# karpathy/ulogme

Automatically collect and visualize usage statistics in Ubuntu/OSX environments.

Repository: https://github.com/karpathy/ulogme
Canonical: https://ross.abutalabs.com/products/ulogme
Language: Python
License Family: other
Last push: 2020-09-17T23:08:59+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4496, "days_push": 2176, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1173, forks 207 (observed 2026-08-28T04:03:51.823310+00:00)

## What it is
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
- artifact type: application
- maturity: maintenance
- function: analytics, data-visualization, monitoring, logging
- domain: developer-tools, analytics, data-visualization
- platform: python, browser, self-hosted
- tags: time-tracking, quantified-self, keystroke-logging, window-tracking, local-only, d3js, linux, macos

## Member repositories
- karpathy/ulogme (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:51.823310+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:28:23.166496+00:00, confidence not recorded.
  - readme: https://github.com/karpathy/ulogme (fetched 2026-08-28T04:03:51.823310+00:00, sha 5e031639280e)
- Data as of 2026-08-30T08:39:29.467469+00:00.