Learn how Apache Superset and Frappe Insights 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.
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Apache Superset appears to have several advantages over Frappe Insights, particularly in popularity, maturity and features. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Apache Superset significantly outpaces Frappe Insights in community adoption with 72,627 stars compared to 902 stars on GitHub. This 80.5x difference suggests Apache Superset has a much larger and more active community. In terms of developer contributions, Apache Superset has 17,149 forks, indicating strong developer engagement.
Both projects show recent activity, with Apache Superset last updated 12 hours ago and Frappe Insights 1 day ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python. However, they differ in their additional technology choices: Frappe Insights leverages Vue.
Apache Superset has been in development longer, starting 11 years ago, compared to Frappe Insights which began 4 years ago. This 7.0-year head start suggests Apache Superset may have more mature features and established processes.
The projects use different licenses: Apache Superset is licensed under Apache-2.0 while Frappe Insights uses AGPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in BI Platforms. However, they also have distinct specializations: Apache Superset also focuses on Data Visualization.
Apache Superset provides self-hosting options for complete data control and customization, while Frappe Insights may be primarily cloud-based or require different deployment approaches.
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