Learn how Apache Superset and Evidence 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
Last commit
3 hours agoRepository age
11 yearsVersion
6.1.0License
Apache-2.0Self-hosted
YesRepository
apache/superset
Last 30 days

Both Apache Superset and Evidence 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 significantly outpaces Evidence in community adoption with 75,370 stars compared to 7,077 stars on GitHub. This 10.6x difference suggests Apache Superset has a much larger and more active community. In terms of developer contributions, Apache Superset has 18,558 forks, indicating strong developer engagement.
Evidence is growing faster, adding 111 stars in the last 30 days (+1.6%) against adding 383 stars for Apache Superset (+0.5%). Evidence is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Apache Superset last updated 3 hours ago and Evidence 5 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript. However, they differ in their additional technology choices: Apache Superset uses Bash, JSX, Python while Evidence leverages SvelteKit.
Apache Superset has been in development longer, starting 11 years ago, compared to Evidence which began 5 years ago. This 5.9-year head start suggests Apache Superset may have more mature features and established processes.
Evidence uses the MIT 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.
Both Apache Superset and Evidence offer self-hosting capabilities, giving you full control over your data and infrastructure.