Comparison

Arize AI vs MLflow

On the evidence we track, MLflow leads this comparison with a composite score of 76/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Arize AI full profile →MLflow full profile →

Machine formatsJSON Markdown GraphQLor send Accept: application/json

Arize AI71

★MLflow76

Attribute comparison across 2 tools
Attribute	Arize AI	MLflowLeader
Vioscale score	71 / 100low · 32%updating	76 / 100medium · 63%updating
Pricing
Free tierpricing.free_tier	-	✓
Modelpricing.model	commercial	commercial
Price levelpricing.price_level	-	free
Transparentpricing.transparent	-	✓
Integrations
Countintegrations.count	25	15
Security
Gdprsecurity.gdpr	✓	-
Hipaasecurity.hipaa	✓	-
Iso27001security.iso27001	✓	-
Pcisecurity.pci	✓	-
Scorecardsecurity.scorecard	-	5.5
Soc2security.soc2	✓	-
Vulnerabilitiessecurity.vulnerabilities	-	Count: 80 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100 · Last 12m: 27 · Max severity: CRITICAL
Reliability
Status pagereliability.status_page	✓	-
Adoption
Dependent reposadoption.dependent_repos	-	5,089
Github starsadoption.github_stars	-	27,687
Package downloads weeklyadoption.package_downloads_weekly	-	9,993,245
Activity
Commits last 30dactivity.commits_last_30d	-	100
Release
Cadence daysrelease.cadence_days	-	10
Historyrelease.history	-	20 items
License
Spdxlicense.spdx	-	Apache-2.0
Language
Primarylanguage.primary	-	Python

Score

Vioscale score

Arize AI71 / 100low · 32%updating

MLflow76 / 100medium · 63%updating

Pricing

Free tier

Arize AI–

MLflow✓

Model

Arize AIcommercial

MLflowcommercial

Price level

Arize AI–

MLflowfree

Transparent

Arize AI–

MLflow✓

Integrations

Count

Arize AI25

MLflow15

Security

Gdpr

Arize AI✓

MLflow–

Hipaa

Arize AI✓

MLflow–

Iso27001

Arize AI✓

MLflow–

Pci

Arize AI✓

MLflow–

Scorecard

Arize AI–

MLflow5.5

Soc2

Arize AI✓

MLflow–

Vulnerabilities

Arize AI–

MLflowCount: 80 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100 · Last 12m: 27 · Max severity: CRITICAL

Reliability

Status page

Arize AI✓

MLflow–

Adoption

Dependent repos

Arize AI–

MLflow5,089

Github stars

Arize AI–

MLflow27,687

Package downloads weekly

Arize AI–

MLflow9,993,245

Activity

Commits last 30d

Arize AI–

MLflow100

Release

Cadence days

Arize AI–

MLflow10

History

Arize AI–

MLflow20 items

License

Spdx

Arize AI–

MLflowApache-2.0

Language

Primary

Arize AI–

MLflowPython

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Capability comparison for MLOps & LLMOps Tools
Capability	Arize AI	MLflow
Core
Tool role	End-to-end ML platform	End-to-end ML platform
Deployment
Self-hostable / OSS core	✓	✓
Managed cloud available	✓	✓
On-prem / VPC deployment	✓	✓
Observability
LLM tracing / observability	✓	✓
Evaluation (offline / LLM-judge / human)	✓	✓
Dev
Prompt management + versioning	✓	✓
Tracking
Experiment tracking / model registry	✓	✓
Serving
Model serving / inference endpoint	-	✓
Interop
OpenTelemetry / OpenLLMetry compatible	✓	✓
Framework-agnostic	✓	✓
Gateway
Multi-provider model support	✓	✓
Data
No-train-on-customer-data guarantee	-	-

Core

Tool role

Arize AIEnd-to-end ML platform

MLflowEnd-to-end ML platform

Deployment

Self-hostable / OSS core

Arize AI✓

MLflow✓

Managed cloud available

Arize AI✓

MLflow✓

On-prem / VPC deployment

Arize AI✓

MLflow✓

Observability

LLM tracing / observability

Arize AI✓

MLflow✓

Evaluation (offline / LLM-judge / human)

Arize AI✓

MLflow✓

Dev

Prompt management + versioning

Arize AI✓

MLflow✓

Tracking

Experiment tracking / model registry

Arize AI✓

MLflow✓

Serving

Model serving / inference endpoint

Arize AI-

MLflow✓

Interop

OpenTelemetry / OpenLLMetry compatible

Arize AI✓

MLflow✓

Framework-agnostic

Arize AI✓

MLflow✓

Gateway

Multi-provider model support

Arize AI✓

MLflow✓

Data

No-train-on-customer-data guarantee

Arize AI-

MLflow-

What each one is

The product in its own terms, so the numbers below have context.

Arize AI

An AI engineering platform that enables teams to observe agent behavior end-to-end, run evaluations at scale, and systematically improve agents through testing and experimentation, available as both a managed cloud service and self-hosted deployment.

Independently observed

MLflow

Leader

A comprehensive, open-source platform that provides experiment tracking, model registry, LLM tracing, prompt management, and deployment capabilities across the complete machine learning and AI lifecycle

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Arize AI

Pricing not documented yet.

MLflow

Leader

Open sourceFree tier

as of 2026-08-14verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platform and deployment support comparison
Supports	Arize AI	MLflow
WebPlatforms	✓	✓
CLIPlatforms	✓	✓
Cloud / SaaSDeployment	✓	✗
Self-hostedDeployment	✓	✓
On-premiseDeployment	✓	✓

Platforms

Web

Arize AI✓

MLflow✓

CLI

Arize AI✓

MLflow✓

Deployment

Cloud / SaaS

Arize AI✓

MLflow✗

Self-hosted

Arize AI✓

MLflow✓

On-premise

Arize AI✓

MLflow✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (6)

OpenAI
Anthropic
Gemini
LiteLLM
Claude Code
Databricks

Arize AI

25 total - 19 not shared

Azure OpenAI
AWS Bedrock
Vertex AI
Google GenAI
NVIDIA NIM
OpenRouter
Cursor
OpenCode
LangGraph
Vercel AI SDK
Mastra
CrewAI
LlamaIndex
DSPy
OpenAI Agents SDK
Claude Agent SDK
BigQuery
Snowflake
OpenTelemetry

Independently observed

MLflow

Leader

28 total - 22 not shared

AWS S3
Google Cloud Storage
Azure Storage
AzureML
Kubernetes
LangChain
Pydantic AI
Anthropic Claude
Google Gemini
SAP AI Core
JFrog
Aliyun
PostgreSQL
MySQL
MSSQL
OpenAI Codex
Ollama
OpenClaw
Qwen Code
Amazon S3
OpenTelemetry/OTLP
OpenAI-compatible endpoints

Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.