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.
Last 30 days
Last commit
6 hours agoRepository age
6 yearsVersion
3.53.6License
MITSelf-hosted
YesRepository
lightdash/lightdash
Last 30 days
Last commit
10 hours agoRepository age
2 yearsVersion
v0.26.1License
MPL-2.0Repository
taleshape-com/shaper
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 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 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.
Both projects show recent activity, with Lightdash last updated 6 hours ago and Shaper 10 hours ago.
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 uses the MIT license, which is more permissive than Shaper's MPL-2.0 license, potentially offering greater flexibility for commercial use and integration.
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 provides self-hosting options for complete data control and customization, while Shaper may be primarily cloud-based or require different deployment approaches.
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