3 Repos
Capabilities for organizing text and data into multiple columns within a user interface.
Distinct from Columnar Data Processors: Existing candidates focus on database memory formats or web content directories.
Explore 3 awesome GitHub repositories matching user interface & experience · Columnar Layouts. Refine with filters or upvote what's useful.
Rich is a Python terminal formatting library and user interface framework. It provides tools for rendering rich text, colors, and complex layouts within a terminal environment, including specialized formatters for markdown and source code syntax highlighting. The library distinguishes itself through high-level UI components such as tables with unicode borders, hierarchical tree views for nested data structures, and a system for building structured terminal user interfaces. It also includes a debugging visualizer for pretty-printing complex data and formatting error tracebacks. The capability
Organizes text into columns of equal or optimal width for directory listings and structured data.
ChatALL is a multi-model chat client and productivity tool designed to evaluate the quality of answers from different large language models. It provides a unified interface for interacting with various AI chatbots across different service providers from a single window, allowing users to send a single prompt to multiple models simultaneously. The application enables side-by-side response comparison through a dynamic columnar layout and concurrent querying. It functions as a local chat history manager, using a privacy-focused storage system to keep prompt records and conversation history saved
Renders chat interfaces in flexible grid columns that adjust dynamically based on the number of active AI models.
PyMuPDF is a comprehensive PDF manipulation library and document analysis tool. It serves as a text extraction tool, OCR engine, and image converter, providing a programmatic interface to edit, merge, split, and optimize PDF and Office documents. The project distinguishes itself through high-performance capabilities, including the use of C-bindings for low-level manipulation and parallelized page processing to accelerate workloads. It provides specialized conversion paths, such as transforming PDF content into Markdown for retrieval-augmented generation and large language model pipelines. It
Supports organizing document content into multi-column layouts by defining target rectangles for text placement.