8 Best Opik Alternatives in 2026 (Open Source)

Opik — Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. Full-lifecycle LLM platform combining tracing, evaluation, and optimization — uniquely includes Agent Optimizer and Guardrails alongside observability, unlike trace-only tools like LangSmith

Short answer

  • Closest match to Opik: Langfuse.
  • Most actively developed: Agenta (8,893 commits in the last 90 days).
  • Fastest growing: Langfuse (+1,812 GitHub stars in the last 30 days).
  • No commit in 6+ months: UpTrain.

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

ToolGitHub starsStars / 30dLast commit
Opik(original)22.3k+6072026-10-02
Langfuse35.3k+1,8122026-10-02
phoenix11.7k+4162026-10-02
langwatch4.9k+2752026-10-02
helicone6.2k+1332026-09-16
UpTrain2.4k+42024-07-29
Agenta4.8k+1302026-10-02
TensorZero11.7k+892026-06-04
OpenLIT2.8k+772026-10-01
  1. 1. Langfuse

    Open-source LLM engineering platform for observability, evaluation, prompt and dataset management

    What sets it apart: 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.

    Best for: Teams operating production LLM applications who need tracing, prompt management, and evaluation in one platform; Organizations requiring self-hosted LLM observability for data privacy compliance

  2. 2. 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

  3. 3. langwatch

    The platform for LLM evaluations and AI agent testing

    What sets it apart: Unified platform combining agent simulation, evaluation, observability, and prompt optimization with OpenTelemetry-native design — vs separate tools for tracing (Langfuse), eval (DeepEval), and prompt management

    Best for: Teams wanting eval + observability + prompt management in one tool; Agent simulation testing before production deployment; Organizations needing OpenTelemetry-native LLM observability

  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. UpTrain

    Open-source platform to evaluate and improve generative AI applications with 20+ preconfigured evaluations

    What sets it apart: vs generic eval tools: 20+ preconfigured evaluations with customizable prompts, few-shot examples, and scenario descriptions — all running locally for data privacy with root cause analysis on failures

    Best for: RAG system evaluation and quality assurance; LLM application testing before production deployment; Safety and security testing for prompt injection vulnerabilities

  6. 6. 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

  7. 7. 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

  8. 8. 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)

FAQ

What are the best alternatives to Opik?
The closest open-source alternatives to Opik are Langfuse, phoenix and langwatch, followed by helicone, UpTrain and Agenta. They are ranked by how closely they match what Opik does.
Which Opik alternative is the most popular?
Langfuse has the most GitHub stars among Opik alternatives, with 35,301 stars.
Which Opik alternative is the most actively maintained?
By recent activity, Agenta (8,893 commits in the last 90 days) is the most actively developed alternative.
8 Best Opik Alternatives in 2026 (Open Source)