Suggest an editImprove this articleRefine the answer for “Why is Yarn considered fast?”. Your changes go to moderation before they’re published.Approval requiredContentWhat you’re changing🇺🇸EN🇺🇦UAPreviewTitle (EN)Short answer (EN)**Yarn** is considered fast because of its architecture and approach to installing packages. **Key point:** Yarn is faster thanks to parallel installation, effective caching, a deterministic dependency structure, and optimized filesystem work.Shown above the full answer for quick recall.Answer (EN)ImageYarn is considered fast because of its architecture and approach to installing packages. --- ### **1. Parallel dependency installation** For a long time, npm installed packages sequentially. Yarn has downloaded and installed dependencies **in parallel** from the start, using available CPU resources. This noticeably speeds up the process on large projects. --- ### **2. Aggressive caching** Yarn stores every downloaded package version in a local cache and *does not download it again* on a repeat install. A repeat `yarn install` runs significantly faster than `npm install`, especially on CI and in large teams. --- ### **Determinism of** `yarn.lock` Thanks to `yarn.lock`, Yarn builds the dependency tree **deterministically**, without "rebuilding" the tree, which reduces the number of conflicts and speeds up installation on repeat runs. --- ### **4. Less filesystem "noise"** Yarn optimizes the number of write operations into `node_modules`, unlike early versions of npm, which made many extra disk accesses (which slowed down installs on HDDs and CI). --- ### **Summary** Yarn is faster thanks to **parallel installation, effective caching, a deterministic dependency structure, and optimized filesystem work**.For the reviewerNote to the moderator (optional)Visible only to the moderator. Helps review go faster.