CrewAI vs Ray
On the evidence we track, Ray leads this comparison with a composite score of 71/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.
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.
Ray
LeaderOpen-source framework for building and scaling distributed ML and Python applications, supporting the full pipeline from data processing and model training to inference and serving with simple APIs.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
CrewAI
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
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
CrewAI
- 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
- Claude
- Gemini
- DashScope
- CopilotKit
- Google Gemini
- +4 more
Ray
Leader- PyTorch
- TensorFlow
- AIBrix
- AReaL
- Cosmos Curate
- Daft
- Data-Juicer
- DeltaCAT
- Modin
- NeMo Curator
- NeMo-RL
- OpenRLHF
- RayDP
- ROLL
- SkyRL
- SLIME
- Syftr
- verl
- vLLM
- Kubernetes
- AWS
- GCP
- Azure
- Databricks
- +3 more
CrewAI or Ray: 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.