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Home/Apps/Bilibili Manga Watermark Remover

Bilibili Manga Watermark Remover

by lanyeeee

macOSrustv0.10.0
Available onDirect DownloadGitHub
Runtime
rust
Size
7 MB
Architecture
Apple Silicon
Dependencies
70
15 categories
Security
Basic
Minimal signing

Bilibili Manga Watermark Remover is a rust app (v0.10.0) that uses 70 detected dependencies across 15 categories including File System, UI Framework, Media. It is code-signed. 7 MB on macOS (Apple Silicon). Last verified June 2026.

What is Bilibili Manga Watermark Remover built with?

70 detected dependencies across 15 categories.

File System

3
cfbglobwalkdir

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UI Framework

4
dpirfdmudawindow-vibrancy

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Media

5
gifpng (Rust)image (Rust)zune-imagecolor_quant

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I/O

2
miobytes

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Data Structure

4
phftinyvecsmallvecalloc-stdlib

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Desktop Framework

1
Tauri

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Networking

1
url (Rust)

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Encoding

4
idnamimeencoding_rspercent-encoding

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Platform Binding

6
objccocoa (Rust)objc_iddispatch (Rust)objc_exceptionobjc-foundation

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Utility

6
openstateanyhowsemveronce_celllazy_static

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Async Runtime

6
RayonTokioparking_lotfutures-rsshared_childcrossbeam

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Parser

3
regex (Rust)memchraho-corasick

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Serialization

2
serdeserialize-to-javascript

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Compression

3
weezlflate2Brotli

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Other

3
showfilejpeg-encoderunicode-bidi

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Dot shows detection confidence; hover a technology for its evidence source. Higher confidence means a stronger extraction signal (e.g. a manifest entry vs. a binary string match).

Analyzed binary

SHA-256 of the exact binary Bilibili Manga Watermark Remover was analyzed from.

No signal

No signal — this field was not captured in the extraction on record. It is populated on re-extraction, not absent from the app.

Security and privacy

Code signing, notarization, and entitlement analysis for Bilibili Manga Watermark Remover.

Code Signing

Basic
Signed
Notarized
Hardened Runtime

When was Bilibili Manga Watermark Remover last updated?

1 tracked releases since June 2026.

Latest: v0.10.0
June 21, 2026

Last verified June 21, 2026

Get version history, dependency trees, and scores via API
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