WhyLabs
The AI Observability Platform.
Overview
WhyLabs was an AI observability platform focused on monitoring data and model health, from traditional ML models to LLMs. It used a novel approach of logging statistical profiles of data (via its open-source library, whylogs) rather than the raw data itself, ensuring privacy and scalability. In 2025, WhyLabs announced it was discontinuing commercial operations and open-sourcing its entire platform to support future research in AI observability.
✨ Key Features
- Privacy-preserving data logging (whylogs)
- Data quality and drift monitoring
- Model performance monitoring
- LLM monitoring and security (LangKit)
- Open-source platform
- No-configuration setup
🎯 Key Differentiators
- Privacy-preserving architecture using statistical profiles
- Completely open-source platform
- Strong focus on data quality as the foundation of model health
Unique Value: Provides a powerful, privacy-preserving, and now fully open-source AI observability platform for monitoring data and model health.
🎯 Use Cases (4)
✅ Best For
- Large-scale, privacy-preserving data monitoring
- Drift detection for models in regulated industries
- Open-source AI observability
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Teams looking for a commercially supported, managed SaaS platform
- Organizations that require enterprise-grade support and SLAs
🏆 Alternatives
As an open-source project, it offers maximum flexibility and no cost, but lacks the commercial support of other platforms. Its privacy-preserving nature is a key advantage over tools that require raw data.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Entire platform is now open-source and free
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