The best Arize Phoenix alternatives
8 tools that do a similar job to Arize Phoenix, 3 of them open source. Each entry says what it does and who it suits, so you can pick the one that fits instead of the most famous.
You're replacing
Arize PhoenixAn open-source tool for tracing, evaluating and experimenting with LLM and agent applications, built on OpenTelemetry.
- 1
Langfuse
AI tool · Open source
An open-source LLM engineering platform for tracing, prompt management, evaluations and cost tracking.
Best for: Tracing LLM apps in production; Self-hosted prompt management
- 2
Confident AI (DeepEval)
AI tool · Freemium
The cloud platform behind DeepEval, an open-source framework for unit-testing LLM outputs with ready-made metrics.
Best for: Pytest-style LLM tests; RAG evaluation metrics
- 3
LangSmith
AI tool · Freemium
LangChain's platform for tracing, evaluating and monitoring LLM apps, with a prompt hub and playground.
Best for: LangChain and LangGraph users; Dataset-based evaluation
- 4
Opik
AI tool · Open source
Comet's open-source platform for logging, evaluating and monitoring LLM apps, including prompt optimisation.
Best for: Open-source tracing and evals; Automated prompt optimisation
- 5

promptfoo
Open source · MIT · ★ 26.7k
CLI and library for testing LLM prompts and red-teaming AI apps, with declarative configs.
Best for: Developers building apps on top of LLM APIs who want repeatable prompt tests; Teams comparing several models side by side on the same prompts
- 6
Braintrust
AI tool · Freemium
An evaluation and observability platform for scoring prompts and models against datasets and monitoring production.
Best for: Systematic evals before shipping; Comparing prompt versions with scores
- 7
Helicone
AI tool · Freemium
An open-source LLM observability proxy that logs requests, costs and latency with a one-line integration.
Best for: Quick cost and usage visibility; Caching and rate limiting LLM calls
- 8
W&B Weave
AI tool · Freemium
Weights & Biases' toolkit for tracing, evaluating and comparing LLM application versions.
Best for: Teams already on Weights & Biases; Evaluation leaderboards across versions
How we pick: tools in the same category that solve the same problem, projects that name each other as alternatives, and open-source projects that describe themselves as an alternative to Arize Phoenix. We don't take payment for placement.