2026 · 10 alternatives ranked by fit
Explore the best alternatives to Phoenix. Compare features, pricing, and capabilities to find the perfect AI agent for your needs.
Before you switch
Phoenix is listed under AI Infrastructure & MLOps and Observability & Evaluation. 10 of the 10 alternatives below share at least one of those categories. Phoenix lists individual, startup and business as its audience; 10 of the 10 alternatives list at least one of the same.
Ranked alternatives
What each tool does, who it is for and how it is priced.
Langfuse is an open-source platform that helps you understand how your AI applications are working. It lets you see what's happening inside your Large Language Model (LLM) apps, find problems, and test new versions to make them better and more efficient.
Agenta is an open-source platform designed to help teams build reliable AI applications using large language models. It centralizes prompt management, testing, and monitoring, making it easier for developers, product managers, and experts to collaborate, experiment, and quickly fix any issues.
Portkey is a platform that gives AI teams all the tools they need to build and run their AI applications smoothly. It lets you connect to over 1,600 different AI models using one simple connection, helping you watch how your AI performs, keep it secure, manage costs, and handle your AI prompts efficiently, all in one place.
Restack helps large companies build, test, and manage AI agents. Product teams define how these AI tools behave and respond, while engineers ensure they run reliably and scale smoothly. It simplifies creating powerful, production-ready AI workflows for many users.
Arize AI helps engineers build and manage reliable AI agents and models. It offers a single platform to develop, evaluate, and monitor all types of AI, from traditional machine learning to modern generative AI, ensuring they work well in the real world.
Keywords AI is a single platform for building, testing, and monitoring AI applications, helping developers create reliable AI tools much faster. It lets you easily debug problems, manage prompts, and track performance to improve user experience.
LangSmith helps teams build reliable AI applications. It lets you trace your AI's steps to debug issues fast, monitor important metrics like cost and response quality, and discover common user patterns. This means you can quickly fix problems, understand what users want, and make your AI trustworthy.
Confident AI helps teams automatically test and monitor their AI applications, like chatbots and RAG pipelines, to make sure they always perform well. It helps you find and fix issues quickly, saving time and money, and ensures your AI keeps getting better.
LangWatch is an open-source platform that helps you build better AI. It lets you test and monitor your AI agents and large language models, catching problems like wrong answers before users do. This tool provides clear visibility into your AI's performance, ensuring it's reliable and works as expected.
AgentOps helps developers build, test, and run reliable AI agents and LLM apps. It offers clear visibility into agent actions, simplifying debugging, cost tracking, and performance assurance. You can monitor agent behavior, replay sessions, and manage deployments efficiently across over 400 AI frameworks.
The tool you are replacing
Phoenix is an open-source tool for AI developers to trace, evaluate, and optimize their Large Language Models (LLMs). It provides tools to understand how your AI makes decisions, experiment with prompts, and identify problems like incorrect outputs, helping you build more reliable and effective AI applications faster.