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
2 days agoRepository age
1 yearVersion
0.1.0License
Apache-2.0Repository
deepnote/deepnote
Last 30 days
Last commit
19 hours agoRepository age
2 yearsVersion
v0.27.2License
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, technology, maturity, licensing and features when making your decision.
Deepnote leads in popularity with 3,033 stars vs 1,278 stars for Shaper. The 137% higher star count indicates stronger community adoption. In terms of developer contributions, Deepnote has 204 forks, indicating moderate developer engagement.
Shaper is growing faster, adding 19 stars in the last 30 days (+1.5%) against adding 13 stars for Deepnote (+0.4%). 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 2 days ago and Shaper 19 hours ago.
Deepnote uses JavaScript, Typescript, Python while Shaper leverages Golang.
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.