Alternatives to Langfuse

Open-source LLM agent observability with tracing, evals, and experiments

OpenTelemetry-native observability with autonomous AI SRE Agent0, plus AI Coding Insights to monitor coding agents in production.

Open-source observability and evaluation for AI agents.

Open-source OpenTelemetry LLM observability for Python devs

Open-source AI observability with privacy-preserving logging and LLM security toolkit

Open-source AI evaluation and observability for LLMs, RAG, agents, and ML models.

Open-source AI observability and evals for the agentic era

Open-source LLM engineering platform for observability, prompt management, and evaluation—self-hostable or cloud.

AI observability and eval engineering platform that turns offline evals into production guardrails.

Open-source OpenTelemetry-native framework for evaluating and tracing AI agents

Open source AI engineering platform for building, debugging, and monitoring agents, LLMs, and ML models.

Open-source workspace to build, evaluate, and deploy AI agents

Open-source product OS unifying analytics, session replay, feature flags, and a data warehouse.

Open-source framework for systematic LLM evaluation replacing vibe checks

Open-source LLM and VLM evaluation platform for standardized benchmarking

Free open-source widget tracking tokens, cost, and limits across 28+ AI coding tools.

Free, self-hosted OpenTelemetry LLM observability and AI engineering platform for teams

Free local observability for AI coding agents — track tokens, cost & traces, no cloud.

Free open-source AI usage tracking & analytics for developers

LangSmith: AI agent observability, tracing, and evaluation platform

AI observability and evals that auto-fix agent code via git

Enterprise AI quality platform unifying LLM evaluation, observability, red teaming, and governance.

Enterprise AI control plane uniting agentic observability, guardrails, and governance

Turn plain English into production-ready Honeycomb queries for faster debugging.

Turn offline evals into real-time AI guardrails with observability and eval engineering.

Real-time experiment tracking for frontier AI model training, now owned by OpenAI

Trace, debug, and deploy reliable AI agents with full observability

Active observability for AI agents: trace, evaluate, and discover patterns at scale.

AI gateway & LLM observability for routing, debugging, and analyzing AI apps

Autonomous AI SRE agent for Kubernetes with eBPF observability and automated fix PRs.