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Langfuse

Appears in 10 awesome lists

The most widely adopted self-hostable LLM observability platform: traces every agent step, manages prompt versions, and runs evals in one tool. Preferred over cloud-only alternatives when data residency or cost control is a constraint.

Open github.comlangfuse/langfuse

Found in these lists

Awesome Ai Agents 2026

Section: Tracing and Monitoring · OSS LLM observability. Traces, evals, prompts.

ActiveScore 74

Awesome Ai Sdks

Section: Links

ActiveScore 70

awesome-ChatGPT-repositories

Section: Prompts · 🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

FreshScore 87

Awesome Harness Engineering

Section: Observability & Tracing · The most widely adopted self-hostable LLM observability platform: traces every agent step, manages prompt versions, and runs evals in one tool. Preferred over cloud-only alternatives when data residency or cost control is a constraint.

FreshScore 88

Awesome LLMOps

Section: LLMOps · Open Source LLM Engineering Platform: Traces, evals, prompt management and metrics to debug and improve your LLM application.

ActiveScore 75

Awesome local LLM

Section: Testing, Evaluation and Observability · an open-source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more

FreshScore 87

Awesome Open Source AI

Section: 8. MLOps / LLMOps & Production · #1 open-source LLM observability platform.

FreshScore 89

Awesome Production Machine Learning

Section: Evaluation and Monitoring · Langfuse is an observability & analytics solution for LLM-based applications.

FreshScore 92

Awesome Prompts

Section: Eval & Observability · Open-source LLM engineering platform — tracing, evals, prompt management, A/B experiments.

FreshScore 90

Awesome AI Agents: Tools, Resources, and Projects

Section: Repositories · Langfuse, an open-source LLM engineering platform, offers debugging, prompt management, metrics for LLM apps improvement, and won the #1 Golden Kitty in the AI Infra Category from Product Hunt github | website | twitter | discord

SlowScore 68

promptfoo

Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD

In 11 listsDetails

Langfuse

LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents. (Demo, Source Code, Clients) MIT Docker

In 10 listsDetails

Prompt Engineering Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

In 11 listsDetails

Phoenix

Open-source AI observability & evaluation platform (Arize) — OpenTelemetry-native tracing for agents, LLM-as-judge evals, versioned datasets & experiments for prompt regression testing, prompt management with version control and replay, plus an MCP endpoint so Claude Code/Cursor can query traces…

In 10 listsDetails

DocsGPT

Private AI platform for building intelligent agents and assistants with enterprise search. Features Agent Builder, deep research tools, multi-format document analysis, and multi-model support. MIT licensed.

In 10 listsDetails

DemoGPT

DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree.

In 9 listsDetails

Helicone

Open-source LLM observability proxy (YC W23) with the largest open-source pricing database (300+ models). One-line proxy integration provides cost tracking, token monitoring, session tracing, and prompt versioning across providers. The AI Gateway component handles request routing and caching with…

In 8 listsDetails

Portkey AI Gateway

🟢🟠 — Open AI gateway with provider routing, fallback and retry controls, guardrail integrations, observability, and MCP traffic support for model and agent applications. (Portkey) — note: the gateway is general infrastructure rather than a standalone security scanner; model-provider…

In 6 listsDetails