How LPM is Different

vs npm

FeaturenpmLPM
Package salesNot supportedMarketplace with Stripe checkout
Revenue sharingNot supportedPool subscription ($12/month, 80% to authors)
Source code deliverynode_modules onlyAlso supports direct source extraction (lpm add)
Commercial licensesNot supportedBuilt-in redistribution licensing
Private packages$7/month (npm Pro)2 free, unlimited on Pro ($7/month)
AI package analysisNot supportedSecurity scans, error quality, API docs, package summaries
Quality scoringNot supported26 automated checks (JS), 23 (Swift), 19 (XCFramework) with score tiers

npm is designed for open source distribution. LPM adds an economics layer so authors can earn from their work directly through package sales or subscription revenue.

vs GitHub Packages

FeatureGitHub PackagesLPM
Public marketplaceNoYes
Revenue sharingNoPool system
Pricing flexibilityNoPer-user, per-org, and commercial licenses
Source code deliveryNoYes (lpm add)
AI analysisNoAutomatic on every publish

GitHub Packages is primarily a private registry tied to GitHub organizations. LPM is a public marketplace where anyone can discover, buy, and install packages.

vs Tidelift / Open Collective

These platforms handle funding, not distribution. Developers donate or sponsor, but there is no access control or package delivery tied to payments.

LPM combines distribution with monetization. Buying a license grants lpm install access. Pool subscriptions unlock all Pool packages. Payments and access are the same system.

Source Code Delivery

This has no equivalent in npm, GitHub Packages, or any major registry. lpm add extracts full source files into your project directory, similar to how shadcn/ui works. Authors can define configurable options so users pick exactly the configuration they need.

AI-Powered Package Analysis

After every publish, LPM automatically analyzes your source code with AI. This runs in the background and results appear on your package page within minutes.

  • Package summary: generates a plain-English description, capabilities list, use cases, and search tags from actual code behavior
  • Security scan: detects anti-patterns like command injection, eval usage, prototype pollution, path traversal, hardcoded secrets, and unsafe deserialization
  • Error handling quality: evaluates error messages, catch blocks, and async error patterns, scored as good/fair/poor
  • API documentation: when no TypeScript definitions are available, AI generates structured API docs from source code

No other major registry provides automated code analysis at this level. npm and GitHub Packages show whatever the author writes in the README. LPM supplements that with AI-verified insights about what the code actually does.