SDA is an easy-to-use and high-performance JavaScript library for data analysis.
Version
3.0.0
Date
June 7, 2024
Description of breaking changes
SDA is now easier to use and can process both tabular and geospatial data. It operates seamlessly in the browser and with NodeJS/Bun. It's fast and efficient. We've even tackled the 1 Billion Row Challenge with it!
I am a computational journalist and senior data producer for CBC News.
SDA is born out of the frustration of switching between Python, R, and JavaScript to produce data journalism projects. Usually, data crunching and analysis are done with Python or R, and interactive data visualizations are coded in JavaScript. However, being proficient in multiple programming languages is hard. Why can't we do everything in JS?
The missing piece in the JavaScript/TypeScript ecosystem was an easy-to-use and performant library for data analysis. This is why SDA was created!
Open Source Project name
simple-data-analysis
What is your project?
SDA is an easy-to-use and high-performance JavaScript library for data analysis.
Version
3.0.0
Date
June 7, 2024
Description of breaking changes
SDA is now easier to use and can process both tabular and geospatial data. It operates seamlessly in the browser and with NodeJS/Bun. It's fast and efficient. We've even tackled the 1 Billion Row Challenge with it!
GitHub Repo
https://github.com/nshiab/simple-data-analysis
Website
https://github.com/nshiab/simple-data-analysis
Link to changelog
https://github.com/nshiab/simple-data-analysis/releases/tag/v3.0.0
Social media
https://x.com/NaelShiab/status/1799098028600742311
Anything else to add?
I am a computational journalist and senior data producer for CBC News.
SDA is born out of the frustration of switching between Python, R, and JavaScript to produce data journalism projects. Usually, data crunching and analysis are done with Python or R, and interactive data visualizations are coded in JavaScript. However, being proficient in multiple programming languages is hard. Why can't we do everything in JS?
The missing piece in the JavaScript/TypeScript ecosystem was an easy-to-use and performant library for data analysis. This is why SDA was created!
Thank you for your consideration! :)