Datadory notebook

How Market Researchers Use Systems Software Data

Market researchers use systems software data to size developer ecosystems, benchmark OS and platform share, track language momentum and quantify hardware install bases. Twenty-one of the 24 primary datasets Datadory catalogs for this industry are free, anchored by npm's ~4.3 million packages, PyPI's 877,215 projects and StatCounter's OS share series reaching back to January 2009.

1,744 datasets. Pick your catch.

How do market researchers actually use systems software data?

The engagement usually opens with a scoping question - how large is the Python developer base a client wants to sell into, has the Windows 11 migration curve crested, what share of gaming PCs can run a given workload - and the evidence base that answers it is published by the infrastructure's own operators rather than by panel vendors. Package registries, platform telemetry services and browser-measurement firms expose their counters directly, so a researcher can script the numbers instead of buying an estimate.

The systems software data for market researchers page ranks every record against market-research workflows; the three strongest fits are StatCounter's OS series, the Stack Overflow survey microdata and GitHut's language statistics.

What do survey microdata and language rankings add that registries cannot?

Registries show behavior; surveys show who the behavior belongs to. The Stack Overflow Annual Developer Survey releases per-respondent CSVs for every edition from 2011 through 2025 - 65,437 respondents across 185 countries and 114 columns for 2024 alone, about 160 MB - under commercial delivery terms 1.0 with contents under DbCL 1.0. Published methodology and raw microdata let a research team run its own crosstabs on salary, tooling and demographics instead of quoting a vendor's chart.

No single series settles a language-trend claim - each measures a different population (pull requests, search interest, search-engine results) - so decks should name the metric on the slide, not just the source.

How do you size hardware install bases and compute capacity?

Hardware questions need fleet-scale operational data, and two sources provide it free. The Backblaze Hard Drive Test Data (Drive Stats Raw Dataset) publishes daily per-drive SMART telemetry for roughly 341,000 active drives - about 530 million cumulative drive-days since April 2013 - as quarterly ZIP archives of about 1.3 GB compressed (roughly 91 daily CSVs, ~12 GB uncompressed), plus an Apache Iceberg table that makes failure rates by drive model queryable over S3 under attribution-only terms.

The TOP500 Supercomputer Lists and Statistics ships machine-readable XML and Excel for every edition since June 1993 - 500 systems per list, roughly 33,000 system records overall - covering vendors, countries, interconnects and OS families, with Green500 efficiency rankings extending the series from June 2013 and HPCG results from November 2017. Vendor and country shares across ~66 editions give HPC market studies their structural baseline.

Trade and channel data close the loop. The OEC Hard Disk Drives Trade Profile values global hard-disk-drive trade at $60.2 billion for 2024 with roughly 180 exporter rows per year, and the U.S. Census Bureau Data API (CBP / Economic Census / Wholesale Trade) - 1,798 datasets in the catalog, commercial delivery terms - contributes CBP 2023 county-business patterns down to millions of NAICS-by-geography rows for reseller and IT-services channel sizing.

Which datasets make the ranked shortlist for market researchers?

The table consolidates the shortlist.

Pick up where this leaves off

Every one of these ships with sample rows before you commit to anything.

Systems Software Global - the whole JavaScript and Node.js ecosystem in one…

npm Public Registry API

Systems Software Global - the entire Python package ecosystem, with no…

PyPI - Python Package Index API and Stats

Systems Software Global - the entire Rust package ecosystem, with no geographic…

crates.io - Rust Package Registry API

Systems Software Global - developer participation reported by country in each…

GitHub Octoverse and GitHub REST/GraphQL API

Systems Software Global open-source ecosystem across seven package registries

deps.dev - Open Source Insights API

publishedAt · isDefault · isDeprecated …+5 more

Systems Software Worldwide plus six regions (Africa

StatCounter OS Market Share

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Questions worth asking

Can market researchers reuse Stack Overflow survey data in client work?

Yes, with share-alike obligations. The Annual Developer Survey releases per-respondent CSVs for every edition from 2011 through 2025 - 65,437 respondents across 185 countries and 114 columns for 2024 - cataloged by Datadory.0 with contents under DbCL 1.0 and user contributions under commercial delivery terms-SA 4.0, so attribution and share-alike apply to derived databases.