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

karpathy/jobs

A research tool for visually exploring Bureau of Labor Statistics Occupational Outlook Handbook data. This is not a report, a paper, or a serious economic publication — it is a development tool for exploring BLS data visually. observed · 2026-08-28

github.com/karpathy/jobs · HTML observed · 2026-08-28

Health v2 · maintenance only

47/100

  • Activity 72
  • Release rhythm 35
  • Longevity 12

Flags: no_releases young 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: 172
  • days_rel: n/a
  • days_push: 170
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1989 stars · 375 forks observed · 2026-08-28

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

A research tool that scrapes the Bureau of Labor Statistics Occupational Outlook Handbook (342 occupations) and renders an interactive treemap where rectangle area is employment and color encodes metrics like pay, growth outlook, education, and LLM-scored AI exposure. It includes a full Python pipeline (scrape, parse, tabulate, LLM-score, build site data) plus an HTML/JS frontend.

Use cases

  • visually explore US labor market data by occupation
  • see which jobs have high AI exposure
  • compare median pay and education requirements across occupations
  • run custom LLM prompts to score occupations on any criteria
  • scrape and parse BLS Occupational Outlook Handbook pages into structured data
  • build a treemap visualization from employment statistics

When to choose

  • you want an interactive visual overview of BLS occupation data
  • you want to experiment with LLM-based scoring of occupations using custom prompts
  • you need a ready-made scraping and parsing pipeline for the BLS OOH
  • you want a starting point for exploring labor-market questions like automation or offshoring risk

When to avoid

  • you need rigorous, peer-reviewed economic analysis or predictions
  • you need a maintained product with a license or support guarantees
  • you need non-US labor data or sources other than the BLS OOH
  • you need production-grade data pipelines with error handling and scheduling

Facets

application · maturity active

data-visualization web-scraping parser llm-inference etl charts data-visualization data-science analytics large-language-models developer-tools education python browser cross-platform treemap bls-data labor-statistics occupations ai-exposure scraping-pipeline llm-scoring interactive-visualization web

1 source

Member repositories

RepositoryRoleHealth v2
karpathy/jobsmain47

For agents

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

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