Registry › Compare › Evidently vs Weights & Biases Weave

Evidently vs Weights & Biases Weave

Weights & Biases Weave leads on trust: 84.9/100 (Grade A) against 77.9/100 (Grade B), a 7.0-point gap. Evidently leads on adoption; Weights & Biases Weave leads on maintenance and supply-chain integrity.

B Evidently 77.9

Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

evidentlyai/evidently · #180 overall · #8 Observability & Evaluation · coverage A (4/5)

Choose Evidently if adoption matters most.

+2.0Adoption: 8k GitHub stars against 1.1k

A Weights & Biases Weave 84.9

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

wandb/weave · #87 overall · #3 Observability & Evaluation · coverage A (4/5)

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

+6.6Maintenance: last push today, against 4d ago
+3.4Safety / Integrity: OSSF Scorecard 6.2 against 3.4
+2.4Transparency: OSSF Scorecard 6.2 against 3.4

Where they differ

16.2

Safety / IntegrityWeights & Biases Weave +3.4

19.6

11.4

TransparencyWeights & Biases Weave +2.4

13.8

12.9

MaintenanceWeights & Biases Weave +6.6

19.5

16.4

AdoptionEvidently +2.0

14.4

+3.0

Runtime calibrationEvidently +3.4

-0.4

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Evidently 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	Evidentlyevidentlyai/evidently	Weights & Biases Weavewandb/weave
HVTrust score	77.9	84.9
Evidence grade	B	A
Coverage grade	A	A
Overall rank	#180	#87
Rank in Observability & Evaluation	#8	#3
GitHub stars	8.0k	1.1k
Last updated	4d ago	today
Build provenance	Yes	Yes
OSSF Scorecard	3.4 / 10	6.2 / 10
License	Apache-2.0	Apache-2.0
Downloads	205k/wk	213k/wk
Trust dimensions (points earned)
Safety / integrity / 25	16.2	19.6
Identity & provenance / 18	18.0	18.0
Transparency / 17	11.4	13.8
Maintenance / 20	12.9	19.5
Adoption / 20	16.4	14.4
Runtime capability surface (full matrix)
MCP server	—	Implemented
External providers	3 — Multi-provider (LiteLLM), OpenAI, Postgres	9 — Amazon Bedrock, Anthropic, Cohere, …
Requires API keys	No	No
Plugin surface	—	—
Provenance drift	Match	Partial

Open in the live compare tool → Evidently 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 →