Spark.js

Spark.js was developed as a JavaScript library to address the growing need for real-time data processing and visualization in web applications. It aimed to simplify handling streaming data and rendering dynamic visualizations, enhancing user interaction with live updates. Specific details about its founders or the exact year of creation are not clearly documented.

Strengths of Spark.js included its ability to efficiently process real-time data and provide dynamic visualizations, enhancing user interactivity in web applications. Weaknesses involved potential performance issues with very large datasets and limited community support compared to more established libraries. Competitors included D3.js for data visualization and Node.js for server-side processing of real-time data streams.

A Spark.js expert must possess strong proficiency in JavaScript, particularly with asynchronous programming and event-driven architectures. They should have experience in data visualization techniques and libraries, an understanding of real-time data processing, and familiarity with web development frameworks. Knowledge of handling streaming data sources and optimizing performance for dynamic applications is also essential.