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Stars gained: From May 24, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 24, 2026 to Nov 14, 2026, each from zero0250500May 24Nov 14, 2026cfig/Android_boot_image_editorsepinf-inc/IPEDSunzxyong/Recovery
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K3KMay 8Nov 14, 2026cfig/Android_boot_image_editorsepinf-inc/IPEDSunzxyong/Recovery

Facts

Fact cfig/Android_boot_image_editor

Parsing and re-packing Android boot.img/vbmeta.img/payload.bin, supporting Android 16

sepinf-inc/IPED

IPED Digital Forensic Tool. It is an open source software that can be used to process and analyze digital evidence, often seized at crime scenes by law enforcement or in a corporate investigation by private examiners.

Sunzxyong/Recovery

a crash recovery framework.(一个App异常恢复框架)

Stars 1,3353,0991,692
Net stars, last 30 days +7+62+2
Largest star day +3 on Aug 23, 2026+90 on Sep 11, 2026+1 on May 24, 2026
Milestone reached in the record NoneNoneNone
Forks 299531218
Language JavaJavaJava
License APACHE-2.0Other licenseAPACHE-2.0
Created Apr 14, 2016Jun 12, 2015Sep 4, 2016
Last push Aug 6, 2026Nov 13, 2026Feb 17, 2019
Archived NoNoNo
Health facts: Maintenance 1 of 4 checks (2 without data)2 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (1 without data)2 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo dataNo data
Weeks with commits, last 52 No dataNo dataNo data
In the Repository Index since Nov 13, 2026Nov 11, 2026Nov 12, 2026

Topics that all of them have on the Repository Host: recovery. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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