Alternatives to Phoenix

OpenTelemetry-native open-source AI agent evaluation and tracing

Open-source LLM agent observability with tracing, evals, and experiments

Open-source LLM observability for tracing, evaluating, and optimizing AI agents end-to-end.

Open-source framework to replace vibe checks with reproducible, LLM-driven evaluation loops for RAG and agents.

Open-source AI evaluation and observability for LLMs, RAG, agents, and predictive ML.

Free, open-source AI observability and evals for debugging agents

Open source platform to debug, evaluate, monitor, and optimize AI agents and ML models.

Open-source workspace to build, evaluate, and deploy AI agents through chat

Open-source LLM & VLM evaluation platform for standardized benchmarking

OpenTelemetry-native observability with AI SRE Agent0 for automated production insight.

AI agent observability and evaluation platform for LLM apps

Open-source OpenTelemetry observability for Python LLM apps

Open-source AI observability for privacy-preserving logging and LLM security

PostHog is an open-source product OS that unifies analytics, session replay, feature flags, and a data warehouse in one platform.

Open-source LLM observability and evaluation for agentic AI, with real-time tracing, cost optimization, and auto-fix.

Open-source LLM observability and prompt management for AI engineering teams.

Free open-source desktop widget tracking tokens, cost, and limits across 29+ AI coding tools.

Free open-source AI usage tracking & analytics for developers

Open-source, OpenTelemetry-native LLM observability and AI engineering platform for teams.

Open-source Python library to track the real-time carbon footprint of your GenAI API calls.

Pre-built AI models for finance, from fraud detection to agentic workflow orchestration.

AI observability and evals that auto-fix agent code via git

Enterprise LLM evaluation, observability, and red teaming in one platform.

Enterprise AI control plane for observability, guardrails, and governance of agentic AI.

Simulate, evaluate, and observe AI agents—ship reliable agents 5x faster with Maxim.

Turn plain English into production-ready Honeycomb queries for faster debugging.

Real-time experiment tracking for frontier AI training, now owned by OpenAI

Enterprise ML monitoring and AI quality management, now part of Snowflake

Trace, debug, and deploy reliable AI agents with full observability

Active observability for AI agents: trace, evaluate, and discover patterns at scale.