WhyLabs
The AI Observability Platform.
Overview
WhyLabs is an AI observability platform that helps teams monitor their data pipelines and machine learning models for issues like drift, data quality problems, and bias. It provides a comprehensive view of the health of AI systems, from data inputs to model outputs, with specific capabilities for large language models.
✨ Key Features
- AI Observability and Monitoring
- Data and Model Drift Detection
- Data Quality and Integrity Monitoring
- Bias and Fairness Monitoring
- LLM Monitoring and Guardrails
- Open-source data logging library (whylogs)
🎯 Key Differentiators
- Focus on data-centric AI observability
- Open-source data logging library (whylogs)
Unique Value: WhyLabs provides a comprehensive solution for monitoring the health of data and AI systems, enabling teams to detect and resolve issues before they impact business outcomes.
🎯 Use Cases (4)
✅ Best For
- Data quality monitoring for data pipelines
- Drift detection for production machine learning models
- Bias detection in AI-powered decisioning systems
- Observability for LLM-based applications
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Building and training machine learning models from scratch
🏆 Alternatives
Compared to other observability platforms, WhyLabs offers a stronger focus on data-centric monitoring, with its open-source whylogs library providing a flexible and scalable way to log data from any source.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Free tier with limited usage and features.
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