Registry › Compare › Arize Phoenix vs Weights & Biases Weave

Arize Phoenix vs Weights & Biases Weave

Weights & Biases Weave leads on trust: 84.8/100 (Grade A) against 76.9/100 (Grade B), a 7.9-point gap. Arize Phoenix leads on maintenance and adoption; Weights & Biases Weave leads on supply-chain integrity and transparency.

B Arize Phoenix 76.9

AI Observability & Evaluation

Arize-AI/phoenix · #215 overall · #8 Observability & Evaluation · coverage A (4/5)

Choose Arize Phoenix if maintenance and adoption matter most.

+1.6Adoption: 11.9k GitHub stars against 1.1k
+0.7Maintenance: last push today, against 1d ago

A Weights & Biases Weave 84.8

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

wandb/weave · #98 overall · #5 Observability & Evaluation · coverage A (4/5)

Choose Weights & Biases Weave if supply-chain integrity and transparency matter most.

+7.2Safety / Integrity
+5.4Transparency

Where they differ

12.5

Safety / IntegrityWeights & Biases Weave +7.2

19.7

8.5

TransparencyWeights & Biases Weave +5.4

13.9

20.0

MaintenanceArize Phoenix +0.7

19.3

16.7

AdoptionArize Phoenix +1.6

15.1

+1.2

Runtime calibrationArize Phoenix +2.4

-1.2

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Arize Phoenix and Weights & Biases Weave, two Observability & Evaluation projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal	Arize PhoenixArize-AI/phoenix	Weights & Biases Weavewandb/weave
HVTrust score	76.9	84.8
Evidence grade	B	A
Coverage grade	A	A
Overall rank	#215	#98
Rank in Observability & Evaluation	#8	#5
GitHub stars	11.9k	1.1k
Last updated	today	1d ago
Build provenance	Yes	Yes
OSSF Scorecard	—	6.3 / 10
License	NOASSERTION	Apache-2.0
Downloads	167k/wk	676k/wk
Trust dimensions (points earned)
Safety / integrity / 25	12.5	19.7
Identity & provenance / 18	18.0	18.0
Transparency / 17	8.5	13.9
Maintenance / 20	20.0	19.3
Adoption / 20	16.7	15.1
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	6 — Amazon Bedrock, Anthropic, E2B, …	8 — Amazon Bedrock, Anthropic, Cohere, …
Requires API keys	No	Yes
Plugin surface	plugins	—
Provenance drift	Partial	Partial

Open in the live compare tool → Arize Phoenix profile Weights & Biases Weave profile More Observability & Evaluation →

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →