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Low-level system APIs for getting and setting process environment variables.
Distinct from Environment Variables: Existing candidates focus on cloud injection or JVM configs, not the base system API calls
Explore 3 awesome GitHub repositories matching operating systems & systems programming · Environment Variable Manipulation. Refine with filters or upvote what's useful.
pyenv-virtualenv is a plugin for pyenv that creates and manages isolated Python virtual environments on Unix-like systems. It functions as an environment orchestrator that extends the core version switching system to provide project isolation. The tool automates the activation and switching of Python environments based on the current working directory. It also includes a bridge for managing and interacting with Conda environments through the pyenv interface. The project covers the full lifecycle of environment management, including the creation, listing, and deletion of isolated environments
Modifies the system PATH variable to prioritize specific environment binaries over global installations.
nix is a Unix system API library and Rust system programming interface that provides type-safe bindings for invoking low-level system calls. It serves as a low-level operating system wrapper and POSIX compatibility layer, allowing for kernel interactions and administrative tasks through safe wrappers around platform-specific APIs. The project provides a kernel device interface for controlling hardware devices, managing kernel modules, and configuring terminal interfaces. It differentiates itself by offering type-safe wrappers for memory mapping and zero-copy input-output operations to reduce
Gets and sets variables that define the operating environment for the system and running processes.
This project is a parallel simulation engine and molecular dynamics simulator designed to model the physical movements of atoms and molecules. It functions as an interatomic potential framework for calculating forces between particles and a materials analysis tool for computing thermodynamic, structural, and transport properties of solids and fluids. The engine is distinguished by its high-performance computing capabilities, utilizing spatial-domain decomposition and message-passing interface communication to distribute workloads across processors. It supports multi-backend GPU acceleration v
Provides capabilities to manipulate process environment variables and resolve executable paths.