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langfuse

langfuse/langfuse

Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

129views this month

35k stars3.8k forksLast push Sep 18, 2026 TypeScript Other

Decision brief

Langfuse is an open-source platform for evaluating and monitoring large language model applications, offering self-hosting options for local, VM, and Kubernetes environments.

Good fit when

When you need a self-hosted solution for evaluating and monitoring large language model applications, as Langfuse supports local, VM, and Kubernetes environments.
If you prefer an open-source platform with MIT licensing, except for the `ee` folders, which allows for greater flexibility and customization.

Avoid when

If you are looking for a fully managed service without the need for self-hosting, as Langfuse requires setting up and maintaining the infrastructure yourself.
When you need enterprise features that are not covered by the open-source version, as the `ee` folders are not open-source and may require additional licensing or services.

Observed Sep 18, 2026 · Source: enrich:decision_facts

langfuse alternatives Trust report

langfuse vs evidently langfuse vs mlflow langfuse vs langwatch

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (34,763) are secondary evidence.

npm downloads (30d): 7,228,039·npm downloads API·Sep 18, 2026
Docker Hub pulls (30d): 17,562,624·Docker Hub API·Sep 18, 2026

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): No lockfile; As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install langfuse

npm

How it fits your stack(25)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

mlflow

Both Langfuse and MLflow are platforms aimed at managing, evaluating and monitoring ML models and agents.

alternative

promptfoo

Both Promptfoo and Langfuse offer evaluation and observability for LLMs, but they do so through different methodologies and toolsets.

alternative

opik

Opik and Langfuse both provide AI observability, evaluation, metrics, and playground features for LLM applications.

alternative

Integrates

LLM-Engineers-Handbook

'Langfuse' focuses on observability and metrics for LLM pipelines which can integrate with the deployment strategies from 'LLM Engineer's Handbook'.

integrates

VLMEvalKit

Both VLMEvalKit and Langfuse aim at evaluating and maintaining large models, making them complementary tools within the evaluation ecosystem.

integrates

prometheus-eval

Both Prometheus-Eval and Langfuse focus on evaluating LLMs and providing observability for AI systems.

integrates

gitleaks

Langfuse is an open-source AI engineering platform for observability and metrics, whereas Gitleaks focuses on secret detection in git repositories. Both contribute to the overall security of AI development processes.

vector

Langfuse and Vector both focus on observability and monitoring tools which are critical for maintaining the performance of AI and data processing pipelines.

ragas

Both langfuse and ragas focus on observability, evaluation, and management of LLM applications, but their functionalities do not directly integrate or overlap to a level that would constitute an 'integrates_with' relationship.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

langflow

A tool for building and deploying AI-powered agents and workflows

155k★

deepeval

LLM Evaluation Framework.

18k★

logfire

AI observability platform for production LLM and agent systems

4.5k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Langfuse is an open-source platform for evaluating and monitoring large language model applications, offering self-hosting options for local, VM, and Kubernetes environments.

Capability facts

Deploy: Self-host
Source: dockerfile:docker-compose.yml · Sep 18, 2026
Docker: Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 18, 2026
CLI: CLI entrypoint
Source: package.json:bin|scripts · Sep 18, 2026
MCP server: No MCP server detected
Source: repo_scan · Sep 18, 2026
Languages: typescript, javascript
Source: github.language+package.json · Sep 18, 2026

Graph entities

LangChainframework AutoGenframework LiteLLMframework

README

Self Host Langfuse Run Langfuse on your own infrastructure: Local (docker compose): Run Langfuse on your own machine in 5 minutes using Docker Compose. VM: Run Langfuse on a single Virtual Machine using Docker Compose. Kubernetes (Helm): Run Langfuse on a Kubernetes cluster using...

For agents

This page has a .md twin and JSON over the API.

/tools/langfuse-langfuse.md GET /api/graphcanon/tools/langfuse-langfuse GET /api/graphcanon/graph?tool=langfuse-langfuse

langfuse

Decision brief

Good fit when

Avoid when

Verify the decision

Adoption

Maintenance and security

Install

How it fits your stack(25)

Alternative

Integrates

Related

Relationship graph

Similar tools

Evidence and technical details

Overview

Capability facts

Categories

Graph entities

Tags

README

For agents