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Weave

Weights and Biases toolkit for tracking, evaluating, and debugging LLM applications and agent workflows.

by Weights and Biases·added 2026-04-27·
HarnessCLI
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://docs.wandb.ai/weave, https://github.com/JSONbored/awesome-claude/blob/main/content/tools/weave.mdx, https://wandb.ai/site/weave
Brand
Weave
Brand domain
wandb.ai
Brand asset source
brandfetch
Author
Weights and Biases
Claim status
unclaimed
Last verified
2026-04-27

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Required checks are still incomplete. Finish source and safety verification before adopting this resource.

Compare context
Selected

0

Current score

58

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Complete

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    Registry metadata indicates a reviewed listing.

    Done

Safety and privacy checks

Required checks missing

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    No safety notes listed.

    Pending
  • Privacy notes presentRequired

    No privacy notes listed.

    Pending
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

Copy & paste

Copy-ready — paste the snippet to get started.

Install command

Not provided

Config snippet

Not provided

Copy snippet

Provided

Prerequisites

None

Platforms

1 listed

Install type

Copy & paste

Adoption plan

Balanced adoption plan

Current risk score 44/100. Use staged verification before broader rollout.

Risk 44
Adoption blockers
  • Safety notes are missing.
  • Privacy notes are missing.

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    Listing has review metadata.

    Done
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes missing; review source code paths before execution.

    Pending
  • Review privacy notesRequired

    Privacy notes missing; inspect network/data behavior manually.

    Pending
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Safety notes. Risk score 36.

Risk 36

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Present

Review metadata is present.

Required in this preset

Safety notes

Missing

Safety notes are missing.

Required in this preset

Privacy notes

Missing

Privacy notes are missing.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Safety notes

Decision timeline

Decision timeline · balanced

Blocking gaps: Review safety notes. Risk 32.

Risk 32

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is available.

Done

verify

Review safety notesRequired

Safety notes are missing.

Pending

verify

Review privacy notes

Privacy notes are missing.

Pending

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Review safety notes

Schema details

Install type
copy
Troubleshooting
No
Tool listing metadata
Pricing
freemium
Disclosure
editorial
Application category
DeveloperApplication
Operating system
Web
Full copyable content
## Editorial notes

Weave belongs in the directory for teams already using W&B or needing experiment tracking around LLM behavior.

## Disclosure

Editorial listing. No paid placement or affiliate link is used.

About this resource

Editorial notes

Weave belongs in the directory for teams already using W&B or needing experiment tracking around LLM behavior.

Disclosure

Editorial listing. No paid placement or affiliate link is used.

Source citations

Add this badge to your README

Show that Weave is listed on HeyClaude. Paste this Markdown into your README — it renders the badge and links back to this page.

Listed on HeyClaude
[![Listed on HeyClaude](https://heyclau.de/badge/tools/weave.svg)](https://heyclau.de/entry/tools/weave)

How it compares

Weave side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

1 trust signal differ across this comparison (Submitter).

Field

Weights and Biases toolkit for tracking, evaluating, and debugging LLM applications and agent workflows.

Open dossier

Open-source observability platform and SDK for tracing, debugging, replaying, and cost-monitoring AI agent and LLM application runs.

Open dossier

Open-source observability and evaluation tooling for LLM applications, traces, datasets, and experiments.

Open dossier

Open-source LLM observability platform for logging, metrics, cost tracking, feedback, and gateway workflows.

Open dossier
Next steps
Trust
Review statusReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
SubmitterDiffersoktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety · Privacy · Safety Privacy Safety · Privacy · Safety · Privacy
BrandWeave logoWeaveAgentOps logoAgentOpsArize Phoenix logoArize PhoenixHelicone logoHelicone
Categorytoolstoolstoolstools
Sourcesource-backedsource-backedsource-backedsource-backed
AuthorWeights and BiasesAgentOpsArize AIHelicone
Added2026-04-272026-06-032026-04-272026-04-27
Platforms
CLI
CLI
CLI
CLI
Source repo
Safety notes— missingAgentOps instruments LLM calls, tools, operations, and agent workflows, so enable it intentionally in environments where captured traces are allowed. Cost and latency dashboards are useful for operations, but alerting and budget decisions still need human-reviewed thresholds. Self-hosted deployments require normal backend hardening for database access, secrets, authentication, and retained trace data.— missing— missing
Privacy notes— missingTraces can include prompts, completions, tool inputs, tool outputs, errors, costs, tokens, tags, and application metadata. The docs say AgentOps automatically collects basic host environment details such as OS, Python version, anonymized hostname, and SDK version. Hosted dashboard use sends telemetry to AgentOps infrastructure; self-hosted use still requires retention, access-control, and log-review policies.— missingWhen used as a proxy, Helicone sits in the request path and logs your LLM prompts, responses, and metadata (Helicone cloud or your self-hosted instance); review what request data is captured, keep secrets out of logged payloads, or use the self-hosted/async logging options.
Prerequisites— none listed
  • Python or TypeScript/JavaScript application using a supported LLM provider or agent framework.
  • AgentOps project/API key for hosted dashboard use, or a reviewed self-hosted deployment plan.
  • A telemetry policy for which prompts, responses, tool calls, metadata, and host details may be captured.
— none listed— none listed
Install
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