Observability & Evaluation comparison

Best Open-Source Observability & Evaluation: Promptfoo vs MLflow

A data-backed comparison of the top two observability & evaluation on HVTracker, built from public trust signals rather than stars alone.

July 6, 2026 · 4 min read · Data updated 2026-10-13 08:09 UTC

Short answer: Promptfoo currently leads MLflow on HVTracker's evidence-weighted trust score: 92.1 vs 89.6/100. This is not a popularity ranking; it combines supply-chain safety, identity/provenance, transparency, maintenance, and adoption signals.

Promptfoo

92.1
#9 overall · #1 in Observability & Evaluation · Grade A

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.

Repositorypromptfoo/promptfoo
Stars26.0k
Last push2026-10-13
Weekly commits649
Weekly downloads910,362

MLflow

89.6
#26 overall · #2 in Observability & Evaluation · Grade A

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.

Repositorymlflow/mlflow
Stars28.4k
Last push2026-10-13
Weekly commits467
Weekly downloads4,538,400

Promptfoo vs MLflow: trust signal breakdown

Both projects are tracked in the Observability & Evaluation category, but they do not expose the same evidence. The table below compares the public signals that feed HVTrust.

SignalPromptfooMLflow
HVTrust score92.189.6
Safety / Integrity21.6/2519.4/25
Identity / Provenance18.0/1818.0/18
Transparency14.7/1713.2/17
Maintenance20.0/2020.0/20
Adoption18.5/2019.6/20
OSSF Scorecard7.35.5
Signed commits100%100%
Package provenanceVerifiedVerified

Which one should you evaluate first?

If your priority is the most verifiable trust profile today, start with Promptfoo. It has the stronger current HVTrust score and ranks higher in Observability & Evaluation. If your use case depends on a specific runtime, language, license, or integration model, use the individual profiles rather than the headline score alone.

For production use, the practical checklist is: inspect the security policy, confirm package provenance or release signing where available, review recent maintenance cadence, and compare the exact trust breakdown. HVTracker is meant to reduce the first-pass research burden, not replace your own risk review.