Langfuse vs. Netra Comparison


Langfuse	Netra	+	+
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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 AI agents fail silently in production. Wrong answers, broken loops, cost spikes, behavior drift after a prompt change, and no stack trace to explain why. Netra is the single platform to trace, evaluate, simulate and security test your agents. Built for text, voice, image and video agents. SOC2 Type II certified. GDPR and HIPAA compliant. US and EU data residency. Integrates with: LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI, Anthropic, Gemini, AWS Bedrock, and 30+ more.
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 Supported Chromebook Not Supported
Audience Software Engineers, AI Engineers, Data Scientists, Product Managers	Audience Teams building AI agents and Agentic AI products
Support Phone Support Not Supported 24/7 Live Support Supported Online Supported	Support Phone Support Not 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 No images available
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 $39/month 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 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 4.0 / 5 support 5.0 / 5 Read all reviews
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	Pros & Cons from Real Users Pros ==Simulation mode lets you stress-test agents before production. You can spin up multi-turn conversations with defined personas and goals, auto-evaluated against fact-checking criteria you set. Instead of manual testing or hoping users find the edge cases, you run realistic scenarios and see where agents fail. Saves weeks of "what if" testing. Evaluation framework is actually repeatable. Not just pass/fail. You're measuring model quality, reasoning accuracy, tool correctness, output reliability—with metrics that stick across runs. That means you can compare versions, track improvements, and catch regressions before they hit users. Alerting catches problems you'd otherwise miss. Cost spikes, performance drops, safety violations, weird agent behavior—real-time notifications instead of discovering issues in production. That's table stakes for shipping anything at scale. Works across the whole ecosystem. OpenTelemetry standards, integrations with OpenAI, Claude, Anthropic, vector databases, LangChain, LlamaIndex. Not locked into one vendor. Multi-tenancy for SaaS applications. Voice traces for voice pipelines too, if that's your stack. Netra handles both text and voice traces end-to-end. Text captures LLM calls, tool executions, vector searches. Voice pipelines trace the full chain: speech-to-text, reasoning, text-to-speech. One platform for observing how your agents think and communicate, no matter the modality. That's rare. Cons SDK integration is non-negotiable overhead. You can't just drop this in and observe magically. Netra requires explicit instrumentation across your codebase. Multi-language support helps, but you're still looking at integration work across services. That's friction most teams don't have budget for on day one. Less public mindshare than competitors. Datadog, New Relic, LangSmith get more air time. Netra doesn't have the same community gravity or case study library. Fewer public comparisons, less blog coverage, smaller forum. That means fewer answers when you hit problems and harder time recruiting help from people who already know the tool. The documentation is excellent and so is the customer support
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 Netra Founded: 2025 getnetra.ai/
Alternatives AgentOps	Alternatives LangChain
Arize AI	Future AGI
Athina AI	Traccia Algen AI
Orq.ai	HumanLayer
Maxim View All	Atla View All
Categories AI Agent Observability Supported AI Observability Supported LLM Evaluation Supported Observability Supported Prompt Management Supported	Categories AI Agent Observability Supported

Integrations LangChain Supported LlamaIndex Supported Claude Supported CrewAI Not Supported Dograh Supported Flowise Supported Hugging Face Supported Lamatic.ai Supported LiteLLM Supported Mirascope Supported Netguru Omega Supported OpenAI Supported OpenTelemetry Not Supported TierZero Supported Voker Supported Workers by Delos Supported Show More Integrations View All 14 Integrations	Integrations LangChain Supported LlamaIndex Supported Claude Not Supported CrewAI Supported Dograh Not Supported Flowise Not Supported Hugging Face Not Supported Lamatic.ai Not Supported LiteLLM Not Supported Mirascope Not Supported Netguru Omega Not Supported OpenAI Not Supported OpenTelemetry Supported TierZero Not Supported Voker Not Supported Workers by Delos Not Supported Show More Integrations View All 4 Integrations
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