Galileo vs LangGraph

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

What people use each for

The jobs each tool is most often brought in to do.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Pricing, plan by plan

Which should you pick?

Questions people ask

Is Galileo or LangGraph better?

Neither clearly leads. Galileo starts at Free and LangGraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, Galileo or LangGraph?

Galileo starts at Free and LangGraph at Free.

Does Galileo or LangGraph run on more platforms?

Galileo runs on web, api. LangGraph runs on Python, JavaScript, Web.

Can I use Galileo for free?

Both have a free tier, so you can try either at no cost before committing.

What is Galileo best used for?

Galileo is most often used for evaluating rag and agent applications before production release, monitoring live genai applications for failures and drift, applying real-time guardrails without custom integration work, reducing evaluation costs using distilled luna judge models. Of those, evaluating rag and agent applications before production release and monitoring live genai applications for failures and drift are not what LangGraph is typically brought in for.

What can Galileo do that LangGraph cannot?

Galileo covers Pre-built evaluations, Ground truth capture, Luna models, Agent behavior analysis. LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming.