TableGenerator

TableGenerator is a software tool designed to programmatically generate well-formatted tables from structured data for use in documents, web pages, reports, and data exports. It is implemented as a library, a command-line utility, or a service, and supports multiple input formats such as CSV, JSON, SQL query results, and in-memory data structures. Output formats commonly include HTML, LaTeX, Markdown, CSV, Excel, and PDF.

Core features typically include data binding to columns, configurable column order, and styling options for borders, padding, alignment, and typography. Many implementations offer templates or themes, conditional formatting, localization, and support for merged cells or multi-line headers. They may also provide sorting, filtering, aggregation, and pagination for large tables.

Under the hood, a TableGenerator generally comprises data adapters, a layout engine, and renderers for each target format. Users define a table by supplying data, selecting columns, and applying styles or templates, with the library producing the final output for inclusion in documents or web pages.

Common use cases include automated report generation, API or documentation pages, product catalogs, dashboards, and data exports to Excel or CSV. It helps ensure consistency across reports and reduces manual formatting.

The ecosystem varies by language and platform, with open-source and commercial options available for Python, JavaScript, Java, Ruby, and other languages. Integrations with templating engines and data pipelines are typical features.

See also: table formatting, report generation, data presentation.