Learn how Deepnote and Redash 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
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Last 30 days
Last commit
Repository age
Version
License
Repository

Redash appears to have several advantages over Deepnote, particularly in popularity, maturity and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Redash significantly outpaces Deepnote in community adoption with 28,757 stars compared to 2,999 stars on GitHub. This 9.6x difference suggests Redash has a much larger and more active community. In terms of developer contributions, Redash has 4,616 forks, indicating strong developer engagement.
Deepnote is growing faster, adding 42 stars in the last 30 days (+1.4%) against adding 47 stars for Redash (+0.2%). Deepnote 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 7 hours ago and Redash 1 day ago.
Both tools share common technology foundations, being built with JavaScript, Typescript, Python. However, they differ in their additional technology choices: Redash leverages CSS, JSX.
Redash has been in development longer, starting 13 years ago, compared to Deepnote which began 11 months ago. This 12.1-year head start suggests Redash may have more mature features and established processes.
Redash uses the BSD-2-Clause license, which is more permissive than Deepnote's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in BI Platforms. However, they also have distinct specializations: Deepnote also focuses on Data Platforms for AI while Redash extends into Data Visualization.