Weave
Toolkit for tracking and evaluating LLM applications
Weave is a lightweight toolkit from Weights & Biases for logging, tracing and evaluating LLM application calls. The tracing server component can be self-hosted to keep AI evaluation data on your own infrastructure.
Key features
- LLM call tracing
- Evaluation framework
- Self-hostable server
- Python-native
Strengths
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Active community (1.1k GitHub stars)
- Written in Python
Weave replaces
Compare Weave
18 head-to-head comparisons.
- Weave vs OpenClaw
- Weave vs Hermes Agent
- Weave vs OpenCode
- Weave vs Hugging Face Transformers
- Weave vs Langflow
- Weave vs Dify
- Weave vs PaddleOCR
- Weave vs RAGFlow
- Weave vs OpenHands
- Weave vs screenshot-to-code
- Weave vs Langfuse
- Weave vs promptfoo
- Weave vs DeepEval
- Weave vs Ragas
- Weave vs Prompt flow
- Weave vs Arize Phoenix
- Weave vs OpenLLMetry
- Weave vs Agenta
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