React components for efficiently rendering large lists and tabular data

Reactive datatables for large or small datasets

The modern React DataGrid for building apps — faster

Table and Cards views with animated transitions on sorting, switching view, and browser resizing (no dependencies, just vanilla Javascript, CSS, and HTML).

Detects tabular data (spreadsheets, dsv or json, 20+ different formats) and emits normalized objects.

read rows from google spreadsheet with google's sheets api

Python Package to Share/Edit Pandas/Polars DF with web interface!

utility to create tdast trees

Input tabular data with your keyboard

tdast utility to parse csv into tdast (RFC-4180 compliant)

Generate a ASCII Table from a bidimensional array of strings

This project uses very basic flowing patterns to guide virtual particles across your canvas, creating curves and paths. You can save your creation as an SVG file for pen plotters and laser cutters, or grab it as a JSON/CSV file to plot this anywhere. Not at all original

A stream that detects tabular data (spreadsheets, dsv or json) and yields objects.

A curated collection of TDL (Tabular Deep Learning) resources—libraries, projects, tutorials, papers, and more—for researchers and developers in the field.

A fork of the console.table and cli_table NodeJS source code which returns strings, and works in web browsers.

tdast utility to transform tdast to a JS array

tdast utility to serialize tdast to a HTML table

tdast utility to serialize tdast to CSV (RFC-4180 compliant)

tdast utility to serialize tdast to JSON (array)

tdast utility to serialize tdast to a markdown table