kag is an open-source CLI tool that helps data scientists and Kaggle competitors quickly bootstrap competition projects, manage data downloads, and organize workflows using a textual user interface. It simplifies the process of starting and managing Kaggle challenges from the terminal.
kag is a CLI tools & terminal product. It focuses on streamlining the setup and management of Kaggle competition projects from the command line. It is built as an open-source project for data scientists and Kaggle competitors. kag is open source under the MIT license. kag is available on the command line, and it can be self-hosted.
Behind kag is Andrew Girgis, and the product first shipped in 2026. Development happens publicly on GitHub with 29 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — kag occupies a relatively distinct niche. Key capabilities include kaggle integration, competition bootstrap, and TUI interface.
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