2 रिपॉजिटरी
Performing data processing and analytical operations directly within the web browser without server-side execution.
Distinct from Browser-Based Analysis: Candidates focus on security analysis, geospatial analysis, or market analysis, rather than general-purpose pivot analysis in the browser.
Explore 2 awesome GitHub repositories matching data & databases · Client-Side Data Analysis. Refine with filters or upvote what's useful.
This project is a JavaScript pivot table library and client-side data processor. It provides an interactive interface for transforming raw datasets into summarized tables, heatmaps, and charts, allowing for browser-based data analysis without a backend server. The library distinguishes itself through a drag-and-drop interface for dynamic data exploration and the ability to derive new attributes via date binning or custom logic. It supports flexible data rendering by converting analyzed results into HTML tables or graphical representations using integrated or third-party charting libraries. T
Enables loading CSV or JSON files directly in the browser to perform pivot analysis without a backend server.
sql.js-httpvfs is a virtual file system and loader designed to execute SQL queries against read-only SQLite databases hosted on remote static file servers. It enables the retrieval of database files over HTTP without requiring the entire file to be downloaded to the client. The project distinguishes itself by using byte-range HTTP fetching to simulate local random-access reads. It includes a chunking tool that splits large databases into smaller pieces via a JSON configuration, which helps bypass file size limits and optimizes caching. The system covers a range of capabilities including remo
Enables loading large datasets into a browser for querying and analysis without downloading the entire database.