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jaywcjlove/linux-command

jaywcjlove/linux-command: a 600-command reference you can self-host

Linux Linux. Linux command encyclopedia search tool, including Linux command manuals, detailed explanations, learning, and collection.

36,974 stars6,597 forksMarkdownMIT

At a glance

What is it?
A Markdown-based Linux command encyclopedia with a static web front end, an npm package and a Docker image. It is a reference to deploy, not a tool to run commands.
Who is it for?
Adopt it if you want a searchable, offline-capable Linux command reference you can host yourself, or if you need the command Markdown as build input for your own docs. Skip it if you expect executable tooling, verified command semantics, or an actively maintained corpus: the last push was on 2026-02-02, and the README states the author cannot fully guarantee the content is correct.
Can I use it commercially?
Yes. MIT is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
Is it still maintained?
Yes. The repository last received commits 24 days ago.
What is it written in?
Mainly Markdown, according to GitHub's language statistics.

Answers come from the project's GitHub data, last synced on September 25, 2026, and from our analysis. They are not legal advice.

DEEP OPEN-SOURCE ANALYSIS

What jaywcjlove/linux-command actually is

This is a documentation corpus with a search interface on top. The README states the repository collects more than 600 Linux commands, and that the content comes from the internet plus contributions from readers. The primary language of the repository is Markdown, which tells you where the real data lives: the command/ directory at the top level, where each command is a Markdown file.

The audience is narrow and specific. It is for people who want a Linux commands cheat sheet that works without a network connection, and for anyone who wants to publish such a reference under their own domain. It is not a package that adds commands to your system, and it does not execute anything. The README is explicit that the project is non-profit and that the site carries no advertising. That framing matters, because it explains the quality bar: this is a community-compiled manual, not a specification.

How the Markdown corpus becomes a searchable site

The data flow is visible in package.json. The main entry is dist/data.json, which means the build produces a single JSON file from the Markdown sources. Running the build script, node scripts/build.mjs, is what turns command/ into that JSON plus the static site. The devDependencies list ejs, stylus, uglify-js, markdown-to-html-cli and sitemap-generator, so the pipeline is templating, Markdown conversion, asset compression and sitemap generation, in that order of responsibility.

There is a second script, npm run dash, which runs the build first and then node scripts/dash.mjs. The name suggests a Dash docset generator, and the presence of sqlite3 as a pinned devDependency is consistent with that, since Dash docsets are SQLite databases. The README does not document what the dash script emits, so treat that as the one part of the toolchain you should inspect before relying on it.

The Dockerfile is minimal by design. It builds from wcjiang/docker-static-website:latest and copies ./.deploy into the image, which means the image serves whatever static output you place in that directory. Nothing in the Dockerfile builds the site. If .deploy is empty, you get an empty web server. That is a real trap for anyone who assumes the image is self-building.

Deployment is deliberately loose. The README says you can clone the gh-pages branch to any static host, or take the Markdown from command/ and generate your own HTML. It also asks, without requiring it, that self-hosted copies keep a link back to the GitHub repository.

Install and first run: npm, Docker, or plain static files

There are three routes, and they differ in how much you have to trust the build.

The npm package is named linux-command and it ships only two directories, command and dist, according to the files field in package.json. The package requires Node 16 or newer. Use it when you want the Markdown and the generated JSON as data rather than as a website.

bash
npm install linux-command

After install, the package exposes command/ as Markdown files and dist/data.json as the compiled index. You read them; you do not run a server.

To build the site yourself, clone the repository and run the build script from the package scripts. The README gives no flag list, and package.json defines no options, so this is the whole command surface.

bash
npm run build

The build script is node scripts/build.mjs. It reads command/ and writes the generated output, including dist/data.json. If the build fails, the cause is almost always a malformed Markdown file in command/, since that directory is the only input.

For a container, the Dockerfile expects a prebuilt .deploy directory. Build your static output first, then build the image.

bash
docker build -t linux-command .
docker run --rm -p 8080:80 linux-command

The base image is a static file server, so the site is reachable on port 80 inside the container, mapped to 8080 here. If the page is blank, check that .deploy actually contains index.html before blaming the image.

Where this reference breaks down

The README contains an unusually direct disclaimer: the author cannot fully guarantee the correctness of the content, and accepts no responsibility for risks from using the site. For a reference that people consult while typing commands into a production shell, that is the single most important sentence on the page. Treat every entry as a starting point and confirm against man pages or --help output on the system you are actually targeting.

Coverage is also uneven by nature. A corpus assembled from the internet and reader submissions will be strongest on the commands people use daily, such as ls, cat, grep, find, cp and ps, and weakest on anything vendor-specific or recently changed. There is no versioning of individual command entries against a distribution, so a page cannot tell you whether a flag exists in your kernel or coreutils release.

