Comparison

CrewAI vs Ray

On the evidence we track, Ray leads this comparison with a composite score of 67/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

CrewAI full profile →Ray full profile →

Machine formatsJSON Markdown GraphQLor send Accept: application/json

CrewAI62

★Ray67

Attribute comparison across 2 tools
Attribute	CrewAI	RayLeader
Vioscale score	62 / 100high · 76%updating	67 / 100medium · 68%updating
Pricing
Free tierpricing.free_tier	✓	✓
Modelpricing.model	commercial	commercial
Price levelpricing.price_level	low	free
Transparentpricing.transparent	✗	-
Integrations
Countintegrations.count	15	17
Security
Disclosure policysecurity.disclosure_policy	✓	-
Fedrampsecurity.fedramp	✓	-
Hipaasecurity.hipaa	✓	-
Scorecardsecurity.scorecard	-	5.7
Soc2security.soc2	✓	-
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: 12 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ray&per_page=100 · Last 12m: 6 · Max severity: CRITICAL
Reliability
Status pagereliability.status_page	✓	✓
Adoption
Dependent reposadoption.dependent_repos	0	3,641
Github starsadoption.github_stars	57,642	43,612
Package downloads weeklyadoption.package_downloads_weekly	4,500,329	11,291,327
Activity
Commits last 30dactivity.commits_last_30d	100	100
Release
Cadence daysrelease.cadence_days	1	18
Historyrelease.history	20 items	20 items
License
Spdxlicense.spdx	MIT	Apache-2.0
Language
Primarylanguage.primary	Python	Python
Market
Availabilitymarket.availability	Available worldwide	-

Score

Vioscale score

CrewAI62 / 100high · 76%updating

Ray67 / 100medium · 68%updating

Pricing

Free tier

CrewAI✓

Ray✓

Model

CrewAIcommercial

Raycommercial

Price level

CrewAIlow

Rayfree

Transparent

CrewAI✗

Ray–

Integrations

Count

CrewAI15

Ray17

Security

Disclosure policy

CrewAI✓

Ray–

Fedramp

CrewAI✓

Ray–

Hipaa

CrewAI✓

Ray–

Scorecard

CrewAI–

Ray5.7

Soc2

CrewAI✓

Ray–

Vulnerabilities

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

RayCount: 12 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ray&per_page=100 · Last 12m: 6 · Max severity: CRITICAL

Reliability

Status page

CrewAI✓

Ray✓

Adoption

Dependent repos

CrewAI0

Ray3,641

Github stars

CrewAI57,642

Ray43,612

Package downloads weekly

CrewAI4,500,329

Ray11,291,327

Activity

Commits last 30d

CrewAI100

Ray100

Release

Cadence days

CrewAI1

Ray18

History

CrewAI20 items

Ray20 items

License

Spdx

CrewAIMIT

RayApache-2.0

Language

Primary

CrewAIPython

RayPython

Market

Availability

CrewAIAvailable worldwide

Ray–

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	Ray
Core
Tool role	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

Ray-

Deployment

Self-hostable / OSS core

CrewAI✓

Ray✓

Managed cloud available

CrewAI✓

Ray✓

On-prem / VPC deployment

CrewAI✓

Ray✓

Observability

LLM tracing / observability

CrewAI✓

Ray-

Evaluation (offline / LLM-judge / human)

CrewAI✓

Ray-

Dev

Prompt management + versioning

CrewAI✓

Ray-

Tracking

Experiment tracking / model registry

CrewAI✓

Ray✓

Serving

Model serving / inference endpoint

CrewAI✓

Ray✓

Interop

OpenTelemetry / OpenLLMetry compatible

CrewAI✓

Ray-

Framework-agnostic

CrewAI✗

Ray✓

Gateway

Multi-provider model support

CrewAI✓

Ray✓

Data

No-train-on-customer-data guarantee

CrewAIUnknown

Ray-

What each one is

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

CrewAI

A comprehensive platform combining an open-source Python framework for multi-agent workflows with a managed cloud control plane that adds governance, security, tracing, and deployment capabilities for enterprise production use.

Independently observed

Ray

Leader

Ray is an open-source unified framework for scaling Python and machine learning applications across any infrastructure. It provides distributed compute primitives, specialized AI libraries for data processing, model training, tuning, and serving, with seamless scaling from development environments to large clusters.

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 (Basic) with 50 executions/month; Enterprise custom pricing with governance and compliance

BasicFree
- Visual editor and AI copilot
- GitHub integration
- 50 workflow executions/month
- Studio (visual editor)
- Standard tools and triggers
- +20 more
EnterpriseContact sales
- All Basic features, plus:
- Enterprise connectors
- SSO (MS Entra, Okta)
- Role-based access control (RBAC)
- Workload identity
- +13 more

as of 2026-08-14verify ↗

Ray

Leader

FreeFree 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	CrewAI	Ray
WebPlatforms	✓	✗
CLIPlatforms	✓	✓
Cloud / SaaSDeployment	✓	✓
Self-hostedDeployment	✓	✓
On-premiseDeployment	✓	✓
HybridDeployment	✓	✓

Platforms

Web

CrewAI✓

Ray✗

CLI

CrewAI✓

Ray✓

Deployment

Cloud / SaaS

CrewAI✓

Ray✓

Self-hosted

CrewAI✓

Ray✓

On-premise

CrewAI✓

Ray✓

Hybrid

CrewAI✓

Ray✓

Integrations

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

CrewAI

19 total

NVIDIA NIM
GitHub
Slack
Microsoft Teams
Arize
Galileo
DataDog
Patronus
IBM Db2
OpenTelemetry
LiteLLM
Anthropic
E2B
Daytona
AWS Bedrock
Ollama
OpenAI
Model Context Protocol
SerperDev

Independently observed

Ray

Leader

19 total

PyTorch
TensorFlow
AIBrix
AReaL
Cosmos Curate
Daft
Data-Juicer
DeltaCAT
Modin
NeMo Curator
NeMo-RL
OpenRLHF
RayDP
ROLL
SkyRL
SLIME
Syftr
verl
vLLM

Independently observed

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