Question 1

Is MLflow or Weights & Biases Weave more trustworthy?

Accepted Answer

On HVTracker's evidence-weighted HVTrust score, MLflow ranks higher (90.6 vs 83.9/100). Trust reflects verifiable supply-chain, transparency, maintenance, and adoption signals — not popularity.

Question 2

What is the difference between MLflow and Weights & Biases Weave?

Accepted Answer

MLflow (mlflow/mlflow) has an HVTrust score of 90.6 (Grade A) with 26.3k GitHub stars; Weights & Biases Weave (wandb/weave) scores 83.9 (Grade A) with 1.1k stars. Both are Observability & Evaluation.

Signal	MLflow	Weights & Biases Weave
HVTrust score	90.6	83.9
Evidence grade	A	A
Registry state	Listed	Listed
Safety / Integrity (25)	19.5	18.7
Identity / Provenance (18)	18.0	18.0
Transparency (17)	13.3	12.9
Maintenance (20)	19.9	19.9
Adoption (20)	19.9	14.4
GitHub stars	26.3k	1.1k
Weekly downloads	8,813,855	220,440
Last push	2026-06-03	2026-06-02
Language	Python	Python
OSSF Scorecard	5.6	5.2
Review flags	—	—
Recent change	2026-06-02: First tracked at rank #9	2026-05-29: Rank dropped 14 spots (#5 → #19)

MLflow vs Weights & Biases Weave