evaluation
  • Complex for simple applications

Pricing

Open-source with optional commercial support

PromptPerfect

4.3
No-Code PlatformFrom $19/month

AI-powered platform for systematic prompt engineering with multi-model testing and optimization.

Add LLM as judgeAdd your own test setsCompare LLM models+1 more

About

PromptPerfect leverages AI to optimize your prompts automatically, providing data-driven insights for prompt improvement. With support for multi-model testing and custom scoring functions, it enables systematic prompt optimization that goes beyond manual tweaking.

Key Benefits

  • AI-powered optimization
  • Systematic testing approach
  • Data-driven insights
  • Multi-model comparison

Capabilities

Add LLM as judgeAdd your own test setsCompare LLM modelsCompare prompts side by side

Integrations

Multiple LLM providersTesting frameworksAnalytics tools

Best For

  • Prompt optimization
  • Multi-model comparison
  • A/B testing prompts
  • Performance-driven development

Limitations

  • Limited advanced customization
  • Learning curve for optimization features

Pricing

Free tier available, Pro at $19/month, Enterprise at $99/month

Langtail

4.3
No-Code PlatformFrom $99/month

Beautiful AI application testing platform with powerful visualization and cross-team collaboration.

Add your own test setsCompare LLM modelsCompare prompts side by side+2 more

About

Langtail focuses on providing beautiful visualizations and powerful testing tools for AI applications. Designed for cross-functional teams, it bridges the gap between product, engineering, and business teams with intuitive interfaces and comprehensive testing capabilities.

Key Benefits

  • Beautiful user interface
  • Cross-functional team support
  • Strong visualization capabilities
  • Business-friendly features

Capabilities

Add your own test setsCompare LLM modelsCompare prompts side by sideEvaluate hallucinationsMonitoring/alerts

Integrations

Multiple LLM providersBusiness toolsSDK integrations

Best For

  • Cross-functional AI teams
  • Business stakeholder engagement
  • Visual AI application testing
  • Product team collaboration

Limitations

  • Higher pricing tier
  • Limited advanced technical features
  • Newer platform with evolving features

Pricing

Free tier available, Pro at $99/month, Enterprise at $499/month

Distilabel

Open Source
4.3
1,500
Python LibraryFree

Synthetic data generation framework with AI feedback integration and scalable pipelines.

Add LLM as judgeAdd test setsCompare different LLM models+2 more

About

Distilabel specializes in synthetic data generation with AI feedback loops, providing a unified API for creating high-quality, diverse datasets. It's designed for scalable, fault-tolerant pipelines that combine automated AI judging with human-in-the-loop review.

Key Benefits

  • Specialized synthetic data focus
  • Scalable pipeline architecture
  • AI + human feedback loops
  • Research-backed approaches

Capabilities

Add LLM as judgeAdd test setsCompare different LLM modelsHuman EvaluationSynthetic test data

Integrations

Multiple LLM providersHuman annotation toolsML pipelines

Best For

  • Synthetic dataset creation
  • Data augmentation
  • AI feedback research
  • Quality dataset curation

Limitations

  • Specialized use case
  • Requires technical expertise
  • Limited production monitoring
  • Complex setup for beginners

Pricing

Open-source synthetic data framework

Groq Content Moderation

4.3
Security & ModerationFree

Multi-language content safety classification using Llama Guard 3 with 14 harmful categories.

Compare LLM modelsJailbreak detection

About

Groq's content moderation leverages Llama Guard 3 to provide content safety classification across 14 harmful categories based on the MLCommons taxonomy. With support for 8 languages and simple safe/unsafe classification, it offers accessible yet comprehensive content moderation.

Key Benefits

  • Multi-language content moderation
  • MLCommons standardized categories
  • Simple integration via Groq API
  • Clear violation categorization

Capabilities

Compare LLM modelsJailbreak detection

Integrations

Groq APIMulti-language applicationsInternational platforms

Best For

  • Multi-language platforms
  • Groq-based applications
  • International content moderation
  • Simple safety classification

Limitations

  • Limited to Groq ecosystem
  • Basic customization options
  • Requires Groq API access
  • Limited advanced features

Pricing

Free with Groq API usage

Vercel AI Playground

4.2
No-Code PlatformFreemium

Secure platform for experimenting with multiple LLMs with advanced monitoring and protection.

Compare LLM modelsCompare prompts side by sideJailbreak detection+2 more

About

Vercel's AI Playground provides a secure environment for LLM experimentation with built-in protection against abuse and unauthorized use. Integrated with Vercel's infrastructure, it offers enterprise-grade security and monitoring capabilities.

Key Benefits

  • Enterprise-grade security
  • Vercel ecosystem integration
  • Advanced abuse protection
  • Professional monitoring tools

Capabilities

Compare LLM modelsCompare prompts side by sideJailbreak detectionLatency/cost trackingMonitoring/alerts

Integrations

Vercel platformKasada securityVercel middleware

Best For

  • Vercel-based applications
  • Secure AI experimentation
  • Enterprise security requirements
  • Web application integration

Limitations

  • Limited to Vercel ecosystem
  • Basic evaluation features
  • Requires Vercel knowledge

Pricing

Free tier available, usage-based pricing for advanced features

OpenLIT

Open Source
4.2
1,600
No-Code PlatformFree

Open-source AI engineering platform with centralized prompt management and comprehensive observability.

