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“LLM evaluation”
Showing 1–8 of 8 for “LLM evaluation”
- 0.847score
DeepEval
Confident AI
Open-source LLM evaluation framework, similar to Pytest, for unit testing LLM apps and agents
Observability toolAFreshness: A★ 19.1Kevals - 0.657score
Ragas
Ragas
Toolkit for evaluating LLM applications with objective metrics, test data generation and feedback loops
Observability toolDFreshness: D★ 16.1Kevals - 0.862score
Promptfoo
Promptfoo (OpenAI)
Open-source CLI and library for evaluating and red-teaming LLM apps and agents
Observability toolAFreshness: A★ 26.4Kevals - 0.793score
LangWatch
LangWatch
Open-source platform to trace, test, evaluate and govern every LLM call and AI agent in production
Observability toolAFreshness: A★ 5Kevals - 0.577score
Google Gen AI Evaluation Service
Google Cloud
Enterprise service for objective evaluation of generative AI models using adaptive and static rubrics
Observability toolAFreshness: Aevals - 0.582score
Evidently
Evidently AI
Open-source framework to evaluate, test and monitor ML and LLM systems
Observability toolAFreshness: Aevals - 0.584score
Scorable
Scorable (formerly Root Signals)
AI quality platform for developers that builds evaluators, guardrails and monitoring for LLM applications
Observability toolAFreshness: Aevals - 0.581score
Giskard
Giskard
Open-source Python library for evals, red teaming and test generation for agentic systems
Observability toolAFreshness: Aevals