Hobby
$0
Free cloud tier for individuals and early projects
- 50k units/month
- 30 days data access
- 2 users
- community support

Open-source platform to trace, evaluate and improve LLM applications and agents
Langfuse is an open-source LLM engineering platform for tracing, evaluating and improving AI applications and agents. It records hierarchical traces of model calls, tool invocations and retrieval steps, and lets teams filter them by user, session, cost, latency or metadata. Around that tracing layer it provides prompt management, evaluation (LLM-as-a-judge, heuristic checks and human annotation), datasets and experiments, a playground, and dashboards with alerts for cost and latency.
Plans as listed by the vendor on . Check their site for current prices.
$0
Free cloud tier for individuals and early projects
$29/month
Paid tier for small production teams
$199/month
Teams needing long retention and compliance reports
$2,499/month
Large organizations with security and support requirements
Scored out of 10 by the Finder Atlas editorial team.
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ClickHouse announced it acquired Langfuse; Langfuse remains open source with Cloud continuing as a standalone service.
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Yes. Langfuse is MIT licensed and free to self-host. ClickHouse said after acquiring the company that core features remain under the MIT license.
ClickHouse announced the acquisition of Langfuse in January 2026, alongside its Series D round. ClickHouse says Langfuse Cloud keeps operating as a standalone service with the same SLAs and support.
Plans are metered in units of ingested data. Hobby includes 50k units per month, and Core, Pro and Enterprise include 100k, with overage billed per 100k units.
Python and TypeScript have native SDKs, and Go, Java, .NET, Ruby, PHP and Swift can send data via OpenTelemetry. Integrations include LangChain, LlamaIndex, Vercel AI SDK, LiteLLM, OpenAI and many others.
Yes. Early-stage startups get 50% off the first year, research and students can get up to 100% off with limits, non-profits get $199 in monthly credits, and open-source projects get $300 in monthly credits for the first year.
Yes. Docker Compose is suggested for local setups, and Kubernetes (Helm) and Terraform templates cover production deployments on AWS, GCP and Azure.
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