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GenAI Observability Platforms

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End-to-end tracking, debugging, and monitoring systems (e.g., LangSmith, LangFuse).

LangSmith

LangSmith provides full-stack observability for LLM applications, including tracing, dataset management, evaluation, debugging, and monitoring of LangChain and non-LangChain pipelines.

  • 6
  • 470

LangFuse

LangFuse is an open-source observability and analytics platform for LLM applications, offering traces, spans, evaluations, prompt tracking, and usage dashboards.

  • 4
  • 491

WhyLabs AI Observatory

WhyLabs provides AI observability with drift detection, data monitoring, model performance tracking, and real-time guardrails for LLM and ML pipelines.

  • 49
  • 774

TruEra AI Quality

TruEra evaluates and monitors model performance, fairness, robustness, and LLM behavior with analytics dashboards and automated assessments.

  • 29
  • 387

Arize AI

Arize AI offers model observability, vector search monitoring, embedding drift detection, LLM evaluation, and real-time troubleshooting.

  • 40
  • 687

Humanloop

Humanloop provides LLM experiment tracking, feedback loops, structured evaluations, dataset building, and real-time insights into LLM behavior.

  • 49
  • 406

Weights & Biases LLM Tracking

Weights & Biases enables experiment tracking, dataset comparison, prompt/version monitoring, and LLM evaluation workflows.

  • 51
  • 526

PromptLayer

PromptLayer tracks, logs, and monitors LLM prompts, responses, versions, and performance across production applications.

  • 44
  • 566

Helicone

Helicone provides observability, monitoring, cost analytics, latency insights, and dashboarding for OpenAI and LLM API traffic.

  • 9
  • 564

Evidently AI

Evidently AI offers open-source monitoring for data and model drift, embedding evaluation, and LLM quality metrics.

  • 22
  • 269

Monitaur

Monitaur provides governance, observability, compliance, and auditability for production AI systems, including generative models.

  • 44
  • 201

Aporia AI

Aporia provides real-time monitoring, alerting, drift detection, and auditability tailored for both ML and LLM applications.

  • 30
  • 560

Fiddler AI

Fiddler provides model transparency, monitoring, fairness tracking, and explanations for LLMs, embeddings, and ML models.

  • 9
  • 79

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