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 score | 0.4% | 50.9% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #48 | #1 |
| Share of voice | 0.2% | 9.7% |
| Mentions this run | 1 | 65 |
| Positive in AI answers | 0% | 44% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Galileo 0pp · MLflow 0pp over 0 weekly runs.
Engine by engine
MLflow leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
GalileoMLflow
Head to head in AI answers
1 engine answers name both brands
0Galileo ranked higher
1MLflow ranked higher
| Prompt | Engine | Galileo | MLflow |
|---|---|---|---|
| How much does an MLOps platform cost per month? | AI Mode | #6 | #1 |
Features, pricing & fit
| Dimension | Galileo | MLflow |
|---|---|---|
| Deployment | SaaS, Virtual Private Cloud, On-Premises | Self-hosted from the open source package, started with one command or Docker. |
| Integrations | — | 100+ |
| Compliance | SOC 2 Type II | — |
| Support | — | Documentation, Community Slack, Mailing list mlflow-users@googlegroups.com, GitHub |
| Founded | — | 2018 |
| Headquarters | — | San Francisco, CA, United States |
| Funding | Series B · $68M raised | — |
| Best for | AI teams running GenAI applications and agents at enterprise scale | Teams 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.