Adoption signals
Package, contributor, dependent, and code-adoption signals across 263+ AI companies. Use them to pressure-test Research Briefs and open the underlying company pages.
Data as of April 14, 2026. 28 daily metrics from 12 data sources. Used in Research Briefs, company pages, and DAI Rankings.Pydantic (Samuel Colvin) leads AI developer adoption with 1.2B package downloads/mo, followed by OpenAI (483.9M) and LangChain (314.3M). Across 263+ AI companies, AI-Buzz tracks 3.8B total monthly downloads from npm and PyPI registries, updated daily.
Start with signals
Downloads are a strong broad signal, but never the whole story. Open the latest Research Briefs and company pages before treating any leaderboard as a final verdict.
AI Infrastructure
Pydantic (Samuel Colvin)
1.2B downloads/moOpen the company page for package, GitHub, and other signals behind the brief-level story.
Foundation Models
OpenAI
483.9M downloads/moOpen the company page for package, GitHub, and other signals behind the brief-level story.
Developer Tools
LangChain
314.3M downloads/moOpen the company page for package, GitHub, and other signals behind the brief-level story.
Rankings use 30-day download totals from the npm registry and PyPI (via BigQuery). Trends compare the current 30-day window to the previous period. Downloads measure installs, not unique users - 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.
1.2B 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. Unlike download counts (which include CI/CD), 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.
