RegistryCompare › MLflow vs Weights & Biases Weave

MLflow vs Weights & Biases Weave

An independent, evidence-based trust comparison of MLflow 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.

MLflow leads on trust — 88.2/100 (Grade A) vs 86.4/100 (Grade A), a 1.8-point gap. Full breakdown below.
Signal MLflowmlflow/mlflow Weights & Biases Weavewandb/weave
HVTrust score 88.2 86.4
Evidence grade A A
Coverage grade A A
Overall rank #17 #27
Rank in Observability & Evaluation #1 #2
GitHub stars 27.1k 1.1k
Last updated 1d ago 2d ago
Build provenance Yes Yes
OSSF Scorecard 5.5 / 10 6.4 / 10
License Apache-2.0 Apache-2.0
Downloads 8.8M/wk 612k/wk
Trust dimensions (points earned)
Safety / integrity / 25 19.4 20.4
Identity & provenance / 18 18.0 18.0
Transparency / 17 13.2 13.9
Maintenance / 20 19.9 19.9
Adoption / 20 19.9 15.0
Runtime capability surface (full matrix)
MCP server Implemented Implemented
External providers 5 — Amazon Bedrock, Anthropic, Google Gemini, … 6 — Amazon Bedrock, Anthropic, E2B, …
Requires API keys No No
Plugin surface plugins
Provenance drift Unknown Partial
Open in the live compare tool → MLflow 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 v4.2 →