🐍 CLI tool to find and delete unused Python virtual environments (.venv, poetry, conda, pipenv, uv). Reclaim disk space effortlessly — supports bulk delete, size reporting, and pycache cleanup.

Parallel, isolated dev environments for humans and AI coding agents. Real containers. Real databases. Zero collisions.

this.env defines, locks, and hashes the environment to establish a reliable and secure operational context. By detecting and responding to changes, it ensures consistency and integrity, especially for intelligent systems and machine learning applications.

Import packages in Python, even if they aren't installed!

Automatic UV-based Python virtual environment management for seamless project workflows

Enterprise environment management platform with integrated observability and AI automation. Kubernetes-native, multi-cloud support for AWS, Azure, GCP.

A simple CLI tool to generate and manage .env files for your projects.

Fast Python virtual environment manager for all OS'es

EVE Frontier Development Utility — spin up EVE Frontier localnet environments fully provisioned with a single `efctl env up` command; monitor events with `efctl env dash` interact with `efctl graphql` and `efctl world`.

Building Better Research Software R

An enhanced, cross-platform CLI on top of conda. One-liner backup, restore, clone, offline pack, batch cleanup, and an interactive panel — plus friendly error hints that translate raw conda stack traces into actionable solutions. Pure Python, single dep (click), tested on Windows / macOS / Linux.

This repository provides tools and scripts to simplify the creation and management of custom Google Compute Engine (GCE) Virtual Machines optimized for use with Google Cloud Colab. It focuses on project, zone, and instance customization to tailor the VM environment to specific Colab workflows.

n8n workflow deployment CLI - promote workflows from dev to prod without breaking live automations

Your .env files, local-first and under your control.

A reproducible Docker-based pipeline for running machine learning experiments with GPU support. This repository provides pre-configured Docker images, environment files, and scripts for: - Setting up GPU-enabled containers - Running training and inference - Managing environments reproducibly

A collection of declarative configuration files for consistent and reproducible Python virtual environment management across all devices. Includes setups for data science, deep learning, LLMs, and web development, utilizing tools like conda, pip, and modern alternatives like uv.

Workspace manager for developers. Cross-platform desktop app built with Tauri 2, React 19 and Rust.

Airlock is a migration-first environment contract system for Node.js. Define env changes in TypeScript, generate artifacts, validate every target, and ship config updates safely.

A Python CLI tool for project scaffolding, environment management, and reproducible workflows.

🔗 Minimal vanilla JS directory listing app for managing multi-environment service links in Distroless Docker image