4 个仓库
Utilities that automate the isolation, version control, and management of language runtimes and project dependencies.
Explore 4 awesome GitHub repositories matching programming languages & runtimes · Environment Managers. Refine with filters or upvote what's useful.
这是一个全面的、由社区策划的目录,组织了庞大的 Python 软件库、框架和工具生态。它作为一个中心化知识库,旨在促进生态导航并加速开发者在整个软件开发生命周期中的发现过程。 该目录通过提供按技术领域分类的结构化资源索引脱颖而出,范围从基础开发工具到专业工程领域。它涵盖了人工智能、数据科学、Web 开发和基础设施管理等高级能力,使开发者能够为特定的技术挑战识别经过验证的解决方案。 该项目涵盖了广泛的能力领域,包括依赖管理、静态代码分析和自动化测试工具。它还编目了用于持久数据存储、云基础设施编排和接口开发的资源,为构建和维护复杂软件系统提供了统一的参考。
Isolate project dependencies and maintain runtime consistency with specialized environment managers.
This project is a command-line tool designed for managing multiple runtime versions on a local machine. It functions as a shell-based environment manager that enables users to install, switch between, and maintain different versions of a runtime to support project-specific requirements or diverse shell sessions. By dynamically updating system paths and environment variables, it provides a consistent interface for runtime version control across various Unix-like operating systems. The tool distinguishes itself through its portable, POSIX-compliant shell implementation, which ensures reliable e
Maintains consistent runtime version control across a wide range of shell types and operating system configurations.
uv is a high-performance Python package manager and project build tool designed to handle dependency resolution, virtual environment orchestration, and Python interpreter management. It functions as a comprehensive workspace orchestrator, enabling developers to manage complex, multi-package repositories and ensure reproducible builds across different platforms. The tool distinguishes itself through its use of a global, content-addressable cache and hard-link-based environment provisioning, which allow for near-instant environment creation and minimal disk usage. It employs a high-performance
Maintains isolated Python runtimes and project dependencies to ensure consistent development and production environments.
FastMCP is a Python framework designed for building servers that expose functions, resources, and prompts to AI models using the Model Context Protocol. It simplifies the development process by automatically deriving tool metadata, input schemas, and documentation directly from Python function signatures and type hints. The framework provides a unified container for managing these components, allowing developers to build modular applications that integrate seamlessly with AI assistants. The project distinguishes itself through its support for interactive, server-defined user interface compone
Automates the creation of isolated Python environments and dependency installation for server execution.