# ostafen/digler

Digler is a tool for forensic disk analysis and file recovery. It's designed to help you unearth lost or deleted data from various disk images and raw devices.

Repository: https://github.com/ostafen/digler
Canonical: https://ross.abutalabs.com/products/digler
Language: Go
License: MIT
License Family: permissive
Topics: cli-tool, data-recovery, deleted-file-recovery, dfxml, digital-forensics, disk-analysis, disk-image, file-carving, filesystem-analysis, golang, photo-recovery, plugin-architecture, desktop-app
Last push: 2026-08-14T11:34:02+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 40, longevity 51
- inputs: {"age_days": 718, "days_push": 19, "days_rel": 431, "gap_med": 3, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1445, forks 90 (observed 2026-08-28T04:04:45.160770+00:00)

## What it is
Digler is a forensic disk analysis and file recovery tool written in Go, offering both a CLI and a desktop application. It scans disk images or raw devices to carve out lost or deleted files regardless of filesystem, and reports findings in DFXML format.

## Use cases
- recover deleted files from a disk image
- carve photos from a raw device
- analyze a .dd image for lost data
- generate DFXML forensic reports of recovered files
- recover files without relying on filesystem metadata
- extend file carving with custom scanner plugins

## When to choose
- you need filesystem-agnostic recovery from disk images or raw devices
- you want a scriptable CLI plus an optional desktop GUI
- you need DFXML-compliant forensic reporting
- you want a lightweight, extensible alternative to heavyweight forensic suites

## When to avoid
- you need a mature, battle-tested tool for production forensics (project is in early development)
- you need deep filesystem-level analysis rather than carving
- you require formal forensic validation or court-admissible tooling guarantees

## Facets
- artifact type: cli-tool
- maturity: experimental
- function: file-system, parser, developer-tools
- domain: security, files
- platform: windows, cli, go
- tags: data-recovery, file-carving, digital-forensics, disk-analysis, dfxml, deleted-file-recovery, plugin-architecture, forensics, linux, macos, desktop

## Member repositories
- ostafen/digler (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:45.160770+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 2026-08-30T04:36:14.605448+00:00, confidence not recorded.
  - readme: https://github.com/ostafen/digler (fetched 2026-08-28T04:04:45.160770+00:00, sha 8474f420ad36)
- Data as of 2026-08-30T08:39:29.467469+00:00.