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Redash vs Shaper

Learn how Redash 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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Redash

Redash is an open-source data visualization and analytics platform that helps teams make sense of their data through SQL queries and interactive dashboards.
28,850stars+37(+0.1%)

Last 30 days

Screenshot of Redash

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

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

Redash wins
Community & Popularity

Redash significantly outpaces Shaper in community adoption with 28,850 stars compared to 1,265 stars on GitHub. This 22.8x difference suggests Redash has a much larger and more active community. In terms of developer contributions, Redash has 4,637 forks, indicating strong developer engagement.

Shaper wins
Growth Momentum

Shaper is growing faster, adding 14 stars in the last 30 days (+1.1%) against adding 37 stars for Redash (+0.1%). 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 Redash last updated 1 day ago and Shaper 10 hours ago.

Redash wins
Project Maturity

Redash has been in development longer, starting 13 years ago, compared to Shaper which began 2 years ago. This 11.7-year head start suggests Redash may have more mature features and established processes.

Redash wins
Licensing

Redash uses the BSD-2-Clause 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.