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.
Last 30 days
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Last 30 days
Last commit
Repository age
Version
License
Repository

Both Laminar and LangWatch have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Laminar having 3,251 stars and LangWatch having 4,765 stars on GitHub. In terms of developer contributions, LangWatch has 384 forks, indicating moderate developer engagement.
LangWatch is growing faster, adding 1,275 stars in the last 30 days (+37%) against adding 85 stars for Laminar (+2.7%). LangWatch is both larger and pulling further ahead.
Both projects show recent activity, with Laminar last updated 9 hours ago and LangWatch 9 hours ago.
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, SCSS, Golang, Ruby.
Both projects started around the same time, with Laminar beginning 2 years ago and LangWatch 3 years ago.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in LLM Observability & Evaluation.
Laminar provides self-hosting options for complete data control and customization, while LangWatch may be primarily cloud-based or require different deployment approaches.