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
1215 loaded projects. Generated at 2026-09-04T13:58:38.649Z.
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AI observability platform for production LLM and agent systems.
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Open-source observability for your GenAI or LLM application, based on OpenTelemetry
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LangSmith Client SDK Implementations
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lightweight system-level observability for AI Agents
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CNCF Jaeger, a Distributed Tracing Platform
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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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An AI-powered next-generation open source real-time observability system.
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🪢 Langfuse JS/TS SDKs - Instrument your LLM app and get detailed tracing/observability. Works with any LLM or framework
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CLI for managing Dynatrace platform resources - built for humans and AI agents alike
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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
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Sister project to OpenLLMetry, but in Typescript. Open-source observability for your LLM application, based on OpenTelemetry