Arize Phoenix
Open-source LLM and agent observability built on OpenTelemetry.
Open-source LLM observability and prompt management for chatbots and RAG
Lunary is a lightweight, Apache 2.0 open-source LLM observability platform for chatbots and RAG, offering tracing, prompt management, and evaluation, self-hostable or via a free-tier cloud.
Lunary is an open-source observability and analytics platform for LLM applications, with a focus on chatbots and retrieval-augmented generation. It provides request tracing, prompt management and versioning, evaluations, and user analytics, giving teams visibility into how their AI features behave in production. Because it is model-independent, it works across providers and integrates cleanly with frameworks like LangChain and OpenAI's agent tooling. Released under the Apache 2.0 license, Lunary can be self-hosted for full data control with no per-event costs, which appeals to teams with privacy or budget constraints. For those who prefer managed hosting, Lunary Cloud offers a free tier for low volumes and paid plans as usage grows. Its lightweight design makes it a fast path from zero to basic observability, positioning it as a practical open-source alternative to heavier LLMOps suites for smaller teams and side projects.
Lunary is a lightweight open-source LLM observability platform for chatbots and RAG, offering tracing, prompt management, and evals, self-hostable or via a free-tier cloud.
Lunary develops an open-source observability and analytics platform for LLM applications, emphasizing simplicity and data control. It targets teams building chatbots and RAG systems who want visibility without heavyweight tooling.
The project's Apache 2.0 license and self-hosting option distinguish it from closed LLMOps suites, while Lunary Cloud provides a managed path with a free tier.
Lunary offers request tracing, prompt management and versioning, evaluations, and user analytics, all model-agnostic and integrated with LangChain and OpenAI tooling.
Teams can self-host with no per-event cost or use the cloud, making it a quick way to add observability to chatbot and RAG applications.
Startups, indie developers, and privacy-conscious teams building chatbots and RAG applications who want lightweight, open-source observability.
Developers building chatbots and RAG apps.
Startup engineering leads and founders.
Open-source LLMOps practitioners.
Small to mid-size teams wanting open-source, self-hostable LLM observability for chat and RAG.
Independent open-source project with a commercial cloud; funding details should be verified with the vendor.
Yes. Lunary is released under the Apache 2.0 license and can be self-hosted for full data control with no per-event fees.
It is optimized for chatbot and RAG applications, providing tracing, prompt management, and evaluation.
Yes. You can self-host for free, and Lunary Cloud offers a free tier with a limited number of daily events.
Lunary is model-agnostic and integrates with LangChain, OpenAI agents, and tools like LiteLLM.
Lunary Cloud starts around $30/month for paid plans above the free tier, with pricing scaling by usage; confirm current rates with the vendor.
Side-by-side pages for pricing, features, and best-fit use cases.
Open-source LLM and agent observability built on OpenTelemetry.
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Open-source LLM evaluation framework with pytest-style testing.
Open-source evaluation toolkit for RAG and LLM applications.