Search Results for "command prompt alternative"

Scoop is a command-line installer for Windows. If you have built software that you would like others to use, Scoop is an alternative to building an installer (like MSI or InnoSetup). You just need to compress your app to a .zip file and provide a JSON manifest that describes how to install it. Scoop downloads and manages packages in a portable way, keeping them neatly isolated in ~\scoop.

windowsterminal-shell is a repository by Lextm that contains sample and extension configurations and supporting code for integrating shells with Windows Terminal. Its aim is to define, register, and manage custom shell profiles (e.g. WSL distros, custom PowerShell builds, alternative shells like Git Bash, zsh via WSL) in Windows Terminal in an automated or reproducible fashion. The project includes scripts (PowerShell, possibly JSON manipulations) to scan available shells, generate Terminal profiles, and update or sync Windows Terminal’s settings.json with appropriate icons, command lines, and environment variables. ...

Oh My Posh 2 is an older theme engine for PowerShell inspired by Oh My Z‑SH and PS‑Config. It provides configurable, visually enriched command prompts—including git status, failed command markers, and session indicators—without altering default PowerShell behavior. Though superseded by the newer cross‑shell Oh My Posh utility, version 2 remains notable for its modular theming approach.

...We're working on simplifying ML.NET usage with additional technologies that automate the creation of the model for you so you don't need to write the code by yourself to train a model, you simply need to provide your datasets. The "best" model and the code for running it will be generated for you. The ML.NET CLI (command-line interface) is a tool you can run on any command prompt (Windows, Mac or Linux) for generating good quality ML.NET models based on training datasets you provide. In addition, it also generates sample C# code to run/score that model plus the C# code that was used to create/train it so you can research what algorithm and settings it is using.