Compare LLM modelsCompare prompts side by sideLatency/cost tracking+2 more

About

OpenLIT provides a complete open-source solution for AI engineering with centralized prompt repository, version control, and granular usage insights. With its secure vault for secrets management, it's designed for teams who need full control over their AI infrastructure.

Key Benefits

  • Completely free and open-source
  • Self-hosted deployment control
  • Comprehensive cost insights
  • Strong security features

Capabilities

Compare LLM modelsCompare prompts side by sideLatency/cost trackingMonitoring/alertsVersion control

Integrations

Self-hosted systemsOpen-source toolsCustom deployments

Best For

  • Self-hosted AI platforms
  • Cost-conscious organizations
  • Security-first deployments
  • Open-source AI stacks

Limitations

  • Requires self-hosting setup
  • Limited cloud-hosted options
  • Smaller community compared to alternatives

Pricing

Completely free and open-source

TruLens

Open Source
4.2
2,100
Python LibraryFree

Specialized evaluation library focusing on answer relevance, fairness, bias, and sentiment analysis.

Answer relevanceFairness and biasSentiment

About

TruLens provides specialized evaluation functions for assessing critical aspects of LLM applications including groundedness, relevance, safety, and sentiment. It's particularly strong in areas of fairness and bias evaluation, making it valuable for responsible AI development.

Key Benefits

  • Strong focus on responsible AI
  • Comprehensive bias evaluation
  • Ethical AI assessment
  • Research-backed metrics

Capabilities

Answer relevanceFairness and biasSentiment

Integrations

Python ML ecosystemResponsible AI toolsResearch frameworks

Best For

  • Responsible AI development
  • Bias and fairness testing
  • Ethical AI evaluation
  • Sentiment analysis projects

Limitations

  • Limited production features
  • Specialized use cases only
  • Requires domain expertise
  • Smaller feature set

Pricing

Open-source evaluation library

BlueJay

4.2
Voice EvaluationCustom

Cloud-based incident management platform for comprehensive alert management and MTTR optimization.

Actionable InsightsPerformance MonitoringPerformance Analytics+1 more

About

BlueJay is a specialized incident management platform designed to optimize alert management processes for engineering teams. It focuses on reducing downtime and Mean Time to Resolution (MTTR) by providing comprehensive and effective alerting before incidents occur.

Key Benefits

  • Proactive incident management
  • MTTR optimization focus
  • Engineering team specialization
  • Cloud-based accessibility

Capabilities

Actionable InsightsPerformance MonitoringPerformance AnalyticsProduction Alerts

Integrations

Engineering toolsMonitoring systemsAlert platforms

Best For

  • Incident management
  • Alert optimization
  • Engineering team workflows
  • MTTR reduction strategies

Limitations

  • Specialized incident management focus
  • Limited direct AI evaluation features
  • Custom pricing model
  • Engineering team specific

Pricing

Contact for pricing information

Guardrails AI

Open Source
4.2
4,100
Security & ModerationFree

Framework for validating and correcting LLM inputs and outputs using customizable guardrails.

Custom validation rulesOutput correctionInput filtering

About

Guardrails AI provides a comprehensive framework for implementing custom guardrails that validate and correct LLM inputs and outputs. It allows teams to define specific rules and constraints for their AI applications, ensuring outputs meet quality and safety standards.

Key Benefits

  • Highly customizable framework
  • Both validation and correction
  • Open-source flexibility
  • Developer-friendly implementation

Capabilities

Custom validation rulesOutput correctionInput filtering

Integrations

Python applicationsCustom LLM implementationsAI pipelines

Best For

  • Custom AI guardrails
  • Output quality assurance
  • Custom validation logic
  • AI safety implementations

Limitations

  • Requires custom implementation
  • Learning curve for complex rules
  • No pre-built moderation categories
  • Manual rule definition needed

Pricing

Open-source framework

SAGA LLM Evaluation

Open Source
4.1
Python LibraryFree

Versatile Python library with embedding-based, language-model-based, and LLM-based evaluation categories.

Add LLM as judgeAdd test setsCompare different LLM models+1 more

About

SAGA provides a comprehensive evaluation framework with metrics divided into three categories: embedding-based, language-model-based, and LLM-based evaluations. Built on Hugging Face Transformers and LangChain, it offers flexibility for various evaluation needs.

Key Benefits

  • Versatile evaluation categories
  • Strong integration ecosystem
  • Flexible metric selection
  • Good documentation

Capabilities

Add LLM as judgeAdd test setsCompare different LLM modelsEvaluate hallucinations

Integrations

Hugging FaceLangChainCustom LLMsPython ecosystem

Best For

  • Research and development
  • Multi-approach evaluation
  • Custom evaluation workflows
  • Academic projects

Limitations

  • Limited production monitoring
  • No built-in versioning
  • Requires technical setup
  • Smaller community

Pricing

Open-source Python package

Opper

4.1
Python LibraryCustom

Online and offline evaluation platform with custom evaluators and real-time feedback integration.

