#pydatalondon24

Live, measured metrics for the hashtag #pydatalondon24 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0.6/hr
Recent pace
Mastodon · last 4
2.3
Avg reactions / post
Mastodon · last 4
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-14 15:53 UTC
0
10-08
0
10-09
0
10-10
0
10-11
0
10-12
0
10-13
0
10-14

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.social (Mastodon public search API) · fetched 2026-10-14 15:53 UTC

No related tags with measured usage found for #pydatalondon24.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-14 15:53 UTC

Everything below is measured over the latest 4 public posts (spanning ~6.6 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 2.8

Top of the latest posts

  • @baconandcoconut @nafiul I think ~900 million is only downloads with pip, it's closer to 1.1 billion with all installers. And that's for yesterday, a Saturday. For last Wednesday it's 1.4 billion for pip and 1.6 billion for all installers.

    Hugo van Kemenade@hugovk♥ 8↻ 42024-06-16 18:17 UTCView post →

  • I mentioned our daily CPython downloads number (~300 million) during @nafiul 's talk. The current daily download count for PyPi is higher, around 900 million per day. #pydatalondon24 https://pypistats.org/packages/__all__

    baconandcoconut@[email protected]♥ 1↻ 72024-06-16 15:23 UTCView post →

  • Thanks London and #pydatalondon24 for a lovely visit!!

    baconandcoconut@[email protected]♥ 0↻ 02024-06-16 21:26 UTCView post →

#pydatalondon24 across platforms

every network with a public tag surface

Follow #pydatalondon24 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/pydatalondon24