Learn how Apache Superset and Redash 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.
Last 30 days
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Last 30 days
Last commit
Repository age
Version
License
Repository

Both Apache Superset and Redash 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.
Apache Superset leads in popularity with 74,541 stars vs 28,767 stars for Redash. The 159% higher star count indicates stronger community adoption. In terms of developer contributions, Apache Superset has 18,203 forks, indicating strong developer engagement.
Apache Superset is growing faster, adding 459 stars in the last 30 days (+0.6%) against adding 46 stars for Redash (+0.2%). Apache Superset is both larger and pulling further ahead.
Both projects show recent activity, with Apache Superset last updated 5 hours ago and Redash 1 day ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX, Python. However, they differ in their additional technology choices: Apache Superset uses Bash.
Redash has been in development longer, starting 13 years ago, compared to Apache Superset which began 11 years ago. This 1.8-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 Apache Superset's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Data Visualization, BI Platforms.
Apache Superset provides self-hosting options for complete data control and customization, while Redash may be primarily cloud-based or require different deployment approaches.
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