#pydatalondon

Live, measured metrics for the hashtag #pydatalondon 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
28
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 28
0.6
Avg reactions / post
Mastodon · last 28
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-11 02:49 UTC
0
10-05
0
10-06
0
10-07
0
10-08
0
10-09
0
10-10
0
10-11

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 2026-10-11 02:49 UTC

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-11 02:49 UTC

Everything below is measured over the latest 28 public posts (spanning ~31562 hours).

Top of the latest posts

  • Calling it, @explosion have won my personal #PyDataLondon best sticker competition. *And* @ines gave an awesome talk on #Spacy and #LLMs, so I can go home happy!

    AndreasThinks@[email protected]♥ 6↻ 22023-06-03 12:42 UTCView post →
  • Here are the slides for my #PyDataLondon keynote on LLMs from prototype to production ✨ Including: ◾ visions for NLP in the age of LLMS ◾ a case for LLM pragmatism ◾ solutions for structured data ◾ spaCy LLM + https://prodi.gy https://speak

    Ines Montani@[email protected]♥ 6↻ 132023-06-03 09:45 UTCView post →
  • And that’s a wrap on PyData London 2026! A highlight for us was watching Neal Richardson take the stage for his talk, "MCP, or not MCP", which gave everyone a peek into the Model Context Protocol and the exciting things we're working on at

    Posit@[email protected]♥ 1↻ 12026-06-11 14:44 UTCView post →

#pydatalondon across platforms

every network with a public tag surface

Follow #pydatalondon 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.

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/pydatalondon