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Langfuse vs TraceRoot

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both have one
Public API
Both have one
Best fit
Langfuse: Engineering teams running LLM apps or agents in production who need traces and cost tracking · TraceRoot: Teams running agents in production who want traces, detectors and evals in one open-source tool
Trust score
About even — Langfuse 80, TraceRoot 81
Status
Both up at our last check — Langfuse Oct 29, 2026, TraceRoot Oct 2, 2026

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

LangfuseOpen-source LLM engineering platform for tracing agents, versioning prompts, running evals and tracking cost, hosted or self-hosted.TraceRootOpen-source tracing and eval layer that turns production agent failures into signals your coding agent can fix and verify.

Side by side

FactLangfuseTraceRoot
CategoryLLM Observability & EvaluationLLM Observability & Evaluation
Pricing modelFreemiumFreemium
Starts at$29/mo—
Public APIYesYes
Trust score80 / 10081 / 100
PlatformsWeb, APIWeb, API
CompanyLangfuse GmbHTraceRoot.AI
Launched20232025
Last verifiedOct 29, 2026Oct 2, 2026

What our research says

Langfuse

Langfuse is a strong default for teams that want tracing, prompt versioning and evaluations in one open-source tool, with the option to keep data on their own infrastructure. Teams that only want a hosted logging proxy with no SDK work, or that need guaranteed enterprise SSO without paying for add-ons, may find simpler or more bundled options.

Pros

  • MIT-licensed core that can be self-hosted without usage limits
  • Covers tracing, prompt management, evaluation and dashboards in one product
  • Generous free cloud tier and unlimited users from the $29 Core plan
  • OpenTelemetry support and SDKs for Python and JavaScript

Cons

  • Usage above the included 100k units is billed extra, so busy apps pay more than the headline price
  • Free tier keeps only 30 days of data and two users
  • Enterprise SSO and RBAC require the $300 Teams add-on on Pro or the Enterprise plan

TraceRoot

TraceRoot is for teams that want tracing plus a feedback loop wired to their coding agent, and that like being able to self-host. It is young, with a four-person team, and has repositioned from AI-assisted debugging to an improvement layer, so expect change. Pick a more established observability product if you need a long track record.

Pros

  • Open source with a documented self-hosting path using Docker Compose
  • Python and TypeScript SDKs plus an agent-oriented CLI
  • Links tracing, detection, signals and evals into one loop
  • Code outside the enterprise folders is Apache-2.0

Cons

  • Very young company with a small team
  • Positioning has shifted from bug-fixing agents to an improvement layer
  • Pricing was not readable on the vendor page at review time

Which one fits

Choose Langfuse if you need

  • Engineering teams running LLM apps or agents in production who need traces and cost tracking
  • Organisations that must self-host observability data for compliance
  • Teams that want prompts, datasets and evals tied to the same traces

Choose TraceRoot if you need

  • Teams running agents in production who want traces, detectors and evals in one open-source tool
  • Developers who want their coding agent to inspect traces and edit evals through a CLI

Langfuse vs TraceRoot: the questions people ask

Is Langfuse cheaper than TraceRoot?

Langfuse starts at $29/mo. TraceRoot has a free tier; what its paid plans cost is not confirmed by us yet.

Does Langfuse or TraceRoot have a free tier?

Both: Langfuse has a free tier, and TraceRoot has a free tier.

Which has a public API, Langfuse or TraceRoot?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

More comparisons

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