WhyLabs

WhyLabs

WhyLabs provides an open-source platform for AI observability, designed to monitor, secure, and manage machine learning systems. Its core components include the complete open-sourced platform for AI observability research, whylogs for privacy-preserving data logging, and langkit for monitoring and securing LLMs. Targeted at ML engineers, data scientists, and teams building production AI, it focuses on robustness and responsible AI adoption through community-driven standards.

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Added on
Sep 22, 2026
AI ObservabilityOpen SourceLLM MonitoringData LoggingDiscontinued
Product information

Everything worth knowing about WhyLabs

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

AI Observability Platform
Complete platform for monitoring AI systems, data, and models. Now open-sourced for community use.
Data Logging Standard
Open standard for privacy-preserving data logging and monitoring (whylogs).
LLM Monitoring Toolkit
Open-source toolkit for monitoring and securing Large Language Models (langkit).
Responsible AI Operations
Tools and standards designed to enable responsible adoption and monitoring of AI technology.
Technical capabilities
Open-Sourced Core Platform
Full platform codebase publicly available on GitHub for research and iteration.
Privacy-Preserving Architecture
Core technology built to enable monitoring and logging without compromising data privacy.
Must watch videos
How to Run AI with Certainty – WhyLabs Observability Platform
2:04
Tutorial2:04
How to Run AI with Certainty – WhyLabs Observability Platform
The WhyLabs Observability Platform enables any AI practitioner to set up AI monitoring in three easy steps. This demo walks over key features of the WhyLabs platform that enable monitoring for data and model health.
New course with WhyLabs and DeepLearning.AI: Quality and Safety for LLM Applications
1:49
Tutorial1:49
New course with WhyLabs and DeepLearning.AI: Quality and Safety for LLM Applications
Built in collaboration with DeepLearning.AI, the 'Quality and Safety for LLM Applications' short course is designed to help you create useful metrics to monitor your LLM systems for safety and quality. Upon completing this course, you’ll be able to: - Identify hallucinations with methods like SelfCheckGPT - Detect jailbreaks (prompts that attempt to manipulate LLM responses) using sentiment analysis and implicit toxicity detection models. - Identify data leakage using entity recognition and vector similarity analysis. - Build your own monitoring system to evaluate app safety and security over time. Enroll now for free: www.deeplearning.ai/short-courses/quality-safety-llm-applications/ Learn more about WhyLabs: www.whylabs.ai
Getting Started with the WhyLabs Platform
2:51
Tutorial2:51
Getting Started with the WhyLabs Platform
In the second installment of this video series on Onboarding to the WhyLabs Platform, learn how to create a WhyLabs model and begin uploading dataset profiles to it. See the resources below for more. Sign up for WhyLabs for free https://whylabs.ai/free See this onboarding walkthrough in our Documentation https://docs.whylabs.ai/docs/whylabs-onboarding Learn more about the WhyLabs Platform capabilities https://docs.whylabs.ai/docs/whylabs-capabilities

Who uses it

Real use cases, no hype
ML Data Drift Monitoring
Detect statistical drift in production model inputs using whylogs profiles.
LLM Output Quality Tracking
Monitor hallucinations, toxicity, and quality of LLM responses in real-time.
Privacy-Preserving Auditing
Log and audit AI system behavior without exposing raw sensitive data.
Model Performance Benchmarking
Establish and track performance baselines across model versions.
Production AI Debugging
Pinpoint when and where a model started failing by analyzing logged feature distributions.
Responsible AI Compliance
Generate audit trails and fairness metrics for regulatory reporting.
Self-Hosted Observability Stack
Deploy a fully open-source monitoring system on your own infrastructure.
What's great
  • Pioneered AI Observability category
  • Core open-sourced platform (whylogs)
  • Privacy-preserving data logging standard
  • Community-driven best practices for responsible AI
Technical strengths
  • Dedicated LLM monitoring toolkit (langkit)
Where it falls short
  • Company and hosted platform discontinued
  • No active commercial support or SaaS
  • Breaking change from managed service to OSS
Technical limitations
  • Transition to self-hosted OSS requires engineering effort
  • Future development depends on community fork
For technical folks

The deep-dive specs

FAQ

Includes technical Q&A
The WhyLabs commercial platform and company are discontinuing operations. However, the core technology is now open-source and available on GitHub.

Traffic Insights

Monthly Visits

—

October 2026

Growth Rate

0%

vs last month

Dominance

0%

in Productivity

Top Country

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Top Countries Breakdown

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Growth Trend

Stable

Traffic has remained stable.

Pricing overview
Unknown Pricing

WhyLabs Pricing

WhyLabs uses a unknown pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on WhyLabs
Reviews

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