# oreillymedia/open_government

Open Government, released as part of #PDFtribute

Repository: https://github.com/oreillymedia/open_government
Canonical: https://ross.abutalabs.com/products/open_government
License: NOASSERTION
License Family: other
Last push: 2013-01-25T00:01:29+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": 4977, "days_push": 4969, "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 1295, forks 204 (observed 2026-08-28T04:04:16.515825+00:00)

## What it is
A free online edition of the 2010 O'Reilly book 'Open Government', released in honor of Aaron Swartz as part of #PDFtribute. It is a collection of essays on government transparency, openness, and access to public information.

## Use cases
- read a free book on open government and transparency
- learn about government data openness initiatives
- study essays on civic technology and public information access
- find Aaron Swartz's chapter on when transparency is useful
- research the open government movement around 2010

## When to choose
- you want a free, authoritative collection of essays on government openness
- you're researching open data policy or civic tech history
- you want to honor or study Aaron Swartz's work

## When to avoid
- you need current, up-to-date analysis of open government policy
- you're looking for software or tools rather than a book
- you need a license permitting redistribution beyond reading

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, pdf
- domain: e-government, education
- platform: cross-platform
- tags: book, free-ebook, government-transparency, open-data, aaron-swartz, oreilly, open-source

## Member repositories
- oreillymedia/open_government (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:16.515825+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 2026-08-30T04:54:01.843802+00:00, confidence not recorded.
  - readme: https://github.com/oreillymedia/open_government (fetched 2026-08-28T04:04:16.515825+00:00, sha 64f1df45cc26)
- Data as of 2026-08-30T08:39:29.467469+00:00.