Skip to content

HoneyHive vs LangSmith

A side-by-side comparison of HoneyHive and LangSmith, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

HoneyHive

Eval

The observability and evaluation layer for production AI agents.

View HoneyHive

LangSmith

Observability

LangChain's hosted observability + eval platform.

View LangSmith

At a glance

Feature comparison of HoneyHive and LangSmith
AttributeHoneyHiveLangSmith
Category (differs)EvalObservability
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)Web, API, CLIAPI, Web
Model supportModel-agnosticModel-agnostic
Vendor (differs)HoneyHiveLangChain

The honest brief

HoneyHive

OpenTelemetry-native loop that turns production failures into test cases, with strong human-evaluation tooling.

  • Unifies tracing and evaluation
  • OTel-native, framework-agnostic
  • Failures auto-become test cases
  • Robust human eval + annotation
  • Generous free Developer tier
  • SaaS-only (self-host = Enterprise)
  • No built-in caching
  • Newer, smaller ecosystem
  • UI less mature than incumbents

LangSmith

Deepest native LangChain/LangGraph tracing — but cloud-only, where Langfuse lets you self-host the same.

  • Native LangChain/LangGraph tracing
  • Works standalone via SDKs
  • Datasets + eval orchestration
  • Prompt playground built in
  • Closed source, cloud-only
  • Self-host is Enterprise-only
  • Best value inside LangChain stack