Product / UX / Telemetry & observability

Weave

Toolkit for developing and monitoring AI-powered applications, built by Weights & Biases. Provides tracing, evaluation, and dataset management for LLM applications. Leverages W&B's established ML experiment tracking platform and enterprise customer base. Code is open source (Apache-2.0) but primarily consumed via the W&B cloud platform. 1.1K GitHub stars.

W&B Weave; OSS SDK v0.52.42 (Jun 2, 2026) confirmed live on GitHub (wandb/weave). LLM tracing + evaluation + monitoring layered onto the commercial W&B platform.

Openness

4 high confidence

4.0

license: Apache-2.0(OSI, SDK/client repo wandb/weave)
source: public
backend: commercial(W&B SaaS platform hosts traces/evals
eval+tracing-client: OSS

Apache-2.0 OSS instrumentation SDK (@weave.op tracing + eval scoring) but the trace store / dashboards / monitoring backend is the proprietary W&B SaaS platform, open-core, calibrated below MLflow O5 (fully-OSS core) and at/with Langfuse O4 (OSS core + commercial backend).

https://github.com/wandb/weave recorded 2026-06-04
Apache-2.0 license on the Weave SDK repo; LLM logging/tracing/eval toolkit

Adoption

4 high confidence

4.0

~1.03M PyPI downloads in the last month for the `weave` package (primary: pypistats); rides the established W&B install base (ML teams adding LLM observability without leaving W&B). 1-10M monthly-download band.

https://pypistats.org/packages/weave recorded 2026-06-04
1,028,914 downloads last month for the weave package

Capability

4 medium confidence

4.0

Competent end-to-end tracing+eval suite; rated 4 = at the MLflow/Langfuse anchor tier on feature breadth, just short of frontier (lighter prompt-versioning + OTel story than Langfuse/MLflow per 2026 comparisons).

https://github.com/wandb/weave recorded 2026-06-04
logging/debugging LLM traces + rigorous evaluations feature set

Unchanged since 2026-06-24 (last edited, not re-checked)