Flatten complex JSON objects and convert to csv, tab delimited, or html
Tabular-JSON: a superset of JSON with CSV-like tables
Table format APIs for JSON, CSV, etc...
Schema-related utilities for loaders.gl...
Tabular data chunked into scrollable panes
Table format APIs for JSON, CSV, etc...
Provides nested objects from tabular data.
Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware encoding of JSON for LLM prompts
Create beautiful ASCII tables and grids with customizable borders, padding, and alignment. Supports Unicode, colors, and ANSI escape codes.
Tabular grid for react-native
The most productive way to visualize and explore tabular JSON data
Tables are used to display tabular data using rows and columns.
In memory tabular data storage
A parser and formatter for delimiter-separated values, such as CSV and TSV
Skeleton for table
Provides nested objects from tabular data.
Enums for tabular types
A reactive data store and sync engine.
React components for efficiently rendering large, scrollable lists and tabular data
Feature-rich JavaScript datagrid (datatable) control with built-in support for editing, filtering, grouping, paging, sorting, and exporting to Excel.
Patient programs microfrontend for the OpenMRS SPA
Patient conditions microfrontend for the OpenMRS SPA
Patient allergies microfrontend for the OpenMRS SPA
Patient notes microfrontend for the OpenMRS SPA
RDF::Tabular processes tabular data with metadata creating RDF or JSON output.
RDF::CSV processes tabular data with metadata creating RDF or JSON output.
csvjson - read tabular data in the CSV <3 JSON format, that is, comma-separated values CSV (line-by-line) records with javascript object notation (JSON) encoding rules
fbtxt2json (& fbtxt2csv) - convert football.txt match schedules & more to (structured) json or (tabular) csv
A Ruby gem for converting between JSON and TOON format. TOON is a compact serialization format designed for LLMs that reduces token usage by 30-60% compared to JSON. Supports bidirectional conversion, tabular arrays, nested structures, and lossless roundtrips.
Transforms JSON into the custom, human-readable Toon Format. Features deep nesting support and optimized tabular array display.
Nice diff generates the tabular readable diff of two JSON or XML files. A file object reference to corresponding JSON or XML files needs to be passed along with the format type being expressed.
Migrate data from a legacy application to a new application, write scripts to import data from third-party applications, or convert data into the format your application expects--all in a flexible, declaritive syntax. Works with tabular data, such as CSV or database tables, with support for structured formats such as JSON as well.
NTable provides a convenient data structure for storing n-dimensional tabular data. It works with zero-dimensional scalar values, arrays, tables, and any arbitrary-dimensional hypertables. Each dimension is described by an axis object. The "rows" in that dimension might be identified by numbers or names. You can perform slice operations across any dimension, as well as reductions and dimensional decomposition. Finally, serialization is provided via a custom JSON schema, as well as a simple "hash of hashes" or "array of arrays" approach.
Flexible and human-friendly Cartesian product enumerator for Ruby. Supports functions and conditions on cartesian, dimensionality-agnostic/dimensionality-aware iterators, named dimensions, tabular output, lazy/eager evaluation, progress bar, import from JSON/YAML, and export to Markdown/CSV. Code example: https://github.com/Yuri-Rassokhin/flex-cartesian/blob/main/README.md#example
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