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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Repository age
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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 28,783 stars compared to 3,004 stars on GitHub. This 9.6x difference suggests Redash has a much larger and more active community. In terms of developer contributions, Redash has 4,627 forks, indicating strong developer engagement.
Deepnote and Redash are moving at much the same rate, adding 8 stars and adding 46 stars respectively over the last 30 days (+0.3% vs +0.2%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Deepnote last updated 13 hours ago and Redash 6 days 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.