Adoption signals
The public AI-Buzz leaderboard for package demand, ecosystem depth, GitHub activity, and code adoption across 263+ AI companies. Open Research or company pages for the full context behind any row.
Data as of April 15, 2026. 28 daily metrics from 12 data sources. Used in Research Briefs, company pages, and the Developer Adoption leaderboard.Pydantic (Samuel Colvin) leads AI developer adoption with 1.4B package downloads/mo, followed by OpenAI (520.9M) and LangChain (328.8M). Across 263+ AI companies, AI-Buzz tracks 4.1B total monthly downloads from npm and PyPI registries, updated daily.
Public leaderboard
Package demand, GitHub activity, and code adoption across tracked AI companies. Open Research or company pages for the full context behind any row.
AI Infrastructure
Pydantic (Samuel Colvin)
1.4B downloads/moOpen the company page for package, GitHub, and other signals behind the brief-level story.
Foundation Models
OpenAI
520.9M downloads/moOpen the company page for package, GitHub, and other signals behind the brief-level story.
Developer Tools
LangChain
328.8M downloads/moOpen the company page for package, GitHub, and other signals behind the brief-level story.
This page is the single public home for AI-Buzz adoption rankings and supporting signal tables. Download sections use 30-day totals from the npm registry and PyPI. Downloads measure installs, not unique users, so CI/CD pipelines and mirrors can inflate counts. Full methodology →
Combined npm and PyPI downloads per month. A direct measure of how many developers are actively using each company's tools.
1.4B downloads/mo — 33% of all tracked AI company downloads/mo
Combined npm and PyPI packages that depend on each company's tools. High dependent counts indicate deep ecosystem integration that's difficult to replicate.
51.0K dependents — 35% of all tracked AI company dependents
Public GitHub repositories that import each company's packages. Code adoption measures developers who committed import statements into version-controlled projects.
50.5K repos — 17% of all tracked AI company repos
GitHub stars reflect developer interest and awareness. Stars measure visibility, not necessarily active usage - see download data for direct adoption metrics.
Weekly commits indicate active development pace. Companies shipping frequently tend to iterate faster on developer tools.
Unique push authors per day (latest tracked day). More contributors indicate a broader, healthier development community.
