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talk

Data Driven Decisions Using PyPI Statistics(en)

Speakers

Paul Kehrer

Audience level:

Novice

Category:

Best Practices/Patterns

Description

Open source library developers have an analytics problem. What platform do my users run on? How many users do I have? Is it okay to drop support for something? How do you answer questions like this when people are embedding your software as a component of their own product? Fortunately, PyPI has a little-known service that you can leverage to answer questions like these. Learn how to harness it!

Objectives

Attendees will learn to use PyPI's statistics database to look up information relevant to their library and make informed decisions.

Abstract

Open source library developers have an analytics problem. What platform do my users run on? How many users do I have? Is it okay to drop support for something? How do you answer questions like this when people are embedding your software as a component of their own product? Fortunately, PyPI has a little-known service that you can leverage to answer questions like these. We'll walk through setting up your computer to access the BigQuery statistics, check out a variety of queries, and discuss some limitations.
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