Lightdash leads in popularity with 5,995 stars vs 2,975 stars for Deepnote. The 102% higher star count indicates stronger community adoption. In terms of developer contributions, Lightdash has 750 forks, indicating moderate developer engagement.

Both projects show recent activity, with Deepnote last updated 6 hours ago and Lightdash 4 hours ago.

Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: Deepnote uses Python while Lightdash leverages CSS, Bash, JSX, Next.js.

Lightdash has been in development longer, starting 5 years ago, compared to Deepnote which began 10 months ago. This 4.6-year head start suggests Lightdash may have more mature features and established processes.

Lightdash uses the MIT license, which is more permissive than Deepnote's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.

Both tools serve similar use cases in BI Platforms. However, they also have distinct specializations: Deepnote also focuses on Data Platforms for AI while Lightdash extends into Data Visualization, Semantic Layer Platforms.

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