Learn how Deepnote and Shaper differ in their key features, development activity, technology stack and community adoption, so you can decide which of these bi platforms is best for you.
Last 30 days
Last commit
24 hours agoRepository age
1 yearVersion
0.6.0License
Apache-2.0Repository
deepnote/deepnote
Last 30 days
Last commit
10 hours agoRepository age
2 yearsVersion
v0.26.1License
MPL-2.0Repository
taleshape-com/shaper
Both Deepnote and Shaper have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
Deepnote leads in popularity with 3,026 stars vs 1,265 stars for Shaper. The 139% higher star count indicates stronger community adoption. In terms of developer contributions, Deepnote has 202 forks, indicating moderate developer engagement.
Shaper is growing faster, adding 14 stars in the last 30 days (+1.1%) against adding 17 stars for Deepnote (+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 Deepnote last updated 24 hours ago and Shaper 10 hours ago.
Both projects started around the same time, with Deepnote beginning 1 year ago and Shaper 2 years ago.
The projects use different licenses: Deepnote is licensed under Apache-2.0 while Shaper uses MPL-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in BI Platforms. However, they also have distinct specializations: Deepnote also focuses on Data Platforms for AI while Shaper extends into Data Visualization.