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ToolWeights & Biases/10 trustVerified
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Weave

W&B's toolkit for tracing and evaluating LLM apps.

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About

Weave is Weights & Biases' toolkit for LLM development: trace every model call, score outputs with evaluations, and iterate on prompts and models — integrated with the W&B platform teams already use for ML experiment tracking. 817k PyPI downloads/month, Apache-2.0. The GitHub star count (1.1k) understates its reach — it ships as a library, not a destination repo. Choose it if you're already in the W&B ecosystem; otherwise Langfuse or Opik have larger standalone communities.

What it can do

  • **Tracing**: automatic capture of LLM calls and costs
  • **Evaluations**: score outputs, compare runs
  • **Prompt versioning**: track what changed
  • **W&B integration**: same platform as your training runs
  • **Apache-2.0**: open toolkit

Setup

```bash

pip install weave

```

```python

import weave

weave.init("my-project")

@weave.op()

def call_llm(prompt: str) -> str: ...

```

Docs: weave-docs.wandb.ai.

Prerequisites

Python 3.9+. W&B account for the hosted dashboard (or self-hosted).

Use cases

tracingevaluationobservabilityprompt engineering

Works with

customGeneric API

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: 1,140 GitHub stars (log-scaled vs catalog peers); blended with ~817,064 monthly package downloads; last push 0d ago; 33 releases/12mo; 198 open issues. Manual review: W&B's LLM tracing/eval toolkit, 817k PyPI/mo; only 1.1k stars — mindshare trails Langfuse/Opik; W&B funnel shapes it. License: Apache-2.0.

★ 1,140 GitHub stars

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
6.8/10
Maintenance · recency, releases, issue load
8.2/10
Openness · license + docs
10.0/10
Manual review · sanity read + red-flag check
7.0/10
  • · 1,140 GitHub stars (log-scaled vs catalog peers)
  • · blended with ~817,064 monthly package downloads
  • · last push 0d ago; 33 releases/12mo; 198 open issues
  • · manual review: W&B's LLM tracing/eval toolkit, 817k PyPI/mo; only 1.1k stars — mindshare trails Langfuse/Opik; W&B funnel shapes it

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.