# bytedance/godlp

sensitive information protection toolkit

Repository: https://github.com/bytedance/godlp
Canonical: https://ross.abutalabs.com/products/godlp
Language: Go
License: MIT
License Family: permissive
Archived: true
Last push: 2023-08-22T10:28:38+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1757, "days_push": 1107, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1038, forks 167 (observed 2026-08-28T04:03:19.782631+00:00)

## What it is
godlp is a Go library from ByteDance for sensitive data discovery and de-identification (data loss prevention). It detects sensitive information in strings, JSON, KV maps, and structs, then masks it according to configurable YAML rules supporting multiple privacy compliance standards.

## Use cases
- detect pii in json payloads
- mask sensitive data in application logs
- scan structured and unstructured data for sensitive information
- apply privacy compliance classification to datasets
- redact personal data before sharing or storing
- configure custom sensitive data detection rules in yaml

## When to choose
- you need DLP capabilities embedded in a Go application
- you must detect and mask PII across strings, JSON, maps, and structs
- you need configurable, rule-based sensitive data handling for compliance

## When to avoid
- you need a standalone DLP scanner for files or databases rather than an SDK
- your stack is not Go
- you need actively developed features - the latest release is from 2023

## Facets
- artifact type: library
- maturity: maintenance
- function: security, privacy, nlp, configuration-management, logging
- domain: security, privacy, data-science, developer-tools
- platform: go, cross-platform, cli
- tags: dlp, data-loss-prevention, sensitive-data-detection, data-masking, de-identification, privacy-compliance, pii

## Member repositories
- bytedance/godlp (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:19.782631+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 2026-08-30T07:04:14.723750+00:00, confidence not recorded.
  - readme: https://github.com/bytedance/godlp (fetched 2026-08-28T04:03:19.782631+00:00, sha a83003d55192)
- Data as of 2026-08-30T08:39:29.467469+00:00.