Comparison

LangSmith vs Weights & Biases

On the evidence we track, Weights & Biases 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.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
LangSmith57
Weights & Biases67
Score
Vioscale score
LangSmith57 / 100low · 12%
Weights & Biases67 / 100low · 38%
Pricing
Model
LangSmith
Weights & Biasescommercial
Integrations
Count
LangSmith
Weights & Biases8
Security
Disclosure policy
LangSmith
Weights & Biases
Gdpr
LangSmith
Weights & Biases
Hipaa
LangSmith
Weights & Biases
Iso27001
LangSmith
Weights & Biases
Soc2
LangSmith
Weights & Biases
Reliability
Status page
LangSmith
Weights & Biases
Adoption
Dependent repos
LangSmith
Weights & Biases9,299
Github stars
LangSmith
Weights & Biases11,240
Activity
Commits last 30d
LangSmith
Weights & Biases100
Release
Cadence days
LangSmith
Weights & Biases16
History
LangSmith
Weights & Biases20 items
License
Spdx
LangSmith
Weights & BiasesMIT
Language
Primary
LangSmith
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
LangSmithLLM observability / eval
Weights & BiasesEnd-to-end ML platform
Deployment
Self-hostable / OSS core
LangSmith
Weights & Biases
Managed cloud available
LangSmith
Weights & Biases
On-prem / VPC deployment
LangSmith
Weights & Biases
Observability
LLM tracing / observability
LangSmith
Weights & Biases
Evaluation (offline / LLM-judge / human)
LangSmith
Weights & Biases
Dev
Prompt management + versioning
LangSmith-
Weights & Biases
Tracking
Experiment tracking / model registry
LangSmith-
Weights & Biases
Serving
Model serving / inference endpoint
LangSmith
Weights & Biases
Interop
OpenTelemetry / OpenLLMetry compatible
LangSmith-
Weights & Biases-
Framework-agnostic
LangSmith
Weights & Biases
Gateway
Multi-provider model support
LangSmith-
Weights & Biases-
Data
No-train-on-customer-data guarantee
LangSmith-
Weights & Biases-

What each one is

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

LangSmith

LangSmith enables users to observe, evaluate, and deploy AI agents through a web interface that requires no coding. The platform provides tools for agent engineering and monitoring.

Independently observed

Weights & Biases

Leader

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

Platform & deployment

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

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

Integrations

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

LangSmith

Not documented yet.

Weights & Biases

Leader
8 total
  • OpenAI
  • 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.