Registry › Compare › Latitude vs MLflow

Latitude vs MLflow

MLflow leads on trust: 89.5/100 (Grade A) against 76.9/100 (Grade B), a 12.6-point gap. MLflow leads on supply-chain integrity and adoption, and rests on broader evidence.

B Latitude 76.9

Open-source observability for AI agents. Find where your agents fail, dispatch your coding agent to fix it, and verify the fix against real traces.

latitude-dev/latitude-llm · #210 overall · #8 Observability & Evaluation · coverage B (3/5)

Latitude doesn't lead on any scored dimension in this pair.

A MLflow 89.5

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

mlflow/mlflow · #25 overall · #2 Observability & Evaluation · coverage A (4/5)

Choose MLflow if supply-chain integrity and adoption matter most.

+7.4Safety / Integrity: 100% of recent commits signed, against 91%
+5.8Adoption: 4.6M weekly downloads against 5.4k
+4.7Transparency
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

Where they differ

12.0

Safety / IntegrityMLflow +7.4

19.4

8.5

TransparencyMLflow +4.7

13.2

13.8

AdoptionMLflow +5.8

19.6

+4.7

Runtime calibrationLatitude +5.3

-0.6

2 dimensions identical: Identity 18.0 · Maintenance 19.9 · Full evidence table

An independent, evidence-based trust comparison of Latitude 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.

Full evidence

Signal	Latitudelatitude-dev/latitude-llm	MLflowmlflow/mlflow
HVTrust score	76.9	89.5
Evidence grade	B	A
Coverage grade	B	A
Overall rank	#210	#25
Rank in Observability & Evaluation	#8	#2
GitHub stars	4.7k	28.3k
Last updated	2d ago	1d ago
Build provenance	Yes	Yes
OSSF Scorecard	—	5.5 / 10
License	MIT	Apache-2.0
Downloads	5k/wk	4.6M/wk
Trust dimensions (points earned)
Safety / integrity / 25	12.0	19.4
Identity & provenance / 18	18.0	18.0
Transparency / 17	8.5	13.2
Maintenance / 20	19.9	19.9
Adoption / 20	13.8	19.6
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	—	3 — Amazon Bedrock, Anthropic, Postgres
Requires API keys	Yes	No
Plugin surface	plugins	plugins
Provenance drift	Match	Unknown

Open in the live compare tool → Latitude 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 v4.4 →