Weights & Biases Weave

Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.

Observability & Evaluation Python Grade A Listed Apache-2.0
Listing state
Listed
HVTrust
83.6/100 · Grade A
Last push
2026-06-04 · 0d ago
Recent change
Rank +6

Quick Trust Read

Verdict
Strong public trust posture, backed by multiple independent signals.
83.6/100 · Grade A
Strongest Signal
Identity / Provenance
18.0/18
Weakest Signal
Adoption
14.4/20
What Would Improve It
Improve adoption to lift the weakest part of the trust profile.
Recent Changes
2026-05-29
Rank Moved
Rank dropped 14 spots (#5 → #19)
2026-05-28
Rank Moved
Rank rose 125 spots (#130 → #5)
2026-05-28
HVTrust Changed
HVTrust up 4.4pts (80.6 → 85.0)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 5.0/10. Tighten the weakest checks to improve public safety evidence.
78.4
Activity Score · out of 100
83.6
HVTrust Score · out of 100
#26
Global Rank · of 203
#2

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade A reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Full methodology →

Signals refreshed 2026-06-04 20:15 UTC · Repo last pushed today

Rank Trend

2026-05-25 2026-06-04

Activity & Reach

Stars
1.1k
Forks
153
Last Push
2026-06-04
today
Commits (4 wk)
163
Downloads (7d)
218,416
pypi
HN mentions (30d)
0
Open Issues
399
Rank Change
▼1
was #25

Analysis

HVTrust Dimensions

83.6 / 100 · 100.0% confidence
Safety / IntegrityOSSF, provenance, signatures
18.4 / 25
Identity / ProvenanceListing and build link
18.0 / 18
TransparencyLicense and public checks
12.8 / 17
MaintenanceFreshness and commits
20.0 / 20
AdoptionStars and downloads
14.4 / 20

Activity Inputs

78.4 / 100
StarsRepository reach
18.2 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
10.2 / 20

Supply Chain Trust

Package Provenance
Verified
pypi attestation
OSSF Scorecard
5.0 / 10
via deps.dev · OpenSSF
Signed Commits
94%
of last 100 commits verified
Binary-Artifacts 10
Branch-Protection 4
CI-Tests 10
CII-Best-Practices 0
Code-Review 8
Contributors 10
Dangerous-Workflow 0
Dependency-Update-Tool 10
Fuzzing 0
License 10
Maintained 10
Packaging 10
Pinned-Dependencies 0
SAST 0
Security-Policy 10
Signed-Releases -1
Token-Permissions 0
Vulnerabilities 0

Is Weights & Biases Weave safe?

Public supply-chain signals for Weights & Biases Weave are strong: it has multiple independent trust indicators in place. This does not replace your own security review, but Weights & Biases Weave carries less obvious unverified-evidence risk than projects with thin signals.
Does Weights & Biases Weave publish package provenance?
Yes. Weights & Biases Weave's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.
Does Weights & Biases Weave have an OpenSSF Scorecard?
Weights & Biases Weave has an OpenSSF Scorecard score of 5.0/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.
Is Weights & Biases Weave actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does Weights & Biases Weave use?
Weights & Biases Weave ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Weights & Biases Weave's commits signed?
94% of the last 100 commits to Weights & Biases Weave are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

Compare Weights & Biases Weave head-to-head

Runtime trust — coming soon

HVTrust currently scores supply-chain signals. We're adding runtime trust next: what an agent actually does when it runs — what it can reach, which tools it carries, what external services it depends on. Track progress on the roadmap →

  • MCP support
  • Tool / plugin surface
  • External service deps
  • Package provenance drift

Maintain Weights & Biases Weave?

HVTrust scores Weights & Biases Weave from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Reputation Timeline

HVTrust 2Rank 2Listed 1Scorecard 1Score 1
2026-05-29
Rank Moved
Rank dropped 14 spots (#5 → #19)
2026-05-28
Rank Moved
Rank rose 125 spots (#130 → #5)
2026-05-28
HVTrust Changed
HVTrust up 4.4pts (80.6 → 85.0)
2026-05-28
Activity Score Changed
Activity score up 25pts (53 → 78)
2026-05-27
Scorecard Added
OSSF Scorecard: 5.2/10
2026-05-27
HVTrust Changed
HVTrust up 39.2pts (41.4 → 80.6)
2026-05-25
Newly Listed
First tracked at rank #131

Embed Badge Badge guide for maintainers →

HVTrust 83.6 Grade A
Markdown:
[![HVTrust](https://hvtracker.net/badge/weights-biases-weave.svg)](https://hvtracker.net/agents/weights-biases-weave)
HTML:
<a href="https://hvtracker.net/agents/weights-biases-weave"><img src="https://hvtracker.net/badge/weights-biases-weave.svg" alt="HVTrust"></a>

Other agents in Observability & Evaluation

Weights & Biases Weave head-to-head

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OSSF Scorecard via deps.dev · Algolia HN Search API
Each agent's signals refresh once daily across 6 staggered batches. Methodology v3.1 · Raw JSON