Galileo

Galileo

Galileo's Evaluation Intelligence Platform empowers AI teams to effectively evaluate and monitor their generative AI applications at scale. With tools for offline experimentation and error pattern identification, it enables rapid iteration and enhancement, drastically reducing response times and improving model accuracy while seamlessly integrating into existing ML workflows.

Top Galileo Alternatives

1

promptfoo

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2

Ragas

Ragas is an open-source framework that empowers developers to rigorously test and evaluate Large Language Model applications.

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Opik

Opik empowers developers to seamlessly debug, evaluate, and monitor LLM applications and workflows.

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DeepEval

DeepEval is an open-source framework designed for evaluating large-language models (LLMs) in Python.

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Arize Phoenix

Phoenix is an open-source observability tool that empowers AI engineers and data scientists to experiment, evaluate, and troubleshoot AI and LLM applications effectively.

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6

Keywords AI

An innovative platform for AI startups, Keywords AI streamlines the monitoring and debugging of LLM workflows.

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Scale Evaluation

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ChainForge

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TruLens

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Literal AI

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Chatbot Arena

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AgentBench

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Langfuse

It offers essential features like observability, analytics, and prompt management, enabling teams to track metrics...

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Symflower

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Traceloop

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Top Galileo Features

  • Real-time evaluation insights
  • Automated error pattern detection
  • Offline experimentation support
  • Cross-module integration capabilities
  • No ground-truth requirement
  • Production monitoring toolchain
  • Rapid iteration for model improvements
  • Enhanced model observability
  • Collaborative reporting features
  • Comprehensive data gap analysis
  • Low-cost evaluation solution
  • Hybrid deployment options
  • SDK for seamless integration
  • Fast identification of ML errors
  • Scalable service performance tracking
  • Trust layer for GenAI applications
  • Instant feedback on model performance
  • User-friendly interface
  • Detailed run comparison tracking
  • Support for unlabeled data analysis