#pymupdf
Live, measured metrics for the hashtag #pymupdf from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #pymupdf
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-09-25 18:56 UTC0 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 2026-09-25 18:56 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-25 18:56 UTCEverything below is measured over the latest 33 public posts (spanning ~27383 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (22) · Japanese (4) · Portuguese (3) · Russian (2) · French (1) · German (1)
Avg boosts / post: 5.3
Top of the latest posts
Censor, a new document redaction tool, is there! It allows to draw black rectangles on PDF documents and to permanently remove the text and images below. Find it on @Codeberg: https://codeberg.org/censor/Censor, get it from @flathub: https:
Ever felt the need to convert a #PDF into a fixed-layout #EPUB that preserves the table of contents, internal cross-references and hyperlinks? Finding no out-of-the-box solution, I've developed one myself using #Python and the #PyMuPDF libr
“Zoom in, zoom out, redact your points!” #Censor v0.7.0 ships improved zooming with pinch-to-zoom gesture on touchpads and touchscreens and various security bug fixes. Find it at @flathub: https://flathub.org/apps/page.codeberg.censor.Censo
#pymupdf across platforms
every network with a public tag surfaceFollow #pymupdf 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/pymupdf