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usage stats¶

Legacy Wiki Page

This page was migrated from the old MoinMoin-based wiki. Information may be outdated or no longer applicable. For current documentation, see python.org.

“A page for ideas on gathering statistics about how Python is used.”

The motivation is to help during discussions about Python where a consensus isn’t available. Anecdotes usually fall short in that case.

Ideally, we’d be able to break data down into various groupings, and consider both totals and percentages.

Data Groupings¶

  • new development vs. stable code-bases

  • categories (web, scripts, “big data”, computation, etc.)

  • “bare metal” vs. on top of some framework

  • regional usage

Solutions for Gathering Usage Statistics¶

  • data from PyPI (a.k.a. the cheeseshop)

  • search results (incl. google, code search sites)

Usage Categories¶

An unsubstantiated of how Python is used:

Heavy¶

  • web applications

  • scripting and tooling

  • high-performance computation

  • testing (non-Python/embedded/whatever code)

Medium¶

Light¶

  • games

Other thoughts¶

  • Data from PyPI or google will likely not include closed-source usage.

This topic is the subject of threads on python-list:

  • http://mail.python.org/pipermail/python-list/2012-February/1287866.html

  • http://mail.python.org/pipermail/python-list/2012-February/1287998.html

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