What is the main difference between Apache Superset and Shaper?

Apache Superset and Shaper are both data visualization tools but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: Apache Superset or Shaper?

The choice between Apache Superset and Shaper depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from Apache Superset to Shaper?

Migration between Apache Superset and Shaper is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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Apache Superset vs Shaper

Learn how Apache Superset 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.

Apache Superset

Connect any SQL database, build charts with drag-and-drop or raw SQL, and publish interactive dashboards without writing application code.

Visit Apache Superset Read more

75,311stars+376(+0.5%)

Last 30 days

Last commit
6 hours ago
Repository age
11 years
Version
6.1.0
License
Apache-2.0
Self-hosted
Yes
Repository
apache/superset

Shaper

Build interactive analytics dashboards with SQL and embed them directly into your product. Open-source platform with full data control and DuckDB flexibility.

Visit Shaper Read more

1,265stars+14(+1.1%)

Last 30 days

Last commit
10 hours ago
Repository age
2 years
Version
v0.26.1
License
MPL-2.0
Repository
taleshape-com/shaper

Detailed Comparison

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

Apache Superset wins

Community & Popularity

Apache Superset significantly outpaces Shaper in community adoption with 75,311 stars compared to 1,265 stars on GitHub. This 59.5x difference suggests Apache Superset has a much larger and more active community. In terms of developer contributions, Apache Superset has 18,526 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 376 stars for Apache Superset (+0.5%). 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 Apache Superset last updated 6 hours ago and Shaper 10 hours ago.

Apache Superset wins

Project Maturity

Apache Superset has been in development longer, starting 11 years ago, compared to Shaper which began 2 years ago. This 9.9-year head start suggests Apache Superset may have more mature features and established processes.

Comparable

Licensing

The projects use different licenses: Apache Superset is licensed under Apache-2.0 while Shaper uses MPL-2.0. Consider the licensing requirements when choosing for your project.

Comparable

Use Cases & Features

Both tools serve similar use cases in Data Visualization, BI Platforms.

Apache Superset wins

Hosting & Deployment

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