Guide
What To Inspect
Evaluate AI observability projects by tracing depth, prompt and completion capture, evaluation workflows, privacy controls, integrations, and whether the project is production-ready or analysis-focused.
Git.Top Guide
Open-source tracing, prompt logging, evaluation, cost tracking, and runtime analysis tools for AI products.
Guide
Evaluate AI observability projects by tracing depth, prompt and completion capture, evaluation workflows, privacy controls, integrations, and whether the project is production-ready or analysis-focused.
Guide
Use this page when selecting tools for monitoring LLM apps, debugging agent runs, tracking costs, reviewing prompts, or comparing quality across model and retrieval changes.
Data Source
1226 loaded projects. Generated at 2026-11-11T00:12:49.046Z.
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AI observability platform for production LLM and agent systems.
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Same agent Smaller bill. The tools and infrastructure to get more work from your AI. Fewer tokens. Less compute. Lower cost.
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CNCF Jaeger, a Distributed Tracing Platform
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Open-source observability for your GenAI or LLM application, based on OpenTelemetry
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CLI for managing Dynatrace platform resources - built for humans and AI agents
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This repo was archived on Oct 16, 2026. Python SDK moved to langchain-ai/langsmith-python and JS SDK to langchain-ai/langsmith-javascript.
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An AI-powered next-generation open source real-time observability system.
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lightweight system-level observability for AI Agents
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Monoscope lets you ingest and explore your logs, traces and metrics. We store these in S3 compatible buckets. Query in natural language via LLMs.
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🪢 Langfuse JS/TS SDK
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Self-hosted AI SRE for Kubernetes — zero-instrumentation eBPF observability plus a copilot that fixes issues through guardrailed, self-verifying actions. BYO-LLM, air-gapped capable.
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OpenTelemetry Instrumentation for AI Observability