Open-Source AI · LLM / RAG framework

Guidance vs Phoenix

Guidance vs Phoenix compared for 2026 — features, license, ease of use, performance and which one to choose. Interleave control and generation vs Trace, evaluate and debug LLM apps.

Updated regularly · curated by OpenSourceAI.tech

Choose Guidance for developers scripting complex generation logic. Choose Phoenix for finding why a RAG pipeline fails.

Guidance vs Phoenix at a glance

SpecGuidancePhoenix
CategoryLLM / RAG frameworkLLM / RAG framework
TypeConstrained generation libraryLLM observability
LicenseMITElastic-2.0
Runs locallyCloud-optionalYes
Primary languagePythonPython
Ease of useAdvancedIntermediate
Best fordevelopers scripting complex generation logicfinding why a RAG pipeline fails
GitHub stars21.7k10.6k

How Guidance and Phoenix score

🤝 Too close to call — Guidance and Phoenix land within a hair (3.8 vs 4.0 / 5). Pick on fit, not on score.
CriterionGuidancePhoenix
Popularity3.53.0
Maintenance4.55.0
Ease of use2.53.5
Privacy3.55.0
License freedom5.03.5

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

Guidance

Constrained generation library · MIT

Guidance is a programming paradigm for steering LLMs that interleaves control flow with generation, with constrained decoding and rich templating.

  • Fine control interleaved with generation
  • Constrained decoding cuts token waste
  • Works with local and hosted models
See the Guidance page →

Phoenix

LLM observability · Elastic-2.0

Phoenix from Arize traces LLM applications, surfaces failure clusters and runs evaluations, all runnable locally in a notebook or as a server.

  • Runs locally, even in a notebook
  • Clusters failures to find patterns
  • Built-in LLM evaluators
See the Phoenix page →

Key differences

Guidance is constrained generation library, while Phoenix is lLM observability. Their licenses differ (MIT vs Elastic-2.0), which matters if you ship a commercial product. Guidance leans more advanced-friendly, whereas Phoenix is more suited to intermediate users. They also differ in how they run (Cloud-optional vs Yes). In short, Guidance fits developers scripting complex generation logic, and Phoenix fits finding why a RAG pipeline fails.

Which should you choose?

Choose Guidance for developers scripting complex generation logic. Choose Phoenix for finding why a RAG pipeline fails.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is Guidance or Phoenix easier to use?

Phoenix is generally the easier of the two to get started with, while Guidance rewards more setup with more control.

Are Guidance and Phoenix free?

Guidance is free and open source (MIT), and Phoenix is free and open source (Elastic-2.0). Neither charges for the core software.

Can I run Guidance and Phoenix locally?

Guidance: cloud-optional · Phoenix: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

Guidance vs Phoenix — which should I pick in 2026?

Choose Guidance for developers scripting complex generation logic. Choose Phoenix for finding why a RAG pipeline fails.

People also compare

Explore more open-source AI

Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.

Explore the directory →