
Security News
rv Is a New Rust-Powered Ruby Version Manager Inspired by Python's uv
Ruby maintainers from Bundler and rbenv teams are building rv to bring Python uv's speed and unified tooling approach to Ruby development.
react-lib-zee
Advanced tools

In the project directory, you can run:
$ yarn start
Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
$ yarn storybook
Runs the interactive storybook where you can see and test the components.
Open http://localhost:6006 to view the Storybook in the browser.
$ yarn test
Launches the test runner in the interactive watch mode.
See the section about running tests for more information.
$ yarn build
Builds the app for production to the build
folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about deployment for more information.
FAQs

The npm package react-lib-zee receives a total of 10 weekly downloads. As such, react-lib-zee popularity was classified as not popular.
We found that react-lib-zee demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Ruby maintainers from Bundler and rbenv teams are building rv to bring Python uv's speed and unified tooling approach to Ruby development.
Security News
Following last week’s supply chain attack, Nx published findings on the GitHub Actions exploit and moved npm publishing to Trusted Publishers.
Security News
AGENTS.md is a fast-growing open format giving AI coding agents a shared, predictable way to understand project setup, style, and workflows.