Add LLM as judgeAdd test setsAnswer relevance+5 more

About

Opper provides both online and offline evaluation capabilities with a focus on real-time feedback and guardrails. It offers flexible SDKs for Python and JavaScript, making it easy to integrate evaluation into existing workflows with custom evaluators and automated feedback systems.

Key Benefits

  • Real-time evaluation feedback
  • Flexible SDK support
  • Custom evaluator creation
  • Integrated guardrails system

Capabilities

Add LLM as judgeAdd test setsAnswer relevanceCompare different LLM modelsGuardrailsHuman EvaluationMonitoring/alerts from productionSentiment

Integrations

Python SDKJavaScript SDKTracing systemsCustom APIs

Best For

  • Real-time evaluation
  • Custom evaluation workflows
  • Guardrails implementation
  • Multi-language development

Limitations

  • Commercial platform
  • Limited documentation
  • Newer platform
  • Custom pricing model

Pricing

Contact for pricing information

Cekura (formerly Vocera)

4.1
Voice EvaluationFrom $250

Automated voice agent testing with realistic conversation workflows and persona simulation.

Production AlertsProduction Call AnalyticsScenario Simulation

About

Cekura (formerly Vocera) specializes in automated voice agent testing through realistic conversation simulation with customizable workflows and personas. It provides comprehensive monitoring, alerting, and performance insights specifically designed for voice AI applications.

Key Benefits

  • Realistic conversation testing
  • Customizable persona simulation
  • Comprehensive voice analytics
  • Professional monitoring tools

Capabilities

Production AlertsProduction Call AnalyticsScenario Simulation

Integrations

Voice platformsCall center systemsAnalytics tools

Best For

  • Voice agent testing
  • Conversation flow optimization
  • Voice quality assurance
  • Call center automation testing

Limitations

  • Voice-specific use cases only
  • Mid-range pricing requirements
  • Limited general AI evaluation
  • Requires voice AI knowledge

Pricing

$250-$1000 monthly or custom enterprise pricing

Deepteam

Open Source
4.1
Security & ModerationCustom

Automated vulnerability scanning for bias, PII leakage, toxicity, and prompt injection detection.

BiasJailbreak detectionPII leakage+1 more

About

Deepteam provides comprehensive automated vulnerability scanning for AI applications, focusing on bias detection, PII leakage prevention, toxicity assessment, and prompt injection protection. It includes OWASP Top 10 compliance checks and NIST AI standards alignment.

Key Benefits

  • Comprehensive vulnerability coverage
  • Compliance with industry standards
  • Automated scanning capabilities
  • Open-source red teaming framework

Capabilities

BiasJailbreak detectionPII leakageToxicity

Integrations

OWASP toolsNIST frameworksSecurity platforms

Best For

  • AI security assessment
  • Vulnerability scanning
  • Compliance monitoring
  • Red teaming exercises

Limitations

  • Custom pricing model
  • Complex setup for full features
  • Requires security expertise
  • Enterprise-focused features

Pricing

Contact for pricing information

Fixa

Open Source
4.0
450
Voice EvaluationFree

Open-source Python package for AI voice agent testing with LLM-based conversation evaluation.

LLM as a judgeScenario Simulation

About

Fixa is a lightweight, open-source Python package designed specifically for AI voice agent testing. It uses voice agents to call your voice agent and then employs LLMs to evaluate the conversation quality, making it ideal for developers who need programmatic voice testing.

Key Benefits

  • Completely free and open-source
  • Developer-friendly Python integration
  • LLM-based evaluation
  • Multiple platform integrations

Capabilities

LLM as a judgeScenario Simulation

Integrations

PipecatCartesiaDeepgramOpenAITwilio

Best For

  • Python-based voice testing
  • Automated voice agent QA
  • Developer testing workflows
  • Open-source voice projects

Limitations

  • Limited features compared to commercial tools
  • Requires technical implementation
  • Smaller community support
  • Basic analytics capabilities

Pricing

Completely free and open-source

Test AI

3.9
Voice EvaluationPaid

AI testing platform with simulated scenarios, custom datasets, and real-time performance tracking.

AI-Crafted DatasetsActionable InsightsPerformance Monitoring+1 more

About

Test AI simplifies AI testing with a comprehensive platform that includes simulated scenarios, custom dataset creation, and real-time tracking. It offers performance insights, notifications, and a user-friendly interface designed for optimization and quality assurance.

Key Benefits

  • User-friendly interface
  • AI-powered dataset creation
  • Comprehensive monitoring
  • Actionable optimization insights

Capabilities

AI-Crafted DatasetsActionable InsightsPerformance MonitoringScenario Simulation

Integrations

Various AI platformsMonitoring toolsAnalytics systems

Best For

  • AI application testing
  • Performance optimization
  • Quality assurance workflows
  • Automated testing scenarios

Limitations

  • Limited customization options
  • Newer platform with evolving features
  • Pricing not transparent
  • Limited integration options

Pricing

Various plans and packages available

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