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whylogs
An open-source data logging library for machine learning models and data pipelines. π Provides visibility into data quality & model performance over time. π‘οΈ Supports privacy-preserving data collection, ensuring safety & robustness. πlangkit
π LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). π Extracts signals from prompts & responses, ensuring safety & security. π‘οΈ Features include text quality, relevance metrics, & sentiment analysis. π A comprehensive tool for LLM observability. πwhylogs-java
Profile and monitor your ML data pipeline end-to-endwhylogs-examples
A collection of WhyLogs examples in various languagesopenllmtelemetry
Open LLM Telemetry packagewhylogs-proto
Protobuf definition for WhyLogs formatdatasketches
A fork of datasketches for consumption in WhyLogswhylabs-toolkit
whylabs-tutorials
Tutorials for WhyLabswhylogs-container
Container code for WhyLogswhylogs_action
Repo for running Whylogs as part of a CI workflow using github actions.llm-traceguard
End-to-end observability with built-in security guardrailswhylabs-client-python
Public Python client for WhyLabs APIairflow-provider-whylogs
A repo to contain whylogs operators to work with Apache Airflowwhylabs-ray-examples
monitor-schema
A repository for the WhyLabs monitor config schemabigquery-dataflow-templates
whylogs-container-python
whylogs-container-python-client
Python swagger client for the whylogs containerwhylabs
Python library for configuring and managing WhyLabs organizations.langkit-container-examples
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