# selfspy/selfspy

Log everything you do on the computer, for statistics, future reference and all-around fun!

Repository: https://github.com/selfspy/selfspy
Canonical: https://ross.abutalabs.com/products/selfspy
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2019-03-06T13:30:04+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5286, "days_push": 2737, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2495, forks 230 (observed 2026-08-28T04:06:56.674003+00:00)

## What it is
Selfspy is a Python daemon that continuously logs user activity on the computer—keystrokes, window titles, and clipboard content—storing it in a database for personal statistics. It is inspired by the Quantified Self movement and works on Linux/X11, macOS, and Windows.

## Use cases
- track everything I do on my computer for personal statistics
- quantified self activity logging
- log keystrokes and window usage for personal analytics
- remember what I was working on last week
- analyze my computer usage habits

## When to choose
- you want detailed local logging of your computer activity for self-analysis
- you are on Linux/X11, macOS, or Windows and comfortable with Python 2.7 tooling
- you want a self-hosted, privacy-conscious personal data logger

## When to avoid
- you need a maintained tool—last release was 2019 and it only supports Python 2.7
- you need modern OS support (Wayland, recent macOS security models)
- you are uncomfortable with keystroke logging on your machine

## Facets
- artifact type: application
- maturity: abandoned
- function: logging, analytics, monitoring, cli
- domain: developer-tools, analytics, privacy
- platform: windows, python, cli
- tags: quantified-self, keystroke-logging, activity-tracking, personal-analytics, python2, linux, macos

## Member repositories
- selfspy/selfspy (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:56.674003+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 2026-08-30T02:27:14.059674+00:00, confidence not recorded.
  - readme: https://github.com/selfspy/selfspy (fetched 2026-08-28T04:06:56.674003+00:00, sha d94996b74e56)
- Data as of 2026-08-30T08:39:29.467469+00:00.