Fundamentals 3 min read

Browse GitHub Repositories Instantly in VS Code with github1s

This article explains how to use the open‑source github1s project to view any GitHub repository directly inside a VS Code‑like interface by simply adding “1s” to the URL, and provides steps to run the tool locally.

MaGe Linux Operations
MaGe Linux Operations
MaGe Linux Operations
Browse GitHub Repositories Instantly in VS Code with github1s

VS Code is a free, open‑source, cross‑platform code editor developed by Microsoft that supports testing, built‑in Git version control, code completion, snippets, and refactoring, making it a popular choice for Python development.

Recently a GitHub project called github1s enables users to read a GitHub repository’s code directly in a VS Code interface without cloning the repo.

To use github1s, simply append 1s after the word github in any GitHub URL and press Enter; the repository will open in a VS Code‑style view. The project’s developers are from Baidu.

For example, with the Deeptime Python library ( https://github.com/deeptime-ml/deeptime ), change the URL from https://github.com/deeptime-ml/deeptime to https://github1s.com/deeptime-ml/deeptime (adding 1s) and press Enter to browse the code.

Images illustrate the URL modification and the resulting VS Code interface.

Prerequisites for running github1s locally include cloning the repository and installing dependencies:

git clone [email protected]:conwnet/github1s.git
cd github1s
yarn
yarn watch
yarn serve # in another shell
# Then visit http://localhost:5000 once the build is completed.

# Build the project

yarn
yarn build

After starting the server, opening http://localhost:5000 displays the VS Code interface for browsing the repository.

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GitHubdevelopment-toolsVS Codecode browsinggithub1s
MaGe Linux Operations
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MaGe Linux Operations

Founded in 2009, MaGe Education is a top Chinese high‑end IT training brand. Its graduates earn 12K+ RMB salaries, and the school has trained tens of thousands of students. It offers high‑pay courses in Linux cloud operations, Python full‑stack, automation, data analysis, AI, and Go high‑concurrency architecture. Thanks to quality courses and a solid reputation, it has talent partnerships with numerous internet firms.

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