Comparison

LangSmith vs Weights and Biases Weave

A like-for-like, spec-level comparison. Both entries are verified against their docs and repo.

LangSmith

LangChain's observability and eval platform.

  • + Best-in-class when you already use LangChain
  • + Strong tracing UX
  • − Proprietary and cloud-only
  • − Vendor lock-in to LangChain

Weights and Biases Weave

LLM tracing and eval inside W&B.

  • + Integrates with existing W&B experiment tracking
  • + Good for ML teams already on W&B
  • − Most useful only if you already use W&B
  • − Proprietary
Spec LangSmith Weights and Biases Weave
Category eval-observability eval-observability
License Proprietary Proprietary
Open source No No
Self-hostable No No
MCP support No No
Pricing freemium freemium
Starting price Free developer tier Free tier
Models multi multi
Languages python, typescript python, typescript
GitHub stars
Last activity