Learn how DataLens and Evidence 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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Evidence appears to have several advantages over DataLens, particularly in popularity, maturity and licensing. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Evidence significantly outpaces DataLens in community adoption with 6,249 stars compared to 1,674 stars on GitHub. This 3.7x difference suggests Evidence has a much larger and more active community. In terms of developer contributions, Evidence has 343 forks, indicating moderate developer engagement.
DataLens shows more recent development activity with its last commit 6 hours ago, while Evidence was last updated 2 months ago. This suggests DataLens is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript. However, they differ in their additional technology choices: DataLens uses Bash, Python while Evidence leverages CSS, Typescript, SvelteKit.
Evidence has been in development longer, starting 5 years ago, compared to DataLens which began 3 years ago. This 2.4-year head start suggests Evidence may have more mature features and established processes.
Evidence uses the MIT license, which is more permissive than DataLens's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in BI Platforms, Data Visualization.
Both DataLens and Evidence offer self-hosting capabilities, giving you full control over your data and infrastructure.
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