# abrignoni/ALEAPP

> Digital forensics tool that parses Android logs, events and protobuf files from extractions, helping investigators and security analysts examine device data.

- Magnitude: 1.6 out of 10 — Steady
- Stars: 971 total · +0 stars measured 2026-10-08, 10:59–11:54 UTC, ≈ 4 by evening
- Star trust: star growth looks organic
- Category: Security · Language: Python · License: MIT · Created: 2020-02-22 · Last push: 2026-10-08
- GitHub: https://github.com/abrignoni/ALEAPP · Page: https://gitnova.dev/en/r/abrignoni/ALEAPP

## Useful for

- Parse an Android extraction zip and generate an artifact report via CLI
- Open the GUI to review discovered artifacts without installing Python
- Write a custom artifact plugin to parse app-specific data

## Why it’s here

- Star-counter measurements on 2026-10-08 (UTC), 10:59–11:54: 971 → 971 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +4 stars, using observed gains and the previous day.
- GitHub Trending Python today: #5, +18 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 255
- Issues and pull requests: 1,683
- Watchers: 27
- Average over the last week: 4 per day
- Usual pace: 2 per day
- Stars in the last hour (measured): 0
- Latest release: v2026.4.3 (2026-10-02)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-09 … 2026-10-08: 1, 3, 2, 2, 4, 2, 4, 0, 0, 2, 3, 3, 3, 2, 2, 1, 0, 1, 2, 1, 1, 4, 1, 3, 0, 2, 3, 3, 15, 0

## Spotted in now

- GitHub Trending Python today: #5, +18 stars

## Similar by description

1. **mvt-project/mvt** — 1.4 · Cooling · Security · Python · +4 stars measured 2026-10-08, 00:09–11:55 UTC, ≈ 8 by evening
   A collection of mobile forensics utilities that gather and analyze traces of compromise on Android and iOS devices, matching them against public indicators of compromise (IOCs). Built by Amnesty International Security Lab for…
   Full card: https://gitnova.dev/en/r/mvt-project/mvt.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-08 12:00 UTC, updated every 30 minutes.