Pacquet's recursive command pipeline previously dispatched selected projects independently or lost the selection before package-manager execution. This could overwrite earlier manifest mutations, truncate workspace lockfile state, or materialize projects outside the requested filter. Thread one workspace selection through command dispatch and package-manager execution, batch manifest mutations into a single install, retain the complete wanted lockfile, and derive current-lockfile and node_modules state from the selected dependency closure. Apply the same workspace root and selection semantics to query, state, global, deploy, and pnpr-backed paths. Keep full-workspace recursive installs on the ordinary unfiltered fast and frozen paths, and add regression coverage for filtering, lockfile preservation, dependency closure materialization, pnpr multi-importer responses, and TypeScript parity edge cases. Depends on pnpm/pnpm#13016. --------- Co-authored-by: Zoltan Kochan <z@kochan.io>
jsr: and named-registry package names (empty scope/name, path separators) (#12677)
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Fast, disk space efficient package manager:
- Fast. Up to 2x faster than the alternatives (see benchmark).
- Efficient. Files inside
node_modulesare linked from a single content-addressable storage. - Great for monorepos.
- Strict. A package can access only dependencies that are specified in its
package.json. - Deterministic. Has a lockfile called
pnpm-lock.yaml. - Works as a Node.js version manager. See pnpm runtime.
- Works everywhere. Supports Windows, Linux, and macOS.
- Battle-tested. Used in production by teams of all sizes since 2016.
- Experimental Rust port. Includes pacquet, an experimental port of the CLI written in Rust.
- See the full feature comparison with npm and Yarn.
To quote the Rush team:
Microsoft uses pnpm in Rush repos with hundreds of projects and hundreds of PRs per day, and we’ve found it to be very fast and reliable.
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Background
pnpm uses a content-addressable filesystem to store all files from all module directories on a disk. When using npm, if you have 100 projects using lodash, you will have 100 copies of lodash on disk. With pnpm, lodash will be stored in a content-addressable storage, so:
- If you depend on different versions of lodash, only the files that differ are added to the store.
If lodash has 100 files, and a new version has a change only in one of those files,
pnpm updatewill only add 1 new file to the storage. - All the files are saved in a single place on the disk. When packages are installed, their files are linked from that single place consuming no additional disk space. Linking is performed using either hard-links or reflinks (copy-on-write).
As a result, you save gigabytes of space on your disk and you have a lot faster installations!
If you'd like more details about the unique node_modules structure that pnpm creates and
why it works fine with the Node.js ecosystem, read this small article: Flat node_modules is not the only way.
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Getting Started
Benchmark
pnpm is up to 2x faster than npm and Yarn classic. See all benchmarks here.
Benchmarks on an app with lots of dependencies:
License
MIT, except the pnpr/ directory, which is source-available under the PolyForm Shield License 1.0.0.