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GalileoDon't just monitor AI failures. Stop them.
vs
MLflowThe open source AI engineering platform for agents, LLMs and ML models
Comparison · MLOps Platforms · weekly run Nov 2

Galileo vs MLflow

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

MLflow is the stronger AI pick in MLOps Platforms: it has a visibility score of 50.9 versus 0.4 for Galileo, and ranks ahead in 100% of the answers that name both.

Choose Galileo if…

  • You need SOC 2 Type II coverage

Choose MLflow if…

  • You want the brand AI engines rank higher (50.9 vs 0.4)
  • AI answers describe it more positively (44% vs 0% positive)
  • free open-source software with no license fee
  • widely adopted MLOps standard and baseline

AI visibility side by side

Latest weekly run · Nov 2

Metric Galileo MLflow
Visibility score0.4%50.9%
Change vs last weekNewNew
Rank in MLOps Platforms#48#1
Share of voice0.2%9.7%
Mentions this run165
Positive in AI answers0%44%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Galileo 0%

Galileo 0pp · MLflow 0pp over 0 weekly runs.

Engine by engine

MLflow leads on 3 of 3 engines

ChatGPT
0%
48.5%
AI Mode
1.3%
60.6%
Perplexity
0%
43.7%
GalileoMLflow

Head to head in AI answers

1 engine answers name both brands

0Galileo ranked higher
1MLflow ranked higher
PromptEngineGalileoMLflow
How much does an MLOps platform cost per month? AI Mode#6#1

Features, pricing & fit

DimensionGalileoMLflow
DeploymentSaaS, Virtual Private Cloud, On-PremisesSelf-hosted from the open source package, started with one command or Docker.
Integrations—100+
ComplianceSOC 2 Type II—
Support—Documentation, Community Slack, Mailing list mlflow-users@googlegroups.com, GitHub
Founded—2018
Headquarters—San Francisco, CA, United States
FundingSeries B · $68M raised—
Best forAI teams running GenAI applications and agents at enterprise scaleTeams of all sizes building LLM applications, agents and ML models who want open source tooling without vendor lock-in.

Pros and cons

Themes from the AI answers that mention each brand

Galileo

Profile in progress.

MLflow

  • free open-source software with no license fee
  • widely adopted MLOps standard and baseline
  • experiment tracking and model registry
  • portability and avoiding cloud or vendor lock-in
  • strong free starting point for small teams
  • requires DevOps capability and significant infrastructure and integration work
  • lower rating of about 4.3/5

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “Galileo vs MLflow”, https://slateindex.ai/compare/galileo-vs-mlflow, data of Nov 2, 2026. Licence: CC BY 4.0.