#pyflakes

Live, measured metrics for the hashtag #pyflakes from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-09 10:41 UTC
0
11-03
0
11-04
0
11-05
0
11-06
0
11-07
0
11-08
0
11-09

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-11-09 10:41 UTC

No related tags with measured usage found for #pyflakes.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-09 10:41 UTC

Everything below is measured over the latest 2 public posts (spanning ~26477 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 0

Used together with

#python ×2#flake8 ×1

Top of the latest posts

  • Why does #pyflakes not flag this problem with an unreferenced object (`ext` instead of `self`)? ```python @property def has_german(self): word = ext.title_de.split()[1] if word.strip().lower() == 'press': return False else: return True ```

    Michael Aye@michaelaye♥ 0↻ 02023-09-08 10:34 UTCView post →

  • Yes! Upgrading to latest flake8 (implying latest pyflakes) and removing a bunch of # noqa from our codebase. github.com/PyCQA/pyflakes/pull… Fix false positive with partially quoted annotations What would happen was that we would have code

    clacke: exhausted pixie dream boy 🇸🇪🇭🇰💙💛@clacke@libranet.de♥ 0↻ 02020-08-31 06:01 UTCView post →

#pyflakes across platforms

every network with a public tag surface

Follow #pyflakes straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/pyflakes