langfuse/langfuse Alternatives

Choose when you want an agent-centric tracing and evals platform with a modern open-source backend.

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

Choose when you want OpenTelemetry-native observability plus GPU monitoring and guardrails in one platform.

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.

Choose when you want one-line-code LLM observability with a self-hostable dashboard and eval features.

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

Choose when you want a Python-first LLM observability and evaluation platform with a self-hosted dashboard.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Choose when you want notebook-centric LLM tracing and evaluation in an open-source Python tool.

AI Observability & Evaluation

Choose when you want an agent optimization platform that tightly couples debugging, evaluation, and iteration.

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.

Choose when prompt management/versioning is your primary pain point and you want attached observability.

🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

Choose when your focus is LLM evaluations and agent testing with a dedicated eval UI.

The platform for LLM evaluations and AI agent testing

Choose when you want an LLM gateway that optimizes prompts from production traces instead of a passive observability platform.

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

Choose when your team already uses MLflow and wants LLM tracing/evals inside a broader ML lifecycle platform.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Choose when you want one OpenTelemetry-native APM for infrastructure and LLM traces and can skip LLM-specific eval features.

SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined with SigNoz MCP and a native AI teammate (in SigNoz Cloud) it helps you build more resilient apps.

Choose when you only need an agent evaluation/monitoring engine and can wire it into your own stack.

The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.