Comparison

CrewAI vs MLflow

On the evidence we track, MLflow leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

CrewAI full profile →MLflow full profile →

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.

CrewAI65

★MLflow70

Attribute comparison across 2 tools
Attribute	CrewAI	MLflowLeader
vioscaleAI score	65 / 100medium · 67%	70 / 100medium · 67%
Pricing
Free tierpricing.free_tier	✓	✓
Modelpricing.model	freemium	open_source
Price levelpricing.price_level	low	free
Transparentpricing.transparent	✓	✓
Integrations
Countintegrations.count	18	9
Security
Certificationssecurity.certifications	FedRamp High, SAM Certified	-
Disclosure policysecurity.disclosure_policy	✓	-
Fedrampsecurity.fedramp	✓	-
Hipaasecurity.hipaa	✓	-
Scorecardsecurity.scorecard	-	5.4
Soc2security.soc2	✓	-
Trust centersecurity.trust_center	-	https://mlflow.org/articles/tags/ai-compliance-policies/
Vulnerabilitiessecurity.vulnerabilities	Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=crewai-clean&per_page=100 · Last 12m: 0	Count: 82 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100 · Last 12m: 29 · Max severity: CRITICAL
Reliability
Status pagereliability.status_page	✓	-
Adoption
Dependent reposadoption.dependent_repos	0	5,089
Github starsadoption.github_stars	59,661	28,260
Package downloads weeklyadoption.package_downloads_weekly	4,500,329	9,993,245
Activity
Commits last 30dactivity.commits_last_30d	100	100
Release
Cadence daysrelease.cadence_days	1	9
Historyrelease.history	20 items	20 items
License
Spdxlicense.spdx	MIT	Apache-2.0
Language
Primarylanguage.primary	Python	Python
Market
Availabilitymarket.availability	Available worldwide	-
Content
Faqcontent.faq	7 items	6 items

Score

vioscaleAI score

CrewAI65 / 100medium · 67%

MLflow70 / 100medium · 67%

Pricing

Free tier

CrewAI✓

MLflow✓

Model

CrewAIfreemium

MLflowopen_source

Price level

CrewAIlow

MLflowfree

Transparent

CrewAI✓

MLflow✓

Integrations

Count

CrewAI18

MLflow9

Security

Certifications

CrewAIFedRamp High, SAM Certified

MLflow–

Disclosure policy

CrewAI✓

MLflow–

Fedramp

CrewAI✓

MLflow–

Hipaa

CrewAI✓

MLflow–

Scorecard

CrewAI–

MLflow5.4

Soc2

CrewAI✓

MLflow–

Trust center

CrewAI–

MLflowhttps://mlflow.org/articles/tags/ai-compliance-policies/

Vulnerabilities

CrewAICount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=crewai-clean&per_page=100 · Last 12m: 0

MLflowCount: 82 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100 · Last 12m: 29 · Max severity: CRITICAL

Reliability

Status page

CrewAI✓

MLflow–

Adoption

Dependent repos

CrewAI0

MLflow5,089

Github stars

CrewAI59,661

MLflow28,260

Package downloads weekly

CrewAI4,500,329

MLflow9,993,245

Activity

Commits last 30d

CrewAI100

MLflow100

Release

Cadence days

CrewAI1

MLflow9

History

CrewAI20 items

MLflow20 items

License

Spdx

CrewAIMIT

MLflowApache-2.0

Language

Primary

CrewAIPython

MLflowPython

Market

Availability

CrewAIAvailable worldwide

MLflow–

Content

Faq

CrewAI7 items

MLflow6 items

Capabilities

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

Capability comparison for MLOps & LLMOps Tools
Capability	CrewAI	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	Unknown	-

Core

Tool role

CrewAIEnd-to-end ML platform

MLflowEnd-to-end ML platform

Deployment

Self-hostable / OSS core

CrewAI✓

MLflow✓

Managed cloud available

CrewAI✓

MLflow✓

On-prem / VPC deployment

CrewAI✓

MLflow✓

Observability

LLM tracing / observability

CrewAI✓

MLflow✓

Evaluation (offline / LLM-judge / human)

CrewAI✓

MLflow✓

Dev

Prompt management + versioning

CrewAI✓

MLflow✓

Tracking

Experiment tracking / model registry

CrewAI✓

MLflow✓

Serving

Model serving / inference endpoint

CrewAI✓

MLflow✓

Interop

OpenTelemetry / OpenLLMetry compatible

CrewAI✓

MLflow✓

Framework-agnostic

CrewAI✗

MLflow✓

Gateway

Multi-provider model support

CrewAI✓

MLflow✓

Data

No-train-on-customer-data guarantee

CrewAIUnknown

MLflow-

What each one is

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

CrewAI

CrewAI is a multi-agent automation framework that provides teams with tools to build complex agent workflows through a visual editor or code. It includes a unified control plane for managing production deployments with real-time tracing, governance policies, multi-LLM support, and deployment options for cloud or on-premises infrastructure.

Independently observed

MLflow

Leader

A comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls.

Independently observed

Pricing

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

CrewAI

HybridFree tier

Free tier with 50 monthly executions; Enterprise plan with custom pricing

BasicFree
- Visual editor and AI copilot
- GitHub integration
- Standard tools and triggers
- CrewAI cloud deployment
- Usage dashboard
- +1 more
EnterpriseContact sales
- Everything in Free, plus:
- SSO (MS Entra, Okta)
- Role-based access control
- PII redaction and policy enforcement
- Workload identity
- +18 more

as of 2026-10-13verify ↗

MLflow

Leader

Open source

as of 2026-10-05verify ↗

Platform & deployment

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

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

Platforms

Web

CrewAI✓

MLflow✓

CLI

CrewAI✓

MLflow✓

Deployment

Cloud / SaaS

CrewAI✓

MLflow✓

Self-hosted

CrewAI✓

MLflow✓

On-premise

CrewAI✓

MLflow✓

Integrations

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

In common (7)

OpenTelemetry
LiteLLM
Anthropic
Ollama
OpenAI
Gemini
Google Gemini

CrewAI

28 total - 21 not shared

NVIDIA NIM
GitHub
Slack
Microsoft Teams
Arize
Galileo
DataDog
Patronus
IBM Db2
E2B
Daytona
AWS Bedrock
Model Context Protocol
SerperDev
Claude
DashScope
CopilotKit
OpenRouter
Oracle
MS Entra
Okta

Independently observed

MLflow

Leader

32 total - 25 not shared

Databricks
AWS S3
Google Cloud Storage
Azure Storage
AzureML
Kubernetes
LangChain
Pydantic AI
Anthropic Claude
SAP AI Core
JFrog
Aliyun
PostgreSQL
MySQL
MSSQL
Claude Code
OpenAI Codex
OpenClaw
Qwen Code
Amazon S3
OpenTelemetry/OTLP
OpenAI-compatible endpoints
Azure ML
AWS SageMaker
+1 more

Independently observed

Still deciding?

CrewAI or MLflow: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

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