Learn how Evidence 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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Last 30 days
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License
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Evidence appears to have several advantages over Frappe Insights, particularly in popularity, maturity, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Evidence significantly outpaces Frappe Insights in community adoption with 6,896 stars compared to 1,008 stars on GitHub. This 6.8x difference suggests Evidence has a much larger and more active community. In terms of developer contributions, Frappe Insights has 497 forks, indicating moderate developer engagement.
Frappe Insights is growing faster, adding 33 stars in the last 30 days (+3.4%) against adding 96 stars for Evidence (+1.4%). Frappe Insights is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Evidence last updated 4 days ago and Frappe Insights 2 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript. However, they differ in their additional technology choices: Evidence uses SvelteKit while Frappe Insights leverages Bash, JSX, Python, Vue.
Evidence has been in development longer, starting 5 years ago, compared to Frappe Insights which began 4 years ago. This 1.1-year head start suggests Evidence may have more mature features and established processes.
Evidence uses the MIT license, which is more permissive than Frappe Insights's AGPL-3.0 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: Evidence also focuses on Data Visualization.
Evidence provides self-hosting options for complete data control and customization, while Frappe Insights may be primarily cloud-based or require different deployment approaches.