AI Observability & Evaluation

Evaluation and Tracking for LLM Experiments and AI Agents

Laminar - open-source all-in-one platform for engineering AI products. Create data flywheel for your AI app. Traces, Evals, Datasets, Labels. YC S24.

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.

Fiddler Auditor is a tool to evaluate language models.

A comprehensive solution for monitoring your AI models in production

A python library to send data to Arize AI!

A report generator library for the ML models deployed on the Fiddler AI Observability platform

Search for a holiday and get destination advice from an LLM. Observability by Dynatrace.

Java client to interact with Arize API

This repo hosts a chatbot that runs in Github Codespaces to demo Okahu AI Observability Cloud with OpenAI

This repo hosts a chatbot that runs in a docker container to demo Okahu AI Observability Cloud

Example projects for Arthur Model Monitoring Platform

Official Python Library to monitor your LLM Application with Doku

Open Source Video Understanding API and Large Vision Model Observability Platform.

Official NodeJS library for monitoring LLM Applications with Doku

The Modelmetry Python SDK allows developers to easily integrate Modelmetry’s advanced guardrails and monitoring capabilities into their LLM-powered applications.

A hands-on course repository for Evaluating AI Agents, created with Arize AI, that teaches you how to systematically evaluate, debug, and improve AI agents using observability tools, structured experiments, and reliable metrics. Learn production-grade techniques to enhance agent performance during development and after deployment.