Langfuse vs. StackSpend 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 StackSpend is a cloud and AI cost management platform that gives engineering, finance, and FinOps teams one daily view of the modern AI stack. It connects through read-only credentials to providers including AWS, Google Cloud, Azure, Snowflake, Vercel, ClickHouse Cloud, Elastic Cloud, OpenAI, Anthropic, Cursor, GitHub, Hugging Face, Grok, and Twilio, then automatically loads historical billing data and normalizes spend across services. Dashboards and explorers break costs down by provider, service, model, project, user, team, feature, and customer, helping teams understand AI COGS, cost per request, and product-level margins. Budgets and pace-to-forecast show where monthly spending is headed, while same-day anomaly detection catches unusual increases caused by traffic, prompt bugs, model changes, deployments, or individual users. Alerts and daily green, amber, or red spend signals can be delivered through Slack, Microsoft Teams, email, or webhooks.
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 Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Software Engineers, AI Engineers, Data Scientists, Product Managers	Audience Engineering, finance, and FinOps teams that need to forecast, budget, monitor, and act on cloud and AI spending across their technology stack
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 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 $23 per month Free Version Supported Free Trial Not 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 5.0 / 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 Super simple to use, aggregates across 9 of our cloud providers and helps us track $40k of monthly spend. Its paid for its self 50x over by helping us catch spend anomalies caused by engineering mistakes. I'd highly recommend for anyone running a SaaS engineering team. Cons Would like more features around forecasting to help with our cloud budgeting
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 StackSpend United States www.stackspend.app/
Alternatives AgentOps	Alternatives CloudQuell
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Athina AI	Mavvrik
Orq.ai	LLMeter
Maxim View All	FinOpsly View All
Categories AI Agent Observability Supported AI Observability Supported LLM Evaluation Supported Observability Supported Prompt Management Supported	Categories AI Cost Management Supported

Integrations Hugging Face Supported OpenAI Supported Amazon Web Services (AWS) Not Supported Claude Supported ClickHouse Not Supported Cursor Not Supported Databricks Not Supported Dograh Supported Flowise Supported Grok Not Supported Jira Not Supported Linear Not Supported LiteLLM Supported LlamaIndex Supported Mirascope Supported Netguru Omega Supported TierZero Supported Vercel Not Supported Vercel AI Gateway Not Supported Workers by Delos Supported Show More Integrations View All 14 Integrations	Integrations Hugging Face Supported OpenAI Supported Amazon Web Services (AWS) Supported Claude Not Supported ClickHouse Supported Cursor Supported Databricks Supported Dograh Not Supported Flowise Not Supported Grok Supported Jira Supported Linear Supported LiteLLM Not Supported LlamaIndex Not Supported Mirascope Not Supported Netguru Omega Not Supported TierZero Not Supported Vercel Supported Vercel AI Gateway Supported Workers by Delos Not Supported Show More Integrations View All 20 Integrations
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