The project is not a runner. Many of the search questions around this repository are about using Linux commands in Windows or PowerShell. This project cannot help with that. It has no shell, no compatibility layer, and no Windows build. If that is your problem, you want WSL or a POSIX emulation layer, not a documentation site.

The maintenance cadence is worth stating plainly. The last push was on 2026-02-02, and the most recent release, v1.22.0, carries the same timestamp. The two releases before it were v1.21.0 on 2025-07-09 and v1.20.0 on 2025-02-21. That is a slow but real cadence, roughly two releases a year, so do not expect a newly added command or a correction to land quickly.

Alternatives and how they differ in approach

The closest alternative is tldr, and the difference is philosophical rather than technical. tldr is a community-maintained client and page set built around the idea that man pages are too long, so each page shows a handful of common invocations. The pages are short, example-first and deliberately incomplete. jaywcjlove/linux-command takes the opposite approach: longer entries, more prose, closer to a manual chapter than to a cheat sheet. If you want the five flags you will actually use, tldr is the better fit. If you want the surrounding explanation, this repository is.

A second option is the man pages already installed on your machine. They are authoritative for your exact package versions, which this corpus cannot be. Their weakness is search: man -k is not a web search box, and reading a full man page to find one flag is slow. That gap is precisely what this project fills.

The third option is a commercial or hosted cheat sheet. The trade-off there is licensing and lock-in. This repository is MIT, and the README permits you to deploy the web version freely, including removing all references to the original site, though it asks for a link back. That permission is the practical reason to prefer it over a closed reference you cannot fork.

Licence, upgrade cost and what to pin

The repository licence is MIT, and package.json declares "license": "MIT". The README adds a separate statement about the text itself: content comes from the internet and reader contributions, copyright belongs to the original authors, and the project disclaims responsibility for legal issues, offering to remove material on request. Those two statements are not the same claim. MIT covers the code and the packaging; the provenance of individual command entries is a separate question that the README handles by disclaimer rather than by per-file attribution. This is not legal advice, but if you are republishing the text commercially, read LICENSE and the README notice together and decide whether the disclaimer is enough for your situation.

Upgrade cost is low and mostly mechanical. The npm package version tracks the repository version, currently 1.22.0, and the build has no runtime dependencies, only devDependencies. Pin the version in your lockfile if you consume dist/data.json, because the JSON schema is not documented anywhere in the repository files and a future release could change its shape without a migration note. If you self-host the static site, the cheapest upgrade path is to pull the gh-pages branch again rather than rebuilding, since that branch is what the GitHub Action updates. If you fork the Markdown, you inherit the merge burden of a corpus that changes slowly but does change.

Editorial conclusion

Adopt it if you want a searchable, offline-capable Linux command reference you can host yourself, or if you need the command Markdown as build input for your own docs. Skip it if you expect executable tooling, verified command semantics, or an actively maintained corpus: the last push was on 2026-02-02, and the README states the author cannot fully guarantee the content is correct. Before deploying, verify the gh-pages branch still builds the search index you need and read the LICENSE file in the repository root, since the README describes the text as collected from the internet and user contributions.

Frequently asked questions

What are basic Linux commands, and does jaywcjlove/linux-command cover them?

The repository collects more than 600 Linux commands as Markdown files in the command directory, which includes the everyday set such as ls, cat, grep, find, cp and ps. The README describes the site as a Linux command manual and quick-reference collection.

How do I use Linux commands in Windows with jaywcjlove/linux-command?

You cannot. The project is a static documentation site and an npm data package, with no shell and no Windows build, so it can only tell you what a command does. Running Linux commands on Windows requires a separate compatibility layer, which the repository does not provide or document.

How do I install jaywcjlove/linux-command?

You either install the npm package named linux-command, which requires Node 16 or newer and ships the command and dist directories, or you clone the gh-pages branch to a static host. The README also documents a Docker deployment using the repository Dockerfile.

How do I use the Linux command line with jaywcjlove/linux-command?

The project is a reference you read, not a shell you type into, so it does not give you a command line. You use it to look up how a command such as find or tee works, then run that command in your own terminal.

How do I use the Linux command find according to jaywcjlove/linux-command?

The repository stores each command as a Markdown file under the command directory, so find has its own entry there, and the built site exposes it through the search box. The README does not describe per-command syntax, so the entry itself is what you read.

How do I use the Linux command tee according to jaywcjlove/linux-command?

As with any other command in the corpus, tee is a Markdown file in the command directory that the build converts into the searchable site. The README gives no per-command documentation beyond the entry pages themselves.

Official sources

  1. Official documentation
  2. Official README
  3. Project repository
  4. Release notes
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