Learn how Chartbrew and DataLens 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
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Chartbrew appears to have several advantages over DataLens, particularly in popularity, growth, maturity and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Chartbrew leads in popularity with 4,045 stars vs 1,698 stars for DataLens. The 138% higher star count indicates stronger community adoption. In terms of developer contributions, Chartbrew has 457 forks, indicating moderate developer engagement.
Chartbrew is growing faster, adding 78 stars in the last 30 days (+2%) against adding 4 stars for DataLens (+0.2%). Chartbrew is both larger and pulling further ahead.
Both projects show recent activity, with Chartbrew last updated 5 days ago and DataLens 10 hours ago.
Both tools share common technology foundations, being built with JavaScript, Bash. However, they differ in their additional technology choices: Chartbrew uses CSS, JSX while DataLens leverages Python.
Chartbrew has been in development longer, starting 7 years ago, compared to DataLens which began 3 years ago. This 4.1-year head start suggests Chartbrew may have more mature features and established processes.
Chartbrew 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 Data Visualization, BI Platforms. However, they also have distinct specializations: Chartbrew also focuses on Low-Code/No-Code.
Both Chartbrew and DataLens offer self-hosting capabilities, giving you full control over your data and infrastructure.