# DP-3T/documents

Decentralized Privacy-Preserving Proximity Tracing -- Documents

Repository: https://github.com/DP-3T/documents
Canonical: https://ross.abutalabs.com/products/documents
Language: Shell
License Family: other
Last push: 2022-08-22T08:10:27+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": 2343, "days_push": 1472, "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 2241, forks 175 (observed 2026-08-28T04:06:29.797940+00:00)

## What it is
A documentation repository for DP-3T, a decentralized privacy-preserving proximity tracing protocol designed to slow the spread of SARS-CoV-2. It contains the white paper, data protection analysis, and simplified protocol briefs produced by an international consortium of academic researchers.

## Use cases
- understand how decentralized contact tracing protocols work
- review the privacy and security analysis of proximity tracing systems
- research the design behind Switzerland's contact tracing app
- cite a peer-reviewed-style specification for exposure notification
- compare centralized vs decentralized tracing approaches
- study the cryptographic design of ephemeral Bluetooth identifiers

## When to choose
- you need the authoritative DP-3T protocol specification and design rationale
- you are evaluating privacy guarantees of exposure notification systems
- you want background reading before implementing a DP-3T-compatible app

## When to avoid
- you need runnable code - use the separate DP-3T iOS, Android, and backend implementation repos
- you need a maintained production contact tracing system
- you want a general-purpose Bluetooth proximity library

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, security, privacy, cryptography
- domain: privacy, healthcare, security, documentation
- platform: cross-platform
- tags: contact-tracing, covid-19, proximity-tracing, specification, white-paper, dp3t

## Member repositories
- DP-3T/documents (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:29.797940+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 2026-08-30T02:44:05.379534+00:00, confidence not recorded.
  - readme: https://github.com/DP-3T/documents (fetched 2026-08-28T04:06:29.797940+00:00, sha da163b7a79d9)
- Data as of 2026-08-30T08:39:29.467469+00:00.