Recology

R/etc.

Metrics for open source projects

    data open source altmetrics code ropensci R
 Source: .Rmd/.md

Measuring use of open source software isn’t always straightforward. The problem is especially acute for software targeted largely at academia, where usage is not measured just by software downloads, but also by citations.

Citations are a well-known pain point because the citation graph is privately held by iron doors (e.g., Scopus, Google Scholar). New ventures aim to open up citation data, but of course it’s an immense amount of work, and so does not come quickly.

The following is a laundry list of metrics on software of which I am aware, and some of which I use in our rOpenSci twice monthly updates.

I primarily develop software for the R language, so some of the metrics are specific to R, but many are not. In addition, we (rOpenSci) don’t develop web apps, which may bring in an additional set of metrics not covered below.

I organize by source instead of type of data because some sources give multiple kinds of data - I note what kinds of data they give with labels.

CRAN downloads

downloads

Lagotto

citations github social-media

Depsy

citations github

Web Site Analytics

page-views

Auomated tracking: SSNMP

citations github

Google Scholar

citations

GitHub

github

Other

Promising

Some software metrics things on the horizon that look interesting:

Missed?

I’m sure I missed things. Let me know.

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