npm package trend data for AI assistants

Track weekly download counts for any npm package. Package download trends reveal which JavaScript libraries and frameworks developers are adopting, which are losing ground, and where the ecosystem is heading.

Tools for this workflow

`get_trends`

Chart the full 5-year weekly download history for any npm package - see adoption ramp, plateau, and whether growth is accelerating or flattening in the developer community.

get_trends(keyword='react', source='npm', data_mode='weekly')

`get_growth`

Compare npm download growth for competing packages side by side - which framework is winning developer mindshare over the last year?

get_growth(keyword='react', source='npm', percent_growth=['3M', '1Y'])

`get_ranked_trends`

Find the fastest-growing npm packages by weekly download growth - useful for spotting emerging libraries before they become default choices in the ecosystem.

get_ranked_trends(source='npm', sort='yoy_pct_change', limit=30)

`get_top_trends`

See what is trending in Google News and Reddit right now for developer and technology topics - surfaces the libraries, frameworks, and tools gaining mainstream developer attention.

get_top_trends(type='Reddit Hot Posts', limit=20)

FAQ

Common questions

What npm data does Trends MCP return?

Weekly download counts for any npm package, normalized to a 0-100 scale, plus raw download volume, growth rates over standard periods (7D, 1M, 3M, 1Y), and a historical time series going back up to 5 years.

How do I query a specific package?

Use the exact npm package name - for example 'react', 'lodash', 'express', or '@anthropic-ai/sdk'. Scoped packages use the @org/package format.

Can I compare multiple packages?

Yes. Use get_growth with comma-separated package names or call get_trends for each package and compare the normalized series. Useful for framework comparisons like React vs Vue vs Svelte.

Why is npm data useful for investment research?

npm download trends are a leading indicator of developer ecosystem adoption. A library growing fast in downloads often precedes broader commercial adoption of the underlying platform or framework.

How is npm download data normalized?

Raw weekly download counts are normalized to a 0-100 scale relative to the package's own historical peak. This makes it possible to compare adoption velocity across packages with very different absolute download volumes.

get_trends

get_growth

get_ranked_trends

get_top_trends

Common questions

Start building with live trend data

`get_trends`

`get_growth`

`get_ranked_trends`

`get_top_trends`