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
:memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
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