Langfuse vs. Openlayer Comparison


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About Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export data	About Openlayer is an enterprise AI governance platform that helps organizations discover, test, monitor, secure, and control AI systems from development through production. The platform brings AI evaluation, observability, governance, guardrails, compliance, gateway enforcement, and cost controls together in one place. Teams can evaluate LLMs, agents, RAG applications, and traditional ML systems using 175+ out-of-the-box evaluations across quality, safety, security, performance, cost, fairness, and compliance. In production, Openlayer provides end-to-end tracing and continuous monitoring of AI behavior, including prompts, responses, tool calls, agent workflows, latency, and cost. Real-time guardrails can detect and block issues such as prompt injection, jailbreak attempts, PII or PHI exposure, and other unsafe behavior before it reaches a model or end user. Openlayer Governance connects organizational AI policies to technical controls. Teams can maintain an AI inventory, assign own
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Software Engineers, AI Engineers, Data Scientists, Product Managers	Audience Enterprise teams building, deploying, or governing AI systems, including AI and digital leaders, engineering and machine learning teams, security teams, risk and compliance leaders, GRC teams, data scientists, and finance teams. Openlayer is built for organizations that need to evaluate, monitor, secure, govern, and control LLMs, AI agents, RAG applications, and traditional machine learning systems across development and production.
Support Phone Support Not Supported 24/7 Live Support Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $29/month Generous free tier and Pro Plans starting at USD 29/month. Langfuse is open source so you will always be able to host the software yourself at no cost. Free Version Supported Free Trial Supported	Pricing No information available. Free Version Not Supported Free Trial Supported
Reviews/Ratings Overall 5.0 / 5 ease 4.0 / 5 features 5.0 / 5 design 4.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros I like that this is exclusively designed for LLMs only, so it takes a lot of clutter out of having to deal with features to do with rest of the models. Scores are very comprehensive including the ones related to query/response, ability to find rag relevance, cost related metrics which other tools typically do not offer and comprehensive trace function. Cons There wasn't much but if I have to highlight something here, self hosting was difficult. And the main dashboard can have drill downs to take it to relevant sections in traces/generations etc
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Langfuse Founded: 2023 Germany langfuse.com	Company Information Openlayer Founded: 2021 United States www.openlayer.com
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Categories AI Agent Observability Supported AI Observability Supported LLM Evaluation Supported Observability Supported Prompt Management Supported	Categories AI Agent Observability Supported AI Gateways Supported AI Governance Supported AI Guardrails Supported AI Observability Supported AI Usage Control Supported LLM Evaluation Supported LLM Routers Supported

Integrations LangChain Supported LiteLLM Supported OpenAI Supported Amazon Bedrock Not Supported Azure AI Speech Not Supported Claude Supported Claude Agent SDK Not Supported Claude Duet Supported Claude for Legal Supported GitHub Not Supported Hugging Face Supported IBM Watson Orchestrate Not Supported LlamaIndex Supported Mirascope Supported Mistral AI Not Supported OpenAI Agents SDK Not Supported Palantir AIP Not Supported Reflexio Supported Strands Agents Not Supported evalship Supported Show More Integrations View All 21 Integrations	Integrations LangChain Supported LiteLLM Supported OpenAI Supported Amazon Bedrock Supported Azure AI Speech Supported Claude Not Supported Claude Agent SDK Supported Claude Duet Not Supported Claude for Legal Not Supported GitHub Supported Hugging Face Not Supported IBM Watson Orchestrate Supported LlamaIndex Not Supported Mirascope Not Supported Mistral AI Supported OpenAI Agents SDK Supported Palantir AIP Supported Reflexio Not Supported Strands Agents Supported evalship Not Supported Show More Integrations View All 42 Integrations
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