langfuse and langtrace
Both are open-source LLM observability platforms built on OpenTelemetry standards that compete for the same use case (tracing, metrics, and evals for LLM applications), though Langfuse has significantly broader adoption and additional features like prompt management and datasets.
About langfuse
langfuse/langfuse
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Provides distributed tracing via SDKs (Python, JavaScript/TypeScript) that capture full LLM call chains with automatic context propagation, backed by ClickHouse for scalable analytics. Features a unified API surface for programmatic access to traces, evaluations, and datasets, enabling custom workflows and integration into existing MLOps pipelines alongside LangChain, LlamaIndex, and other frameworks.
About langtrace
Scale3-Labs/langtrace
Langtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. 🚀💻📊
Implements automatic instrumentation via SDK initialization that intercepts calls to 11+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, etc.), 8+ vector databases (Pinecone, Chroma, Qdrant, Weaviate), and frameworks like LlamaIndex and LangChain without code modification. Built on OpenTelemetry standards with a self-hosted option using Next.js, PostgreSQL, and ClickHouse for trace storage and analytics, while the managed cloud version sends data to Langtrace's infrastructure.
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