Comparison

Laminar vs Weights and Biases Weave

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

Laminar

Open-source observability and eval for AI agents.

  • + Open source with a Rust core for performance
  • + Built-in eval and datasets
  • − Smaller community
  • − Newer project

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 Laminar Weights and Biases Weave
Category eval-observability eval-observability
License Apache-2.0 Proprietary
Open source Yes No
Self-hostable Yes No
MCP support No No
Pricing freemium freemium
Starting price Self-host free Free tier
Models multi multi
Languages typescript, rust python, typescript
GitHub stars 3.0k
Last activity 2026-06-25