Product
Socket Now Supports uv.lock Files
Socket now supports uv.lock files to ensure consistent, secure dependency resolution for Python projects and enhance supply chain security.
@zenfs/core
Advanced tools
ZenFS is a file system that emulates the NodeJS filesystem API.
It works using a system of backends, which are used by ZenFS to store and retrieve data. ZenFS can also integrate with other tools.
ZenFS is a fork of BrowserFS.
ZenFS is modular and extensible. The core includes a few built-in backends:
InMemory
: Stores files in-memory. This is cleared when the runtime ends (e.g. a user navigating away from a web page or a Node process exiting)Overlay
: Use read-only file system as read-write by overlaying a writable file system on top of it.AsyncMirror
: Use an asynchronous backend synchronously. This is very helpful for asynchronous backends[!NOTE] When constructed,
AsyncMirror
loads the entire contents of the async file system into a synchronous backend. It performs operations on the synchronous file system and then queues them to be mirrored onto the asynchronous backend.
ZenFS supports a number of other backends. Many are provided as separate packages under @zenfs
. More backends can be defined by separate libraries by extending the FileSystem
class and/or providing a Backend
object.
For more information, see the docs.
npm install @zenfs/core
[!NOTE] The examples are written in ESM.
If you are using CJS, you canrequire
the package.
If using a browser environment without support fortype=module
inscript
tags, you can add ascript
tag to your HTML pointing to thebrowser.min.js
and use ZenFS with the globalZenFS
object.
import fs from '@zenfs/core'; // You can also use the named export, `fs`
fs.writeFileSync('/test.txt', 'Cool, I can do this in any JS environment (including browsers)!');
const contents = fs.readFileSync('/test.txt', 'utf-8');
console.log(contents);
A single InMemory
backend is created by default, mounted on /
.
You can configure ZenFS to use a different backend and mount multiple backends. It is strongly recommended to do so using the configure
function.
You can use multiple backends by passing an object to configure
which maps paths to file systems.
The following example mounts a zip file to /zip
, in-memory storage to /tmp
, and IndexedDB to /home
. Note that /
has the default in-memory backend.
import { configure, InMemory } from '@zenfs/core';
import { IndexedDB } from '@zenfs/dom';
import { Zip } from '@zenfs/zip';
const zipData = await (await fetch('mydata.zip')).arrayBuffer();
await configure({
'/mnt/zip': { backend: Zip, zipData },
'/tmp': InMemory,
'/home': IndexedDB,
};
[!TIP] When configuring a mount point, you can pass in
- A
Backend
object, if the backend has no required options- An object that has the options accepted by the backend and a
backend
property which is aBackend
object- A
FileSystem
instance (not recommended)
Here is an example that mounts the Storage
backend from @zenfs/dom
on /
:
import { configure, fs } from '@zenfs/core';
import { Storage } from '@zenfs/dom';
await configure({ backend: Storage });
if (!fs.existsSync('/test.txt')) {
fs.writeFileSync('/test.txt', 'This will persist across reloads!');
}
const contents = fs.readFileSync('/test.txt', 'utf-8');
console.log(contents);
The FS promises API is exposed as promises
.
import { configure, promises } from '@zenfs/core';
import { IndexedDB } from '@zenfs/dom';
await configure({ '/': IndexedDB });
const exists = await promises.exists('/myfile.txt');
if (!exists) {
await promises.write('/myfile.txt', 'Lots of persistant data');
}
[!NOTE] You can import the promises API using
promises
, or usingfs.promises
on the exportedfs
.
[!IMPORTANT] ZenFS does not provide a separate public import for importing promises like
fs/promises
. If you are using ESM, you can import promises functions likefs/promises
from thedist/emulation/promises.ts
file, though this may change at any time and is not recommended.
You may have noticed that attempting to use a synchronous function on an asynchronous backend (e.g. IndexedDB
) results in a "not supplied" error (ENOTSUP
). If you would like to use an asynchronous backend synchronously you need to wrap it in an AsyncMirror
:
import { configure, fs, AsyncMirror, InMemory } from '@zenfs/core';
import { IndexedDB } from '@zenfs/dom';
await configure({
'/': {
backend: AsyncMirror,
sync: InMemory,
async: IndexedDB,
},
});
fs.writeFileSync('/persistant.txt', 'My persistant data');
If you would like to create backends without configure (e.g. to do something dynamic at runtime), you may do so by importing the backend and calling createBackend
with it.
You can then mount and unmount the backend instance by using mount
and umount
.
import { configure, createBackend, InMemory } from '@zenfs/core';
import { IndexedDB } from '@zenfs/dom';
import { Zip } from '@zenfs/zip';
await configure({
'/tmp': InMemory,
'/home': IndexedDB,
};
fs.mkdirSync('/mnt');
const res = await fetch('mydata.zip');
const zipFs = await createBackend(Zip, { zipData: await res.arrayBuffer() });
fs.mount('/mnt/zip', zipFs);
// do stuff with the mounted zip
fs.umount('/mnt/zip'); // finished using the zip
[!WARNING] Instances of backends follow the internal ZenFS API. You should never use a backend's methods unless you are extending a backend.
ZenFS exports a drop-in for Node's fs
module (up to the version of @types/node
in package.json), so you can use it for your bundler of preference using the default export.
npm install
npm run build
dist
.Run unit tests with npm test
.
FAQs
A filesystem, anywhere
The npm package @zenfs/core receives a total of 7,891 weekly downloads. As such, @zenfs/core popularity was classified as popular.
We found that @zenfs/core demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers 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.
Product
Socket now supports uv.lock files to ensure consistent, secure dependency resolution for Python projects and enhance supply chain security.
Research
Security News
Socket researchers have discovered multiple malicious npm packages targeting Solana private keys, abusing Gmail to exfiltrate the data and drain Solana wallets.
Security News
PEP 770 proposes adding SBOM support to Python packages to improve transparency and catch hidden non-Python dependencies that security tools often miss.