#mkdocstrings
Live, measured metrics for the hashtag #mkdocstrings from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mkdocstrings
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 11:13 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 11:13 UTCNo related tags with measured usage found for #mkdocstrings.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:13 UTCEverything below is measured over the latest 40 public posts (spanning ~16485 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (40)
Avg boosts / post: 0.4
Top of the latest posts
New Insiders feature coming soon in #mkdocstrings: automatic backlinks! Amazing experience combined with Material for MkDocs instant previews 🚀 Example in Pydantic's docs:
New feature in the #Python handler of #mkdocstrings: class inheritance diagrams with Mermaid 🎩 - docs: https://mkdocstrings.github.io/python/usage/configuration/general/#show_inheritance_diagram - live example: https://mkdocstrings.github.
I'm really close to releasing the backlinks feature of mkdocs-autorefs/mkdocstrings. I'm just working on merging this performance optimization in Python-Markdown first, because otherwise build time can increase a lot: https://github.com/Pyt
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/mkdocstrings