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AI · September 17, 2024

Opik, an open source LLM evaluation framework

Hey HN! I'm Caleb, one of the contributors to Opik, a new open source framework for LLM evaluations. Over the last few months, my colleagues and I have been working on a project to solve what we see as the most painful parts of writing evals for an LLM application. For this initial release, we've focused on a few core features that we think are the most essential: - Simplifying the implementation of more complex LLM-based evaluation metrics, like Hallucination and Moderation. - Enabling step-by-step tracking, such that you can test and debug each individual component of your LLM application,…

Opik, an open source LLM evaluation framework launched on September 17, 2024 with 86 votes, #516 of 5,281 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.

Visit github.com ↗Alternativestop 10% of September 2024

In plain words

Opik is an open source framework for evaluating large language model applications. It simplifies creating complex evaluation metrics like hallucination and moderation detection, enables step-by-step tracking to debug individual components, and provides APIs for running evaluations in CI/CD pipelines as model unit tests. The framework also includes a UI for scoring and annotating logged data. It's designed for developers building and testing LLM applications.

written from the facts on this page · September 2026

From the sources

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

In the maker’s words, at launch

Hey HN! I'm Caleb, one of the contributors to Opik, a new open source framework for LLM evaluations. Over the last few months, my colleagues and I have been working on a project to solve what we see as the most painful parts of writing evals for an LLM application. For this initial release, we've focused on a few…

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