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Home/Apps/BiliBili Manga Downloader

BiliBili Manga Downloader

by Zeal-L

NicheWindowspythonv1.5.1
Available onGitHubwinget
Runtime
python
Size
51 MB
Architecture
x64
Dependencies
33
6 categories
Last Updated
Jun 12, 2026

BiliBili Manga Downloader is a python app (v1.5.1) that uses 33 detected dependencies across 6 categories including Media, Encoding, Compression. It is not code-signed. 51 MB on Windows (x64). Last updated June 12, 2026. Last verified June 2026.

What is BiliBili Manga Downloader built with?

33 detected dependencies across 6 categories.

Media

2
png (Rust)Pillow

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Encoding

1
idna

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Compression

2
Brotlizlib

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Networking

1
qrcode

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UI Framework

1
Tcl/Tk

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Other

28
bcjsixsrccffipy7zrpypdfjinja2piexifpsutilpyppmdpyzstdcertifipyside6urllib3pypinyinrequestsretryinginflate64pycparsershiboken6soupsievemarkupsafeqt-materialpycryptodomexbeautifulsoup4multivolumefiletyping-extensionscharset-normalizer

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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 Downloader 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.

How popular is BiliBili Manga Downloader?

Popularity ranking based on install counts, store ratings, and community signals.

Popularity Tier
Ranked across all Windows apps
Niche

Popularity Score

0
0
Adoption
0
Mindshare
0
Store Rank

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When was BiliBili Manga Downloader last updated?

14 tracked releases since March 2023.

Latest: v1.5.1
March 31, 2024
v1.5.1
Mar 31, 2024
v1.5.0
Dec 6, 2023
v1.4.0
Sep 30, 2023
v1.3.2
Aug 29, 2023
v1.3.1
Aug 25, 2023
v1.3.0
Aug 10, 2023
v1.2.0-alpha
Jul 4, 2023
v1.2.0
Jun 20, 2023
v1.1.0
May 19, 2023
v1.0.4
Apr 24, 2023
v1.0.3
Mar 11, 2023
v1.0.2
Mar 11, 2023
v1.0.1
Mar 8, 2023
v1.0.0
Mar 5, 2023

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Last verified June 12, 2026

Get version history, dependency trees, and scores via API
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