# Alternatives to Langfuse

Langfuse is an open-source LLM engineering platform providing tracing, prompt management, evaluations, datasets, and analytics for LLM applications; self-hostable or cloud.

Langfuse ranks #2 of 8 in AI evaluation platforms, with an Alt Score of 100. It is licensed under MIT, open source with paid hosting from $29/month (USD) and available on the web. 13 of 13 checklist rows are verified against a public source.

Source: https://altcatalog.com/alternatives/langfuse/
Category: AI evaluation platforms

## Where Langfuse stands out

- **Open source** — 3 of 8 apps with a verified answer have this

## Overview

- **Who it's for**: AI engineering teams building LLM applications and agents who need observability, evaluation, and prompt management — from solo developers on the free Hobby cloud tier to enterprises wanting a self-hosted, data-sovereign deployment. It works with any LLM stack via OpenTelemetry-based SDKs and framework integrations (LangChain, LlamaIndex, Haystack, LiteLLM, Vercel AI SDK, and more).
- **What you get**: A unified LLM engineering platform covering application tracing and observability, prompt management (versioning, labels, a side-by-side playground, A/B testing via labels), evaluation (LLM-as-a-judge, code evaluators, human annotation queues, datasets and experiments including CI/CD gating), and metrics (custom dashboards, cost/token tracking, monitors and alerts on Cloud). Core product capabilities are MIT-licensed with no usage limits; a few enterprise-only modules (SCIM, audit logging, data retention policies) require a commercial license when self-hosting.
- **How it works**: Developers instrument their app with the Langfuse Python or JS/TS SDK (built on OpenTelemetry) or a native framework integration to send traces to either Langfuse Cloud or a self-hosted instance run via Docker Compose, Kubernetes/Helm, or Terraform on AWS/Azure/GCP. From there, teams manage and version prompts, run automated or human evaluations against datasets, gate releases with CI/CD experiments, and monitor cost, quality, and latency through dashboards and the metrics API.

## Profile

- **License**: MIT (verified 2026-07-17)
- **Pricing model**: OSS + paid hosting (verified 2026-07-17)
- **Starts at**: $29/month (USD) (verified 2026-07-17)
- **Platforms**: Web
- **Status**: active (verified 2026-07-17)

## Ranked alternatives

| # | App | Alt Score | Licence | Platforms |
|---|-----|-----------|---------|-----------|
| 1 | [Comet Opik](https://altcatalog.com/alternatives/comet-opik.md) | 100 | Apache-2.0 | Web |
| 2 | [Arize Phoenix](https://altcatalog.com/alternatives/arize-phoenix.md) | 96 | Elastic License 2.0 (ELv2) | Web |
| 3 | [Braintrust](https://altcatalog.com/alternatives/braintrust.md) | 96 | Proprietary (platform); MIT (autoevals library) | Web |
| 4 | [HoneyHive](https://altcatalog.com/alternatives/honeyhive.md) | 93 | Proprietary | Web |
| 5 | [LangSmith](https://altcatalog.com/alternatives/langsmith.md) | 93 | Proprietary (platform); MIT (client SDK) | Web |
| 6 | [W&B Weave](https://altcatalog.com/alternatives/wandb-weave.md) | 93 | Apache-2.0 | Web |
| 7 | [Helicone](https://altcatalog.com/alternatives/helicone.md) | 76 | Apache License 2.0 | Web |

Alt Score = Verified coverage (90%) + Visibility (10%). See https://altcatalog.com/how-alt-score-works/

## Feature comparison

Legend: Yes / No / Partial / ? (not verified).

| AI evaluation platforms checklist | Langfuse | Comet Opik | Arize Phoenix | Braintrust | HoneyHive | LangSmith |
|---|---|---|---|---|---|---|
| Pricing model | OSS + paid hosting | OSS + paid hosting | Free | Freemium | Freemium | Freemium |
| Starts at | $29/month (USD) | $19/month (USD) | Free | $249/month | Free | $39/seat/mo |
| License | MIT | Apache-2.0 | Elastic License 2.0 (ELv2) | Proprietary (platform); MIT (autoevals library) | Proprietary | Proprietary (platform); MIT (client SDK) |
| Platforms | Web | Web | Web | Web | Web | Web |
| Open source | Yes | Yes | Partial | Partial | No | No |
| Self-hostable | Yes | Yes | Yes | Yes | Yes | Yes |
| Tracing / observability | Yes | Yes | Yes | Yes | Yes | Yes |
| Prompt playground & versioning | Yes | Yes | Yes | Yes | Yes | Yes |
| Dataset management | Yes | Yes | Yes | Yes | Yes | Yes |
| LLM-as-judge evals | Yes | Yes | Yes | Yes | Yes | Yes |
| Human annotation / review | Yes | Yes | Yes | Yes | Yes | Yes |
| Online (production) monitoring | Yes | Yes | Yes | Yes | Yes | Yes |
| A/B experiments | Yes | Yes | Yes | Yes | Yes | Yes |
| CI / regression testing | Yes | Yes | Yes | Yes | Yes | Yes |
| Cost & token tracking | Yes | Yes | Yes | Yes | Yes | Yes |
| Framework-agnostic SDK | Yes | Yes | Yes | Yes | Yes | Yes |
| Free tier | Yes | Yes | Yes | Yes | Yes | Yes |

## Sources

Sources for Langfuse. Each alternative is sourced on its own page.

