Comparison

LangChain vs Ray

On the evidence we track, LangChain leads this comparison with a composite score of 81/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
LangChain81
Ray67
Score
Vioscale score
LangChain81 / 100medium · 70%
Ray67 / 100medium · 68%
Pricing
Free tier
LangChain
Ray
Model
LangChainfreemium
Price level
LangChainmid
Rayfree
Starting price
LangChain$39
Ray
Transparent
LangChain
Ray
Integrations
Count
LangChain1,000
Ray17
Reliability
Sla pct
LangChain99.5
Ray
Status page
LangChain
Ray
Adoption
Dependent repos
LangChain18,663
Github stars
LangChain145,063
Package downloads weekly
Activity
Commits last 30d
LangChain100
Ray100
Release
Cadence days
LangChain
Ray18
History
LangChain20 items
License
Spdx
LangChainMIT
Language
Primary
LangChainPython
Market
Availability

Capabilities

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

Core
Tool role
LangChainLLM observability / eval
Ray-
Deployment
Self-hostable / OSS core
LangChain
Ray
Managed cloud available
LangChain
Ray
On-prem / VPC deployment
LangChain
Ray
Observability
LLM tracing / observability
LangChain
Ray-
Evaluation (offline / LLM-judge / human)
LangChain
Ray-
Dev
Prompt management + versioning
LangChain
Ray-
Tracking
Experiment tracking / model registry
LangChain-
Ray
Serving
Model serving / inference endpoint
LangChain
Ray
Interop
OpenTelemetry / OpenLLMetry compatible
LangChain
Ray-
Framework-agnostic
LangChain
Ray
Gateway
Multi-provider model support
LangChain
Ray
Data
No-train-on-customer-data guarantee
LangChainUnknown
Ray-

What each one is

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

LangChain

Leader

LangSmith provides observability through tracing to debug agent behavior, evaluation capabilities to test and score agents with human review and automated assessments, and deployment services to run agents at scale.

Independently observed

Ray

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.

LangChain

Leader
from $39/seat/moSubscriptionFree tier

Free Developer plan (5k traces). Plus plan $39/seat/month. Enterprise custom. Usage-based pricing for compute (LCU=$1.50) and storage (LSU=$1.00).

  • DeveloperFree
    • 1 free seat
    • 5k base traces/month
    • Tracing and analytics
    • Access to LangSmith platform
  • Plus$39/seat/month + usage (LCU/LSU), 10k traces included, 1 free small deployment
    • Unlimited seats
    • 10k base traces/month
    • 1 free small serverless deployment
    • Full tracing and analytics
    • Evaluation tools
  • EnterpriseContact sales
    • Advanced administration
    • Dedicated support
    • Custom deployments
    • White-glove onboarding
    • Proactive monitoring
    • +1 more
as of verify ↗

Ray

FreeFree tier
as of verify ↗

Platform & deployment

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

Platforms
Web
LangChain
Ray
CLI
LangChain
Ray
Deployment
Cloud / SaaS
LangChain
Ray
Self-hosted
LangChain
Ray
On-premise
LangChain
Ray
Hybrid
LangChain
Ray

Integrations

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

LangChain

Leader
9 total
  • OpenAI
  • Anthropic
  • Cohere
  • Google
  • Azure OpenAI
  • Azure AI Search
  • Microsoft Fabric
  • Azure Kubernetes Service
  • OpaquePrompts
Independently observed

Ray

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.