Ross ROSS = Recommend OSS · open-source software intelligence for agents

karpathy/ulogme

Automatically collect and visualize usage statistics in Ubuntu/OSX environments. observed · 2026-08-28

github.com/karpathy/ulogme · Python observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4496
  • days_rel: n/a
  • days_push: 2176
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1173 stars · 207 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ulogme is a local activity tracker that records active window titles and keystroke frequencies throughout the day, then renders them as interactive HTML timelines using d3.js. All data stays on the machine, with a small Python web server serving the visualization UI.

Use cases

  • track how I spend time on my computer each day
  • visualize my productivity with timelines of active windows
  • count keystrokes per application over the day
  • see where my time went during the workday
  • self-hosted local activity logging without cloud upload
  • annotate my day with notes and review usage stats

When to choose

  • you use Ubuntu or OSX and want fully local, private activity tracking
  • you want customizable HTML/d3 visualizations of window titles and typing activity
  • you prefer simple timestamped log files you can inspect or post-process yourself

When to avoid

  • you use Windows or Wayland-based Linux desktops, which are unsupported
  • you need cross-device sync, cloud dashboards, or active maintenance
  • you need modern browser compatibility beyond ES6 Promises-era browsers

Facets

application · maturity maintenance

analytics data-visualization monitoring logging developer-tools analytics data-visualization python browser self-hosted time-tracking quantified-self keystroke-logging window-tracking local-only d3js linux macos

1 source

Member repositories

RepositoryRoleHealth v2
karpathy/ulogmemain32

For agents

markdown · JSON · MCP: product_card(name="karpathy/ulogme")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem