donnemartin/dev-setup
Dev Setup
This project is a collection of scripts and configuration files designed to automate the deployment of developer toolsets, big data tools, and system-wide dotfiles. It serves as a provisioning system for installing languages, data analysis tools, and system dependencies across diverse programming stacks.
The suite provides specialized automation for macOS developer onboarding and the setup of Python data science workflows. It includes dedicated installers for distributed processing engines like Spark and Hadoop, as well as environments for web and mobile development.
The system covers a broad range of capabilities, including shell environment customization, text editor and version control configuration, and the management of isolated virtual environments. It also provides a variety of command-line utilities for file management, network lookups, and system dependency orchestration.
Features
- macOS Development Environments - Automates the installation of system tools, package managers, and OS settings for macOS developer onboarding.
- Remote Configuration Synchronization - Synchronizes shell, editor, and version control configurations from a remote repository to the local home directory.
- Provisioning Scripts - Automates the installation of developer tools and system settings using executable shell scripts for environment setup.
- Infrastructure Setup - Automates the installation and configuration of cloud infrastructure and distributed processing engines for large datasets.
- Environment Setup - Provides automated installation and configuration of distributed processing engines like Spark and Hadoop.
- Installation Scripts - Ships a set of configuration guides and scripts for deploying Spark and Hadoop on local machines.
- Provisioning Utilities - Provides automated installers and configuration scripts for distributed processing engines like Spark and Hadoop.
- Code Formatting Utilities - Standardizes code formatting rules for character encoding, line endings, and indentation.
- Command Line Package Managers - Coordinates the installation of system dependencies and third-party applications through a centralized command line package manager.
- Custom Command Sourcing - Provides a mechanism for sourcing additional custom commands or overrides via local files.
- Development Environment Provisioners - Provides an automation system for installing languages, data analysis tools, and system dependencies across diverse stacks.
- Developer Toolset Deployments - Deploys specialized software stacks across domains including data analysis, web development, and mobile tools.
- Development Environment Suites - Installs and configures a suite of specialized development environments for various programming languages.
- Git Configuration - Defines custom command aliases and global settings to streamline version control workflows.
- Dotfile Symlinking - Synchronizes tool settings across machines by mapping remote repository configuration files to local home directory paths.
- Package Manager Installers - Installs and updates common applications and libraries using system package managers to make them available on the command line.
- Private Alias Injections - Loads local private files to add custom aliases without modifying the primary configuration.
- Python Environment Managers - Manages isolated virtual environments and package managers to handle dependencies for data science libraries.
- Setup Automation Scripts - Provides automated scripts for bootstrapping a macOS workstation and linking system configurations during onboarding.
- System Dependency Managers - Automates the installation and configuration of required system-level software and operating system updates.
- Shell Interaction Optimizations - Enhances shell interaction with case-insensitive autocomplete and intelligent history searching.
- Shell Initialization Engines - Provides a mechanism to orchestrate the loading and sourcing of discrete configuration files during shell startup.
- Text Editor Configurations - Defines default behaviors for terminal editors, including visual themes, indentation, and clipboard integration.
- Dotfile Collections - Collects configuration files and scripts to synchronize text editor, version control, and system settings across machines.
- Shell Environment Configurations - Sets global environment variables for default editors, language locales, and tool behaviors.
- Data Science Workflow Automations - Sets up isolated virtual environments and specialized libraries to manage dependencies for data analysis and scientific computing.
- OS Preference Defaults - Adjusts system-level preferences and OS defaults to optimize the software development environment.
- Virtual Environments - Creates isolated Python virtual environments and wrappers to manage dependencies for data analysis workflows.
- Local Data Stores - Automates the installation and configuration of local database systems and search engines.
- Environment Provisioning - Automates the setup of standard packages and configurations for isolated language-specific development environments.
- Language Environment Provisioning - Provisions the necessary software stacks and language environments for JavaScript web and Android mobile applications.
- Virtual Environment Isolation - Creates dedicated Python runtime spaces and wrappers to prevent dependency conflicts between different data analysis projects.
- Development Environment - Scripts and tools for configuring data science development environments.
- Archived Projects - Development environment setup scripts.
Star history
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