📖 The AI Tool Bible

Kiln AI vs Weights & Biases

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Kiln AI
Evaluation
Weights & Biases
Evaluation
TaglineOpen-source workbench for building, evaluating, and fine-tuning AI agents across 190+ models.The ML experiment tracker, now with LLM eval features.
CategoryEvaluationEvaluation
PricingFreemium· Free Individual tier; Team (request access); Enterprise (custom)Freemium· Free personal; team from $50/mo per seat
ModelMulti-modelPlatform (any LLM)
Editorial score—8.4 / 10
Use cases
llm-evaluationfine-tuningagent-developmentsynthetic-dataragprompt-optimization
ML experimentsLLM evalWeave
Pros
  • MIT-licensed Python library with 4,500+ GitHub stars
  • Local-first desktop app with Git-versioned datasets
  • Supports 190+ models across OpenAI, Anthropic, Gemini, Ollama, Bedrock
  • Covers build, eval, and fine-tune in one workbench
  • Genuine free tier, not a time-limited trial
  • Industry-standard for ML tracking
  • Weave adds LLM-native eval
  • Mature, reliable
  • Strong enterprise features
Cons
  • Best Pro features (auto-optimization, AI assistant) are rate-limited on free tier
  • Team tier is request-access, not self-serve
  • Desktop-first means it's less collaborative than fully-hosted eval platforms
  • Heavier UX than LLM-native tools
  • LLM features still catching up
Websitekiln.techwandb.ai
Pick Kiln AI if
  • ✅ MIT-licensed Python library with 4,500+ GitHub stars
  • ✅ Local-first desktop app with Git-versioned datasets
  • ✅ Supports 190+ models across OpenAI, Anthropic, Gemini, Ollama, Bedrock
  • ✅ Covers build, eval, and fine-tune in one workbench
Pick Weights & Biases if
  • ✅ Industry-standard for ML tracking
  • ✅ Weave adds LLM-native eval
  • ✅ Mature, reliable
  • ✅ Strong enterprise features
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