Home / Alternatives to AppSweeper-Lite Apps Like AppSweeper-Lite for iPhone and iPad
by 育靖 邬 ★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
AppSweeper-Lite screenshots Ranked alternatives Showing 381–400 of 1,000 ranked alternatives.
Nicolas Kick
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Calin Culianu
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-13
Niel Deckx
★ 4.0 1 ratings Utilities Free Data updated 2026-09-06
Sudip Bag
★ 0.0 0 ratings Utilities $0.99 Data updated 2026-09-10
SANG H SUNG
★ 0.0 0 ratings Utilities $3.99 Data updated 2026-09-08
坤 刘
★ 0.0 0 ratings Productivity Free Data updated 2026-09-10
Guilin zero and one software co. LTD
★ 4.5 2 ratings Utilities Free Data updated 2026-09-06
Vaghela Ravi
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
栋 陈
Clean up files and boost startup speed
Clean Up identifies and removes unnecessary files like caches, trashes, iService data, and large files. Startup Boost optimizes system performance by managing startup items. Duplicate File Finder locates and deletes duplicate files.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
永康 李
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
zheng dai
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Securemetric Technology Sdn. Bhd.
★ 5.0 1 ratings Business Free Data updated 2026-09-10
Hangzhou Ultimate Networks Technology Co., Ltd.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Hangzhou Ultimate Networks Technology Co., Ltd.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Zhongshan Gaoping Technology Co.,Ltd.
★ 0.0 0 ratings Utilities $18.99 Data updated 2026-09-10
向伟 陈
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Digital Heaven Ltd
★ 0.0 0 ratings Utilities $9.99 Data updated 2026-09-09
方成 印
★ 0.0 0 ratings Productivity $2.99 Data updated 2026-09-08
坤 刘
★ 0.0 0 ratings Productivity Free Data updated 2026-09-11
Beijing Dante Technology Co., Ltd.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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