What We've Made.
Atlas Data Representor
Atlas Data Representor is a cross-platform data visualization application built to transform raw datasets into rich, interactive visualizations using a custom-designed scripting language: ADRS (Atlas Data Representation Script). ADRS empowers users to define complex graph structures, visual behaviors, and animations through readable and modular code, combining the control of programming with the intuitiveness of graphical tools. Unlike traditional drag-and-drop charting applications, Atlas Data Representor is built for users who demand automation, repeatability, and scriptable control. Its primary users include data scientists, educators, and engineers who frequently analyze datasets and need high-quality, reproducible visual reports. The application supports multiple chart types.
Atlas Install
AtlasInstall is a modern package manager developed for the Windows operating system, specifically targeting Windows 24H2 and later builds. The tool is inspired by the elegance of Linux package managers like APT and Homebrew, aiming to bring a similar level of flexibility, command-line control, and ecosystem integration to the Windows environment. With AtlasInstall, users can easily install, update, and remove software through a simplified syntax that abstracts away complexity. It includes dependency resolution, support for community repositories, version locking, and environment management. The package manager is optimized for both speed and reliability, with intelligent caching and error recovery mechanisms.
Atlas Search
Atlas Search is a next-generation search engine focused on privacy, precision, and performance. In contrast to mainstream search engines that prioritize advertising and data harvesting, Atlas Search is being built with a strong emphasis on user-first principles. It aims to provide fast, relevant, and unbiased search results without tracking users or collecting excessive data. The project explores experimental features such as decentralized indexing, smart result summarization using local processing, and UI customizability for minimal distractions. Its core mission is to serve developers, students, and independent researchers who need access to clean information without algorithmic clutter.
