@nrwl/tao
Advanced tools
The @nrwl/tao package is part of the Nx monorepo toolset provided by Nrwl. It provides a set of utilities for workspace management, task orchestration, and abstracts away the configuration for building and testing applications. It is designed to help developers create and maintain monorepo setups more efficiently.
Workspace Management
This feature allows you to read the workspace configuration file, which is useful for understanding the structure and configuration of projects within the workspace.
const { readWorkspaceJson } = require('@nrwl/tao/src/core/file-utils');
const workspaceJson = readWorkspaceJson();Task Orchestration
This feature enables you to programmatically execute tasks such as building or testing a project within the workspace. It is useful for automating workflows and integrating with other tools.
const { runCommand } = require('@nrwl/tao/src/commands/run-command');
runCommand('build', { project: 'my-app' }, { interactive: false });Configuration Abstraction
This feature provides utility functions to work with the workspace's root path and other configuration details, simplifying the process of setting up and maintaining a monorepo.
const { getWorkspacePath } = require('@nrwl/tao/src/utils/app-root');
const workspacePath = getWorkspacePath();Lerna is a tool for managing JavaScript projects with multiple packages, similar to @nrwl/tao. It optimizes the workflow around managing multi-package repositories with git and npm. Lerna can also automate the versioning and publishing of packages.
Yarn Workspaces is a feature of Yarn that allows users to set up multiple package directories within a single repository. It is similar to @nrwl/tao in that it helps manage dependencies and linking between packages in a monorepo.
š Smart, Extensible Build Framework
Nx is a smart and extensible build framework to help you architect, test, and build at any scale ā integrating seamlessly with modern technologies and frameworks while providing a distributed graph-based task execution, computation caching, smart rebuilds of affected projects, powerful code generators, editor support, GitHub apps, and more.
Nx provides distributed graph-based task execution and computation caching.
Nx is smart. It analyzes your workspace and figures out what can be affected by every code change. That's why Nx doesn't rebuild and retest everything on every commit--it only rebuilds what is necessary .
Nx partitions commands into a graph of smaller tasks. Nx then runs those tasks in parallel, and it can even distribute them across multiple machines without any configuration.
Nx also uses a distributed computation cache. If someone has already built or tested similar code, Nx will use their results to speed up the command for everyone else.
Nx helps scale your development from one team building one application to many teams building multiple frontend and backend applications all in the same workspace. When using Nx, developers have a holistic dev experience powered by an advanced CLI (with editor plugins), capabilities for controlled code sharing and consistent code generation.
Nx is an open platform with plugins for many modern tools and frameworks. It has support for TypeScript, React, Angular, Cypress, Jest, Prettier, Nest.js, Next.js, Storybook, Ionic among others. With Nx, you get a consistent dev experience regardless of the tools used.
An internal package implementing the core functionality of the Nx CLI.
This package is used by the @nrwl/workspace. See https://github.com/nrwl/nx for more information.
Even though Nx isn't technology specific, we provide 3 separate flavours of the documentation site to it make it easier for you to get up and running. For every link below, you will be able to select whether you want your examples to be written in React, Node or Angular.
| Scale React Development with Nx | Nx Workspaces | Advanced Nx Workspaces |
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FAQs
CLI for generating code and running commands
The npm package @nrwl/tao receives a total of 2,803,183 weekly downloads. As such, @nrwl/tao popularity was classified as popular.
We found that @nrwl/tao demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.Ā It has 7 open source maintainers collaborating on the project.
Did you know?
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