Logto – Modern auth infrastructure for developers. Add multi-tenancy, enterprise SSO, and RBAC to your SaaS or AI apps.Learn how Apache Superset and Grafana 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.
Both Apache Superset and Grafana have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Both Apache Superset and Grafana show comparable community engagement with 74,189 and 76,179 stars respectively. In terms of developer contributions, Apache Superset has 18,078 forks, indicating strong developer engagement.
Both projects show recent activity, with Apache Superset last updated 9 hours ago and Grafana 9 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python. However, they differ in their additional technology choices: Grafana leverages Golang, Ruby.
Grafana has been in development longer, starting 13 years ago, compared to Apache Superset which began 11 years ago. This 1.6-year head start suggests Grafana may have more mature features and established processes.
The projects use different licenses: Apache Superset is licensed under Apache-2.0 while Grafana uses AGPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Data Visualization. However, they also have distinct specializations: Apache Superset also focuses on BI Platforms while Grafana extends into Infrastructure Monitoring, Performance Monitoring (APM).
Both Apache Superset and Grafana offer self-hosting capabilities, giving you full control over your data and infrastructure.
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