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UsedBy.ai
2026 Comparison

LangSmith vs Langchain

Data-driven comparison based on 23+ enterprise adoption patterns

Higher Adoption
LangSmith

LangSmith

12
Companies
LLM Ops & Frameworks
Category
Langchain

Langchain

by Langchain

11
Companies
LLM Ops & Frameworks
Category
Data Methodology: Adoption data is based on public tech stack disclosures, job postings, case studies, and verified enterprise reports analyzed by UsedBy.ai. Showing 23 verified enterprise adoptions. More data being indexed continuously.

Feature & Adoption Comparison

MetricLangSmithLangchain
Enterprise Adoption
12 companies11 companies
Category
LLM Ops & FrameworksLLM Ops & Frameworks
Pricing Model
Contact SalesFREEMIUM
Free Trial
Website
Visit Visit
UsedBy Exclusive Data

Industry Adoption Patterns

See which industries prefer each tool based on real adoption data

LangSmith

LangSmith by Industry

HR & Recruiting17%
Data & Analytics8%
Cybersecurity8%
Retail8%
Energy, Utilities & Cleantech8%
Langchain

Langchain by Industry

Data & Analytics18%
Logistics & Supply Chain18%
DevTools & Infrastructure9%
Telecommunications9%
Fintech & Payments9%
Real User Feedback

What Users Say

Testimonials from verified enterprise users

LangSmith
LangSmith
Our Copilot saves property managers 10+ hours weekly thanks to LangSmith observability
AppFolio

AppFolio Team

Product Engineering, AppFolio

Langchain
Langchain

No testimonials available yet

LangSmith vs Langchain: Your Questions Answered

LangSmith has higher enterprise adoption with 12 companies using it, compared to 11 for Langchain. This suggests stronger market validation for LangSmith.
While our data doesn't show companies currently using both tools together, they serve similar purposes and could potentially complement each other.
LangSmith is particularly strong in HR & Recruiting (17% of adopters), while Langchain dominates in Data & Analytics (18%). Choose based on your industry's prevailing stack.
For startups, consider: LangSmith offers flexible pricing, while Langchain uses freemium pricing. Both are validated by enterprise use, ensuring scalability as you grow.

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