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#packaging

The design of product packaging and physical presentation

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

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

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12 min read
uv vs pip vs Poetry: Which Python Package Manager

uv vs pip vs Poetry: Which Python Package Manager

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3 min read
How to Choose Child-Resistant Packaging for Concentrates

How to Choose Child-Resistant Packaging for Concentrates

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3 min read
readmeta v0.2: --fix rewrites your broken PyPI README links at build time

readmeta v0.2: --fix rewrites your broken PyPI README links at build time

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2 min read
The bill for fifty-one modules

The bill for fifty-one modules

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5 min read
I graded every package for how badly it wants to leave

I graded every package for how badly it wants to leave

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

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

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

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

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

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

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

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

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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%)

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

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

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

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

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

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

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

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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

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

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4 min read
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