[Numpy-discussion] acknowledging sponsorship and institutional partners

Ralf Gommers ralf.gommers at gmail.com
Sat May 18 12:36:50 EDT 2019

Hi all,

In [1] I am adding institutional partners and sponsor logos to the numpy.org
website. Sebastian made some good comments there, and I think it would be
very helpful if we had some guidelines on how we acknowledge sponsorship.

Our governance doc has clear text on what an Institutional Partner is, see
[2]. We don't have anything written down about sponsorship though. In my
open PR I followed the example of Jupyter (see [3]), which lists
Institutional Partners first, followed by Sponsors.

For sponsors I think we will want to define some minimum level of
sponsorship for which we will put a logo somewhere (main page, or about
page). Jupyter seems to just put everything together. Scikit-learn and
NumFOCUS do the same on their front pages. NumFOCUS has tiered levels as
well with different benefits, and displays the tiers at [4]. Page 17 of the
NumFOCUS sponsorship brochure [5] spells out the sponsorship levels very
clearly: from platinum at $100k to bronze at $10k, and a special level for
"emerging leader" (startups) below that.

I think that following the NumFOCUS model would be the most straightforward
thing to do, because (a) we're part of NumFOCUS, and (b) it's very well
documented. And also fairest in a way - it gives some recognition
proportionally to the contribution. My PR right now lists Moore, Sloan and
Tidelift as the 3 sponsors. The first two contributed on the order of $500k
each (spread out over 2-3 years), while Tidelift currently contributes

So I propose:
- acknowledging all active sponsorship (within the last 12 months) by logo
placement on numpy.org
- acknowledging past sponsorship as well on numpy.org, but on a separate
page and perhaps just as a listing rather than prominent logo placement
- adopting the NumFOCUS tiered sponsorship model
- listing institutional partners and sponsors in the same place, with
partners first (following what Jupyter does).



[1] https://github.com/numpy/numpy.org/pull/21
[3] https://jupyter.org/about
[4] https://numfocus.org/sponsors
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