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The design of product packaging and physical presentation

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Packaging and Distributing GUI Applications on Linux: Best Practices and Solutions
serbyte profile

Packaging and Distributing GUI Applications on Linux: Best Practices and Solutions

#linux #packaging #gui #flatpak
Comments
12 min read
I pre-registered 28 guesses that popular PyPI packages have cleaner metadata. Only 9 held. Open dataset.
munimv2 profile

I pre-registered 28 guesses that popular PyPI packages have cleaner metadata. Only 9 held. Open dataset.

#python #packaging #opendata #datascience
Comments
3 min read
PyPI: 72% of popular packages' dependency lines are optional extras, yet they carry fewer required deps than the long tail
munimv2 profile

PyPI: 72% of popular packages' dependency lines are optional extras, yet they carry fewer required deps than the long tail

#python #packaging #opendata #datascience
Comments
4 min read
PyPI naming hygiene reversed: popular packages write dependency names more canonically than the long tail (4.8% vs 5.9%)
munimv2 profile

PyPI naming hygiene reversed: popular packages write dependency names more canonically than the long tail (4.8% vs 5.9%)

#python #packaging #opendata #datascience
Comments
4 min read
Replicating a PyPI dependency-pinning number: the published 29% exact-pin share drops to 9-17% on fresh latest-release data
munimv2 profile

Replicating a PyPI dependency-pinning number: the published 29% exact-pin share drops to 9-17% on fresh latest-release data

#python #packaging #opendata #datascience
Comments
5 min read
PyPI environment markers: popular packages gate deps on python_version and platform 5.6x more than the long tail (30% vs 5%)
munimv2 profile

PyPI environment markers: popular packages gate deps on python_version and platform 5.6x more than the long tail (30% vs 5%)

#python #packaging #opendata #datascience
Comments
4 min read
PyPI keyword strings: popular packages use commas and phrases more, yet the long tail is more parse-ambiguous (41% vs 38%)
munimv2 profile

PyPI keyword strings: popular packages use commas and phrases more, yet the long tail is more parse-ambiguous (41% vs 38%)

#python #packaging #opendata #datascience
Comments
4 min read
Popular PyPI packages declare keywords more often (49% vs 38%) but list fewer of them (median 4 vs 5)
munimv2 profile

Popular PyPI packages declare keywords more often (49% vs 38%) but list fewer of them (median 4 vs 5)

#python #packaging #opendata #datascience
Comments
4 min read
Do popular PyPI packages declare themselves typed more? Yes, 1.8x — but the 'Typing :: Typed' label undercounts real typing
munimv2 profile

Do popular PyPI packages declare themselves typed more? Yes, 1.8x — but the 'Typing :: Typed' label undercounts real typing

#python #packaging #opendata #datascience
Comments
3 min read
PyPI's JSON API invents a project_urls 'Homepage' from the legacy Home-page field — it can't measure PEP 753 migration
munimv2 profile

PyPI's JSON API invents a project_urls 'Homepage' from the legacy Home-page field — it can't measure PEP 753 migration

#python #packaging #opendata #datascience
Comments
4 min read
Do popular PyPI packages flag non-English languages more? No — the long tail does (7.7% vs 2.4% of declarers)
munimv2 profile

Do popular PyPI packages flag non-English languages more? No — the long tail does (7.7% vs 2.4% of declarers)

#python #packaging #opendata #datascience
Comments
3 min read
Do popular PyPI packages rely on 'OS Independent'? No — the long tail does (81% vs 72%); the head names real platforms
munimv2 profile

Do popular PyPI packages rely on 'OS Independent'? No — the long tail does (81% vs 72%); the head names real platforms

#python #packaging #opendata #datascience
Comments
3 min read
Are popular PyPI packages for a broader audience? No — 97% of head declarers tag 'Developers' (vs 85%), same 13-of-14 span
munimv2 profile

Are popular PyPI packages for a broader audience? No — 97% of head declarers tag 'Developers' (vs 85%), same 13-of-14 span

#python #packaging #opendata #datascience
Comments
4 min read
Do popular PyPI packages choose deeper Topic paths? Barely (3.29 vs 3.25) — and the extra depth is template boilerplate
munimv2 profile

Do popular PyPI packages choose deeper Topic paths? Barely (3.29 vs 3.25) — and the extra depth is template boilerplate

#python #packaging #opendata #datascience
Comments
4 min read
Does the popular PyPI head pile into one framework? No — the long tail is more concentrated (29% vs 21%), driven by Odoo
munimv2 profile

Does the popular PyPI head pile into one framework? No — the long tail is more concentrated (29% vs 21%), driven by Odoo

#python #packaging #opendata #datascience
Comments
4 min read
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