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Taron Vardanyan
Taron Vardanyan

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Node Package Managers Compared: npm vs Yarn vs pnpm vs Bun ⚙️

Every JavaScript developer installs packages — but not everyone realizes how different package managers really are.

Whether you’re building a side project or maintaining a massive monorepo, the choice between npm, Yarn, pnpm, and Bun can affect your speed, storage, and developer experience.

Let’s explore what sets them apart.


🧩 npm — The Classic Default

npm (Node Package Manager) is the original and still most widely used tool for managing Node.js dependencies.

It ships with Node.js, making it the easiest to start with.

✅ Pros

  • Comes preinstalled with Node.js
  • Huge ecosystem (1M+ packages)
  • Reliable package-lock.json for deterministic installs
  • Workspaces support for monorepos

❌ Cons

  • Slower installs compared to modern alternatives
  • Historically prone to dependency duplication
  • Larger node_modules size

📦 Example commands

npm install lodash  
npm uninstall lodash  
npm run build  
npm ci  
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⚡ Yarn — Speed and Reliability

Created by Facebook, Yarn was a response to npm’s early performance and consistency issues.

It introduced lock files, parallel installs, and offline caching, setting new standards for package management.

✅ Pros

  • Faster installs than npm (especially v1)
  • Predictable dependency trees (yarn.lock)
  • Offline caching
  • Great for monorepos with Yarn Workspaces

❌ Cons

  • Multiple major versions (v1, v2, v3) can cause confusion
  • Plug’n’Play (PnP) may break some tools
  • Slightly steeper learning curve

📦 Example commands

yarn add lodash  
yarn remove lodash  
yarn build  
yarn install --immutable  
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🪶 pnpm — Performance and Efficiency

pnpm (short for performant npm) takes a smart approach to dependency storage.

Instead of duplicating packages for every project, it uses a global content-addressable store and symlinks, saving tons of disk space.

✅ Pros

  • Blazing fast installs
  • Minimal disk usage via global cache
  • Strict dependency isolation — avoids “phantom dependencies”
  • Excellent monorepo support via pnpm workspaces

❌ Cons

  • Some CI/CD or tooling setups need extra tweaks
  • Learning curve if you’re coming from npm

📦 Example commands

pnpm add lodash  
pnpm remove lodash  
pnpm run build  
pnpm install --frozen-lockfile  
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🧈 Bun — The New All-in-One Runtime

Bun is more than a package manager — it’s a complete JavaScript runtime, written in Zig.

It bundles, runs, and installs dependencies at lightning speed.

✅ Pros

  • Incredibly fast installs and scripts
  • Bundler + test runner + runtime in one
  • Fully npm-compatible
  • Zero setup — works out of the box

❌ Cons

  • Still evolving; some Node APIs aren’t 100% supported
  • Smaller ecosystem than Node/npm
  • Potential compatibility issues for older packages

📦 Example commands

bun install  
bun add lodash  
bun remove lodash  
bun run build  
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⚔️ Benchmark Snapshot

Package Manager Cold Install (s) Reinstall (s) Disk Space (MB) Notes
npm 25–30 10–15 250+ Reliable but slower
Yarn 15–20 8–10 220+ Balanced and mature
pnpm 10–15 4–6 100–120 Ultra-efficient
Bun 3–5 2–3 100–110 Fastest overall

(Results vary based on network and hardware.)


🧠 Which One Should You Use?

Scenario Recommended Tool
You want stability and compatibility npm
You need a balance of speed and features Yarn
You work with monorepos or large projects pnpm
You love cutting-edge performance Bun

🧭 TL;DR

  • npm → The standard and safest default.
  • Yarn → Familiar, stable, and faster than npm.
  • pnpm → Efficient and ideal for large-scale apps.
  • Bun → Future-facing speed demon.

Each tool has a unique philosophy — your best choice depends on team size, workflow, and ecosystem compatibility.


💬 Final Thoughts

The Node.js world is evolving fast.

What used to be a single choice (npm) is now a diverse ecosystem of package managers that prioritize speed, reliability, and efficiency.

If you haven’t yet, try running your next install with pnpm or Bun — the difference might surprise you.

Happy coding! ⚙️✨


Follow me for more deep dives into the modern JavaScript ecosystem!

👉 @taronvardanyan

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