Opik

Opik

Opik empowers developers to seamlessly debug, evaluate, and monitor LLM applications and workflows. By enabling trace logging and performance scoring, it allows for in-depth analysis of model outputs and metrics. With direct integrations and an open-source codebase, teams can effortlessly optimize their applications while ensuring compliance and scalability.

Top Opik Alternatives

1

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.

2

promptfoo

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3

Scale Evaluation

Scale Evaluation serves as an advanced platform for the assessment of large language models, addressing critical gaps in evaluation datasets and model comparison consistency.

4

Galileo

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5

TruLens

TruLens 1.0 is a powerful open-source Python library designed for developers to evaluate and enhance their Large Language Model (LLM) applications.

6

Ragas

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

7

Literal AI

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DeepEval

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ChainForge

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Keywords AI

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11

Chatbot Arena

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Langfuse

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Symflower

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Traceloop

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Top Opik Features

  • Comprehensive tracing capabilities
  • Automated evaluation metrics
  • Performance comparison across versions
  • Detailed logging of traces
  • User-friendly response annotation
  • Built-in LLM judges integration
  • Customizable evaluation metrics SDK
  • Scalable for enterprise use
  • Open-source with local deployment
  • Risk-free trial without credit card
  • Fast configuration for teams
  • Support for any LLM framework
  • Production-ready dashboards
  • Aggregate scoring and analysis
  • Individual prompt drill-down analysis
  • Extensive test suite capabilities
  • Reliable performance baselines
  • Continuous monitoring of applications
  • Integrated experimentation workflows
  • Support for RAG systems