#pythonpackages

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

hashtag.org network · sponsored

Own #pythonpackages

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.

$5.00/ year · 14-character #name
Claim #pythonpackages — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
11
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 11
0
Avg reactions / post
Mastodon · last 11
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-15 12:01 UTC
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13
0
11-14
0
11-15

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

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-11-15 12:01 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-15 12:01 UTC

Everything below is measured over the latest 11 public posts (spanning ~24465 hours).

Top of the latest posts

  • PyOCI – Publish and install private Python packages using OCI/Docker registries https://github.com/AllexVeldman/pyoci #HackerNews #PyOCI #PythonPackages #OCI #DockerRegistry #OpenSource #SoftwareDevelopment

    Hacker News@h4ckernews@mastodon.social♥ 0↻ 02025-10-03 05:47 UTCView post →
  • Yet another coder contraption to save you from yourself: introducing #Pipask, the pip you never asked for. 🙄 Now you can ⛑️ "safely" install Python packages with all the convenience of a root canal. Because nothing says efficiency like mor

    N-gated Hacker News@ngate@mastodon.social♥ 0↻ 02025-05-03 14:26 UTCView post →
  • Key Points: ➡️ "pip show" command displays package metadata, including dependencies. ➡️ "pip freeze" lists all installed packages and their versions. ➡️ Check "requirements.txt" for project dependencies. ➡️ "pipdeptree" visualizes the depen

    WetHat💦@WetHat@fosstodon.org♥ 0↻ 12025-02-05 16:24 UTCView post →

#pythonpackages across platforms

every network with a public tag surface

Follow #pythonpackages 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/pythonpackages