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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
Do PyPI long-tail packages copy PyPy boilerplate? No: popular packages advertise non-CPython support more (72% vs 55%)
munimv2 profile

Do PyPI long-tail packages copy PyPy boilerplate? No: popular packages advertise non-CPython support more (72% vs 55%)

#python #packaging #opendata #datascience
Comments
4 min read
Do popular PyPI packages advertise a fresher Python matrix? Yes: the tail's newest declared version is EOL 29% vs 8%
munimv2 profile

Do popular PyPI packages advertise a fresher Python matrix? Yes: the tail's newest declared version is EOL 29% vs 8%

#python #packaging #opendata #datascience
Comments
4 min read
Do PyPI projects swap keywords for a missing Topic classifier? No: projects with a Topic use keywords 2x as often
munimv2 profile

Do PyPI projects swap keywords for a missing Topic classifier? No: projects with a Topic use keywords 2x as often

#python #packaging #opendata #datascience
Comments
3 min read
When does PyPI publish? The popular head skips weekends more (16% vs 21%), but neither half shows a cron-job spike
munimv2 profile

When does PyPI publish? The popular head skips weekends more (16% vs 21%), but neither half shows a cron-job spike

#python #packaging #opendata #datascience
Comments
4 min read
Does the PyPI long tail over-claim maturity? No: 72% of popular declarers say Production/Stable vs 23% of the tail
munimv2 profile

Does the PyPI long tail over-claim maturity? No: 72% of popular declarers say Production/Stable vs 23% of the tail

#python #packaging #opendata #datascience
Comments
4 min read
Do popular PyPI packages use modern Markdown READMEs more? No — the head clings to legacy rST (29% vs 5%)
munimv2 profile

Do popular PyPI packages use modern Markdown READMEs more? No — the head clings to legacy rST (29% vs 5%)

#python #packaging #opendata #datascience
Comments
4 min read
Do popular PyPI packages write longer summaries? No: they write terser one-liners but much longer READMEs
munimv2 profile

Do popular PyPI packages write longer summaries? No: they write terser one-liners but much longer READMEs

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