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Lightdash vs Shaper

Learn how Lightdash and Shaper differ in their key features, development activity, technology stack and community adoption, so you can decide which of these data visualization tools is best for you.

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Lightdash

Self-serve analytics platform that transforms dbt models into interactive dashboards, enabling data-driven decisions across organizations.
6,198stars+36(+0.6%)

Last 30 days

Screenshot of Lightdash

Shaper

Build interactive analytics dashboards with SQL and embed them directly into your product. Open-source platform with full data control and DuckDB flexibility.
1,265stars+14(+1.1%)

Last 30 days

Screenshot of Shaper

Detailed Comparison

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

Lightdash wins
Community & Popularity

Lightdash significantly outpaces Shaper in community adoption with 6,198 stars compared to 1,265 stars on GitHub. This 4.9x difference suggests Lightdash has a much larger and more active community. In terms of developer contributions, Lightdash has 793 forks, indicating moderate developer engagement.

Shaper wins
Growth Momentum

Shaper is growing faster, adding 14 stars in the last 30 days (+1.1%) against adding 36 stars for Lightdash (+0.6%). Shaper 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 Lightdash last updated 6 hours ago and Shaper 10 hours ago.

Lightdash wins
Project Maturity

Lightdash has been in development longer, starting 6 years ago, compared to Shaper which began 2 years ago. This 4.2-year head start suggests Lightdash may have more mature features and established processes.

Lightdash wins
Licensing

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

Comparable
Use Cases & Features

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

Lightdash wins
Hosting & Deployment

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