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WhyLabs

Freemium
mlopsai observabilitymodel monitoringdata driftdata qualityllm monitoringmachine learningproduction aiwhylogs

WhyLabs offers a robust, specialized solution for monitoring ML models and data pipelines, making it an essential tool for any team serious about production AI.


The AI Observability Platform, enabling teams to monitor data pipelines and machine learning models in production.

WhyLabs is an AI observability platform designed to prevent AI failures by monitoring data and models throughout their lifecycle. It helps data scientists, ML engineers, and MLOps teams maintain the health and performance of their machine learning systems once they are deployed in production. The platform automatically detects issues such as data drift, data quality degradation, model performance decay, and bias. Built on top of the open-source `whylogs` library for data logging, WhyLabs provides a unified view of all models, whether they are traditional ML models or Large Language Models (LLMs). It offers real-time alerting, customizable dashboards, and tools for root cause analysis, allowing teams to quickly identify, troubleshoot, and resolve problems before they impact business outcomes. It's suitable for organizations of any size, from individual developers to large enterprises scaling their AI initiatives.

Pros

  • Comprehensive observability for both traditional ML and LLMs
  • Founded on the popular open-source whylogs library
  • Powerful free tier suitable for small projects and individuals
  • Strong focus on both data health and model performance
  • Includes security monitoring features for LLM applications

Cons

  • Paid plans have a high starting price point
  • Can present a learning curve for teams new to MLOps tools
  • Focus is strictly on observability, not a full MLOps lifecycle platform
  • The AI observability market is becoming increasingly competitive

Key features

  • Automated data drift and concept drift detection
  • Data quality and integrity monitoring
  • Model performance monitoring (accuracy, F1 score, etc.)
  • LLM and generative AI monitoring (prompt/response tracking)
  • Security monitoring for prompt injections and PII leakage
  • Real-time alerting via Slack, PagerDuty, and email
  • Root cause analysis and model explainability tools
  • Built on the open-source 'whylogs' data logging standard

Integrations

AWS S3AWS SageMakerGoogle Cloud Platform (GCP)Microsoft AzureDatabricksSnowflakeRayApache KafkaApache SparkMLflowLangChainLlamaIndex

Target audience

Data scientists, ML engineers, and MLOps platform teams


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Founded

2019

Headquarters

Seattle, USA

Pricing Tiers

Free

Free

Starter

$500/mo

Enterprise

Contact for pricing


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