Registry › Compare › MLflow vs Promptfoo

MLflow vs Promptfoo

Both are Grade A and 2.6 points apart, so choose on what you weigh most. MLflow leads on adoption; Promptfoo leads on supply-chain integrity and transparency.

A MLflow 89.6

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

Choose MLflow if adoption matters most.

+1.1Adoption: 4.7M weekly downloads against 905.4k

A Promptfoo 92.2

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.

promptfoo/promptfoo · #8 overall · #1 Observability & Evaluation · coverage A (4/5)

Choose Promptfoo if supply-chain integrity and transparency matter most.

+2.3Safety / Integrity: OSSF Scorecard 7.4 against 5.5
+1.6Transparency: OSSF Scorecard 7.4 against 5.5

Where they differ

19.4

Safety / IntegrityPromptfoo +2.3

21.7

13.2

TransparencyPromptfoo +1.6

14.8

19.6

AdoptionMLflow +1.1

18.5

-0.6

Runtime calibrationMLflow +0.2

-0.8

2 dimensions identical: Identity 18.0 · Maintenance 20.0 · Full evidence table

An independent, evidence-based trust comparison of MLflow and Promptfoo, 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	MLflowmlflow/mlflow	Promptfoopromptfoo/promptfoo
HVTrust score	89.6	92.2
Evidence grade	A	A
Coverage grade	A	A
Overall rank	#22	#8
Rank in Observability & Evaluation	#2	#1
GitHub stars	28.2k	25.7k
Last updated	today	today
Build provenance	Yes	Yes
OSSF Scorecard	5.5 / 10	7.4 / 10
License	Apache-2.0	MIT
Downloads	4.7M/wk	905k/wk
Trust dimensions (points earned)
Safety / integrity / 25	19.4	21.7
Identity & provenance / 18	18.0	18.0
Transparency / 17	13.2	14.8
Maintenance / 20	20.0	20.0
Adoption / 20	19.6	18.5
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	3 — Amazon Bedrock, Anthropic, Postgres	3 — Amazon Bedrock, Anthropic, OpenAI
Requires API keys	No	Yes
Plugin surface	plugins	plugins
Provenance drift	Unknown	Match

Open in the live compare tool → MLflow profile Promptfoo 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 →