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Laminar vs LangWatch

Learn how Laminar and LangWatch differ in their key features, development activity, technology stack and community adoption, so you can decide which of these llm observability & evaluation is best for you.

vs

Laminar

AI
Laminar is an open-source platform that helps collect, understand, and utilize data for building high-quality LLM applications.
3,438stars+161(+4.9%)

Last 30 days

Screenshot of Laminar

LangWatch

AI
Tests AI agents through multi-turn simulations, LLM-based scoring, and production tracing so teams can ship reliable agents with confidence.
4,991stars+119(+2.4%)

Last 30 days

Screenshot of LangWatch

Detailed Comparison

Laminar appears to have several advantages over LangWatch, particularly in growth and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

Comparable
Community & Popularity

Both tools have similar popularity levels, with Laminar having 3,438 stars and LangWatch having 4,991 stars on GitHub. In terms of developer contributions, LangWatch has 417 forks, indicating moderate developer engagement.

Laminar wins
Growth Momentum

Laminar is growing faster, adding 161 stars in the last 30 days (+4.9%) against adding 119 stars for LangWatch (+2.4%). Laminar is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable
Development Activity

Both projects show recent activity, with Laminar last updated 3 hours ago and LangWatch 2 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX, Python. However, they differ in their additional technology choices: Laminar uses Next.js, Rust while LangWatch leverages Bash, Golang, SCSS, Ruby.

Comparable
Project Maturity

Both projects started around the same time, with Laminar beginning 2 years ago and LangWatch 3 years ago.

Comparable
Licensing

Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Both tools serve similar use cases in LLM Observability & Evaluation.

Laminar wins
Hosting & Deployment

Laminar provides self-hosting options for complete data control and customization, while LangWatch may be primarily cloud-based or require different deployment approaches.