Comparison

LangChain vs Weights & Biases

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
Weights & Biases67
Score
Vioscale score
LangChain81 / 100medium · 70%
Weights & Biases67 / 100low · 38%
Pricing
Free tier
LangChain
Weights & Biases
Model
LangChainfreemium
Weights & Biasescommercial
Price level
LangChainmid
Weights & Biases
Starting price
LangChain$39
Weights & Biases
Transparent
LangChain
Weights & Biases
Integrations
Count
LangChain1,000
Weights & Biases8
Security
Disclosure policy
LangChain
Weights & Biases
Gdpr
LangChain
Weights & Biases
Hipaa
LangChain
Weights & Biases
Iso27001
LangChain
Weights & Biases
Scorecard
LangChain5.9
Weights & Biases
Soc2
LangChain
Weights & Biases
Reliability
Sla pct
LangChain99.5
Weights & Biases
Status page
LangChain
Weights & Biases
Adoption
Dependent repos
LangChain18,663
Weights & Biases9,299
Github stars
LangChain145,063
Weights & Biases11,240
Package downloads weekly
LangChain2,967,570
Weights & Biases
Activity
Commits last 30d
LangChain100
Weights & Biases100
Release
Cadence days
LangChain
Weights & Biases16
History
LangChain20 items
Weights & Biases20 items
License
Spdx
LangChainMIT
Weights & BiasesMIT
Language
Primary
LangChainPython
Weights & BiasesPython
Market
Availability
Weights & Biases

Capabilities

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

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

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

Weights & Biases

An integrated platform for developing AI applications, from training and fine-tuning models to deploying agents in production, with comprehensive experiment tracking, model management, and LLM application monitoring.

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 ↗

Weights & Biases

Pricing not documented yet.

Platform & deployment

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

Platforms
Web
LangChain
Weights & Biases
iOS
LangChain
Weights & Biases
CLI
LangChain
Weights & Biases
Deployment
Cloud / SaaS
LangChain
Weights & Biases
Self-hosted
LangChain
Weights & Biases
On-premise
LangChain
Weights & Biases
Hybrid
LangChain
Weights & Biases

Integrations

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

In common (1)
  • OpenAI

LangChain

Leader
9 total - 8 not shared
  • Anthropic
  • Cohere
  • Google
  • Azure OpenAI
  • Azure AI Search
  • Microsoft Fabric
  • Azure Kubernetes Service
  • OpaquePrompts
Independently observed

Weights & Biases

8 total - 7 not shared
  • Alibaba Qwen
  • Meta Llama
  • Microsoft Phi
  • Hangzhou DeepSeek
  • Z.ai GLM
  • MoonshotAI Kimi
  • CoreWeave
Independently observed

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