If you’re still installing dependencies with Npm or Yarn, you might be donating minutes and gigabytes you’ll never get back. I switched one noisy repo to Pnpm (pnpm) and my laptop fan basically retired on the spot. It speeds up installs and skips duplicating the same packages across projects, without making you relearn your whole workflow.
Why developers are switching to Pnpm
- Speed that scales: Often clearly faster on fresh installs and in CI, and the gap widens as repos grow.
-
Huge disk savings: Instead of duplicating the same library in every
node_modules
, pnpm reuses a single copy across projects. - Fewer surprises: A stricter, more accurate dependency layout helps prevent “it works on my machine” mysteries.
- Great for monorepos: First-class workspace support keeps multi-package projects tidy and consistent.
According to the official Motivation page, pnpm stores packages in a global, content‑addressable store and links them into each project. That’s why disk usage drops and installs get faster as you add more projects on the same machine.
How Pnpm works (in plain English)
Traditional managers copy dependencies into every project’s node_modules
. Pnpm instead:
- Downloads a package version once into a global content-addressable store on your machine.
- Adds hard links/symlinks from your project’s
node_modules
back to that store. - Builds a non-flat, accurate dependency tree (you’ll notice a virtual store under
node_modules/.pnpm
) that mirrors how packages actually depend on each other.
The result: less disk I/O, less duplication, and cleaner isolation between direct and transitive dependencies. Think fewer “where did that dependency come from?” moments.
Real-world performance: what to expect
While results vary by project and CI setup, tests from large monorepos show a clear pattern:
- Yarn 2: around 6.5 minutes on a cold cache; about 1.2 minutes warm
- Yarn 3 (tuned): around 1.2 minutes cold; ~45 seconds warm
- Pnpm: around 58 seconds cold; ~24 seconds warm
These numbers are from one detailed case study; your mileage will vary. Still, the trend holds: pnpm shines during cache misses and stays snappy with a warm cache.
Pnpm vs Npm vs Yarn: quick comparison
Category | Pnpm | Npm | Yarn |
---|---|---|---|
Install speed | Very fast (cold and warm) | Solid, but slower on large graphs | Fast; Yarn 3 can be very competitive |
Disk usage | Minimal duplicates via global store + links | Duplicates per project | Duplicates per project (unless using advanced modes) |
node_modules layout | Nested, accurate; virtual store under .pnpm
|
Flat hoisted | Flat hoisted by default |
Dependency isolation | Strict, avoids phantom deps | Can allow undeclared access via hoisting | Can allow undeclared access via hoisting |
Workspaces/monorepos | Built-in and ergonomic | Supported | Supported, powerful |
Learning curve | Light; new layout/commands | Very familiar | Familiar; advanced features add complexity |
Getting started with Pnpm (5 steps)
1) Install pnpm globally
- Using Npm:
npm install -g pnpm
- Or via Corepack (Node 16.13+):
corepack enable && corepack prepare pnpm@latest --activate
2) Clean the project
- Remove prior artifacts:
rm -rf node_modules package-lock.json yarn.lock
3) Import lockfile (optional)
- From npm or yarn:
pnpm import
4) Install deps
pnpm install
5) Update scripts and docs
- Replace commands like
npm run
withpnpm run
where appropriate. - In monorepos, create a
pnpm-workspace.yaml
with your package globs.
Pro tip: Use one package manager per project. Commit
pnpm-lock.yaml
and document the choice for your team.
Common migration pitfalls (and fixes)
-
Undeclared dependencies break builds
- Why it happens: pnpm’s strict layout blocks access to packages you didn’t declare.
- Fix: add the missing dependency explicitly, or (as a last resort) use hoisting options like
public-hoist-pattern
/shamefully-hoist
for tools that expect a flat layout.
-
Tools that don’t follow symlinks well
- Some build tools or CLIs assume a flat
node_modules
. Add the exact dependency to the workspace using it, or enable limited hoisting for that package.
- Some build tools or CLIs assume a flat
-
CI caching feels “off”
- Ensure you cache pnpm’s global store directory and
pnpm-store
paths. Always restore cache beforepnpm install
.
- Ensure you cache pnpm’s global store directory and
-
Team muscle memory
- Create a local alias, e.g.,
alias pn=pnpm
, and share a short command map (see below) in your README.
- Create a local alias, e.g.,
Command cheat sheet (Npm/Yarn → Pnpm)
- Install all:
npm install
/yarn install
→pnpm install
- Add a prod dep:
npm i lodash
/yarn add lodash
→pnpm add lodash
- Add a dev dep:
npm i -D typescript
/yarn add -D typescript
→pnpm add -D typescript
- Remove:
npm uninstall pkg
/yarn remove pkg
→pnpm remove pkg
- Update:
npm update
/yarn upgrade
→pnpm update
- Run script:
npm run build
/yarn build
→pnpm run build
- Workspaces:
npm -w pkg run test
/yarn workspace pkg test
→pnpm -F pkg run test
Best practices for smooth adoption
- Standardize on pnpm per repo; don’t mix managers.
- Commit
pnpm-lock.yaml
and review it in PRs. - Keep Node and pnpm up to date across dev machines and CI.
- In monorepos, define clear workspace globs and use
pnpm -r
for repo-wide commands. - Cache the pnpm store in CI and restore it early in the pipeline.
Should you use Pnpm?
Choose the right tool for your context:
- Pick Pnpm if you manage large projects or monorepos, want faster fresh installs, or have limited disk space.
- Stick with Npm for maximum compatibility and if your project is small and simple.
- Consider Yarn if your team already standardizes on it and benefits from its specific features.
For many teams, a quick trial is enough: convert one repo, measure install times (cold and warm), and check disk usage. If the results mirror what others report, faster installs and smaller footprints, roll Pnpm out more widely.
Conclusion
Pnpm delivers faster installs, strict and reliable dependency resolution, and real disk-space savings. If you juggle multiple projects or a monorepo, it’s one of the easiest wins you can land this quarter. Try Pnpm on a single repository, measure the difference, and see if it earns a permanent spot in your toolkit.
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