Longitudinal Depression Trajectories CLI
The Longitudinal Depression Trajectories Toolkit (LDT-Toolkit) initiative is designed for social, medical, and clinical researchers who work with repeated-measure data and need a stepping-stone path from raw cohort files to downstream modelling.
The initiative delivers two interconnected components. First, ldt-toolkit is the Python engine of tools and reproducible pipelines to accelerate exploration of longitudinal studies towards downstream modelling. Second, ldt (this repository) is a fully interactive Go CLI with a no-code terminal interface for running and orchestrating the toolkit from start to finish.
The toolset supports two broad lines of exploration. Playground methods help researchers iterate quickly on datasets across data preparation, data preprocessing, and machine learning phases. Presets provide stage-level reproducible pipelines for specific studies and are built to grow through community contributions.
Caution
This current repository is the CLI component of the project. For the full end-to-end toolkit experience, workflows, and primary documentation, use ldt-toolkit.
brew tap Longitudinal-Depression-Toolkit/homebrew-tap
brew install ldt
scoop bucket add longitudinal-depression-toolkit https://github.com/Longitudinal-Depression-Toolkit/scoop-bucket
scoop install ldt
git clone https://github.com/Longitudinal-Depression-Toolkit/CLI.git
cd CLI
make build
Homebrew and Scoop put ldt on PATH automatically.
If you built from source, run the installer target for your shell:
# bash
make install-bash
# fish
make install-fishNow run from any directory:
ldt
We've made sure the UX of the CLI stays smooth at every moment. Use the command palette wherever you are to instantly launch any tool or preset of your choice, without walking through each menu level by hand.
In practice, launch ldt, open the palette with : or Ctrl+P, type a phrase like build trajectories, and press Enter to run it. While typing, Tab auto-completes, Ctrl+H opens history, Ctrl+L clears input, and Esc closes the palette.
Jump to the main repository for toolkit documentation, workflows, and end-user guidance:
Please do not share participant-level or restricted data in issues or pull requests.
Security policy and contact details:
Special thanks to @charm.land for their amazing TUI framework!