RegistryCompare › Agenta vs MLflow

Agenta vs MLflow

An independent, evidence-based trust comparison of Agenta and MLflow, 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 — 89.6/100 (Grade A) vs 68.4/100 (Grade B), a 21.2-point gap. Full breakdown below.
Signal AgentaAgenta-AI/agenta MLflowmlflow/mlflow
HVTrust score 68.4 89.6
Evidence grade B A
Coverage grade A A
Overall rank #139 #16
Rank in Observability & Evaluation #11 #2
GitHub stars 4.8k 28.1k
Last updated today today
Build provenance No Yes
OSSF Scorecard 6.7 / 10 5.5 / 10
License NOASSERTION Apache-2.0
Downloads 4k/wk 4.6M/wk
Trust dimensions (points earned)
Safety / integrity / 25 9.1 19.4
Identity & provenance / 18 10.8 18.0
Transparency / 17 14.2 13.2
Maintenance / 20 20.0 20.0
Adoption / 20 13.7 19.6
Runtime capability surface (full matrix)
MCP server Declared Implemented
External providers 6 — Amazon Bedrock, Google Gemini, Multi-provider (LiteLLM), … 3 — Amazon Bedrock, Anthropic, Postgres
Requires API keys No No
Plugin surface extensions plugins
Provenance drift Match Unknown
Open in the live compare tool → Agenta profile MLflow 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 v4.3 →