- **Pricing model**: OSS + paid hosting — <https://langfuse.com/pricing> (verified 2026-07-17)
  - Quote: “Get started on the Hobby plan for free. No credit card required. Langfuse Cloud (we host) Self-hosted (you host)”
- **Starts at**: $29/month (USD) — <https://langfuse.com/pricing> (verified 2026-07-17)
  - Note: Cheapest paid Langfuse Cloud tier (Core). The Hobby cloud tier and self-hosting are free.
  - Quote: “Core For production projects. Longer data access and unlimited users. $29 / month”
- **Platforms**: Web — <https://langfuse.com/self-hosting> (verified 2026-07-17)
  - Note: Accessed via web app (cloud or self-hosted); Python/JS SDKs are not part of the platforms enum.
  - Quote: “Langfuse Web: The main web application serving the Langfuse UI and APIs.”
- **Status**: active — <https://raw.githubusercontent.com/langfuse/langfuse/main/README.md> (verified 2026-07-17)
  - Quote: “Langfuse is growing fast (we doubled the team in the last 6 months) - since January 2026 we're part of ClickHouse, we're hiring engineering hybrid across the EU.”
- **License**: MIT — <https://raw.githubusercontent.com/langfuse/langfuse/main/LICENSE> (verified 2026-07-17)
  - Note: MIT Expat" license as defined below." — Core platform is MIT licensed; code under ee/, web/src/ee/, worker/src/ee/ directories is licensed separately under ee/LICENSE (Enterprise Edition modules like SCIM, audit logging, data retention poli
  - Quote: “Content outside of the above mentioned directories or restrictions above is available under the ”
- **Open source**: Yes — <https://langfuse.com/docs/open-source> (verified 2026-07-17)
  - Quote: “All product capabilities—tracing, evaluations, prompt management, experiments, annotation, the playground, and more—are MIT licensed without any usage limits.”
- **Self-hostable**: Yes — <https://langfuse.com/self-hosting> (verified 2026-07-17)
  - Quote: “Langfuse is open source and can be self-hosted using Docker. This section contains guides for different deployment scenarios.”
- **Tracing / observability**: Yes — <https://langfuse.com/docs/observability/overview> (verified 2026-07-17)
  - Quote: “The core of this is application tracing — structured logs of every request that capture the exact prompt sent, the model's response, token usage, latency, and any tools or retrieval steps in between. ”
- **Prompt playground & versioning**: Yes — <https://langfuse.com/docs/prompt-management/features/prompt-version-control> (verified 2026-07-17)
  - Note: Playground confirmed separately: 'Test and iterate on your prompts directly in the Langfuse Prompt Playground' (https://langfuse.com/docs/prompt-management/features/playground).
  - Quote: “Each prompt version is automatically assigned a version ID. Additionally, you can assign labels to follow your own versioning scheme.”
- **Dataset management**: Yes — <https://langfuse.com/docs/evaluation/experiments/datasets> (verified 2026-07-17)
  - Quote: “A dataset is a collection of inputs and expected outputs and is used to test your application.”
- **LLM-as-judge evals**: Yes — <https://langfuse.com/docs/evaluation/evaluation-methods/llm-as-a-judge> (verified 2026-07-17)
  - Quote: “LLM-as-a-Judge is an evaluation methodology where an LLM is used to assess the quality of outputs produced by another LLM application.”
- **Human annotation / review**: Yes — <https://langfuse.com/docs/evaluation/evaluation-methods/annotation-queues> (verified 2026-07-17)
  - Quote: “Annotation Queues are a manual evaluation method which is built for domain experts to add scores and comments to traces, observations or sessions.”
- **Online (production) monitoring**: Yes — <https://langfuse.com/docs/metrics/features/monitors> (verified 2026-07-17)
  - Note: Monitors are noted as 'available on Langfuse Cloud only'; self-hosted deployments still get production tracing, metrics API and custom dashboards per the Metrics overview page.
  - Quote: “Monitors allow you to catch cost and quality issues before they impact your users. You can receive notifications over Slack, trigger GitHub Actions, or call your own Webhooks.”
- **A/B experiments**: Yes — <https://langfuse.com/docs/prompt-management/features/a-b-testing> (verified 2026-07-17)
  - Quote: “Langfuse Prompt Management enables A/B testing by allowing you to label different versions of a prompt (e.g., prod-a and prod-b). Your application can randomly alternate between these versions, while ”
- **CI / regression testing**: Yes — <https://langfuse.com/docs/evaluation/experiments/experiments-ci-cd> (verified 2026-07-17)
  - Quote: “Use Langfuse experiments in your CI/CD pipeline to catch quality regressions before they ship.”
- **Cost & token tracking**: Yes — <https://langfuse.com/docs/observability/features/token-and-cost-tracking> (verified 2026-07-17)
  - Quote: “Langfuse tracks the usage and costs of your LLM generations and provides breakdowns by usage types.”
- **Framework-agnostic SDK**: Yes — <https://langfuse.com/docs/sdk> (verified 2026-07-17)
  - Note: README also lists native integrations for LangChain, LlamaIndex, Haystack, LiteLLM, Vercel AI SDK, Mastra, and more.
  - Quote: “Based on OpenTelemetry , so you can use any OTEL-based instrumentation library for your LLM stack.”
- **Free tier**: Yes — <https://langfuse.com/pricing> (verified 2026-07-17)
  - Quote: “Hobby Get started, no credit card required. Great for hobby projects and POCs. Free”

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Ranked by verified data, never by who paid. https://altcatalog.com/trust/