Name: WhyLabs
Type: Organization
Bio: Observability for AI pipelines and applications. Instrument data pipelines, analyze data quality and drift, catch deviations before they cause model failures.
Twitter: whylabs
Location: United States of America
Blog: http://www.whylabs.ai/
WhyLabs's Projects
A repo to contain whylogs operators to work with Apache Airflow
Github Artifacts server example
Helm charts for WhyLabs
Core C++ Sketch Library
A collection of apps powered by the LangChain LLM framework.
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
End-to-end observability with built-in security guardrails
A repository for examples of WhyLabs monitor config
A repository for the WhyLabs monitor config schema
Open LLM Telemetry package
Public Python client for WhyLabs API
Public Python client for WhyLabs API
WhyLabs documentation repository
Tutorials for WhyLabs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
Scalable Bloom Filter implemented in Python
Container code for WhyLogs
This repository contains examples on how to extend the existing whylogs-container-python for LLM use-cases
Python swagger client for the whylogs container