8 Best Langfuse Alternatives in 2026 (Open Source)

Langfuse — Open-source LLM engineering platform for observability, evaluation, prompt and dataset management. Unlike LangSmith (LangChain-specific) or Helicone (proxy-based), Langfuse is fully open-source, framework-agnostic, and self-hostable, combining tracing, prompt management, evaluations, and datasets in a single platform built on ClickHouse for scalable production use.

Short answer

  • Closest match to Langfuse: phoenix.
  • Most actively developed: Agenta (8,893 commits in the last 90 days).
  • Fastest growing: Opik (+607 GitHub stars in the last 30 days).

These 8 open-source tools do the same job. They are ordered by how closely they match Langfuse, with live GitHub data so you can see which projects are actively maintained.

ToolGitHub starsStars / 30dLast commit
Langfuse(original)35.3k+1,8122026-10-02
phoenix11.7k+4162026-10-02
Agenta4.8k+1302026-10-02
OpenLIT2.8k+772026-10-01
helicone6.2k+1332026-09-16
Opik22.3k+6072026-10-02
TensorZero11.7k+892026-06-04
Pezzo3.3k+102026-08-21
OpenLLMetry7.5k+812026-09-29
  1. 1. phoenix

    AI Observability & Evaluation

    What sets it apart: Full-stack AI observability (tracing + eval + datasets + prompt management) in one open-source platform — vs LangSmith which is closed-source and LangChain-specific

    Best for: Debugging and monitoring LLM applications in production; Systematic prompt engineering and experiment tracking

  2. 2. Agenta

    The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

    What sets it apart: Unified open-source LLMOps platform combining prompt playground, version control, 20+ evaluators, and OTel-native observability in one tool — vs separate tools for each

    Best for: Teams needing integrated prompt management + evaluation + observability; Product teams collaborating with SMEs on prompt engineering; Organizations wanting open-source LLMOps alternative

  3. 3. OpenLIT

    Open-source platform for AI agent tracing, evaluations, guardrails, prompts, and GPU monitoring

    What sets it apart: Most comprehensive open-source AI engineering platform — combines observability, 11 evaluation types, rule engine, prompt hub, secret vault, playground, and fleet management in one tool

    Best for: Teams wanting all-in-one LLM platform (observability + eval + prompts + secrets); Organizations needing self-hosted AI engineering platform; Multi-language teams (Python/TS/Go SDK support)

  4. 4. helicone

    🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

    What sets it apart: vs LangSmith/Braintrust: Combined AI Gateway + Observability platform with one-line integration, generous free tier, unified access to 100+ models, and built-in prompt versioning - Y Combinator backed

    Best for: Teams needing unified observability across multiple LLM providers; Production AI apps requiring cost tracking and prompt management; Developers wanting a single API gateway for 100+ models

  5. 5. Opik

    Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

    What sets it apart: Full-lifecycle LLM platform combining tracing, evaluation, and optimization — uniquely includes Agent Optimizer and Guardrails alongside observability, unlike trace-only tools like LangSmith

    Best for: Teams needing end-to-end LLM observability from development to production; Automated LLM evaluation and quality assurance in CI/CD pipelines

  6. 6. TensorZero

    TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

    What sets it apart: Only LLM gateway that combines inference, observability, evaluation, and optimization in one Rust-based system with data flywheel — vs LiteLLM (routing only) or Langfuse (observability only)

    Best for: Teams wanting a unified LLM gateway with built-in optimization feedback loop; Production systems needing <1ms latency overhead at scale; Organizations wanting to continuously improve LLM performance from production data

  7. 7. Pezzo

    🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

    What sets it apart: Pezzo combines open-source prompt management and delivery with observability, troubleshooting, and caching in one LLMOps platform.

    Best for: Developers operating LLM applications; Teams collaborating on prompts; Teams seeking a self-hosted LLMOps stack

  8. 8. OpenLLMetry

    Open-source observability for your GenAI or LLM application, based on OpenTelemetry

    What sets it apart: The OTel-native LLM observability standard — semantic conventions now part of official OpenTelemetry, with widest LLM provider + observability destination coverage

    Best for: Teams needing LLM observability in existing OTel infrastructure; Production LLM apps requiring cost/latency monitoring; Organizations using multiple LLM providers

FAQ

What are the best alternatives to Langfuse?
The closest open-source alternatives to Langfuse are phoenix, Agenta and OpenLIT, followed by helicone, Opik and TensorZero. They are ranked by how closely they match what Langfuse does.
Which Langfuse alternative is the most popular?
Opik has the most GitHub stars among Langfuse alternatives, with 22,334 stars.
Which Langfuse alternative is the most actively maintained?
By recent activity, Agenta (8,893 commits in the last 90 days) is the most actively developed alternative.