FastBrush - Ink Painting

LiveAdrian Blanco5 apps · 10.5K installsArt & DesignFreeco.adrianblan.fastbrush

Fast brush painting simulation

Alert me★ WatchOpen in Play ↗
Total installs
1,999
exact · Play shows 1,000+
Installs / day
0
7-day avg · last day 0
Rating
—★
— ratings · — reviews
Released
—
—
Last update
28 Aug 2016
10.1y ago
Countries
—
not checked yet

Installs per day

gain of the exact counter
01234511 Oct12 Oct13 Oct

Daily tracking since 10 Oct 2026 · history grows every day

Install history

exact counter from Google Play
1,9981,9992,00010 Oct12 Oct13 Oct

Daily tracking since 10 Oct 2026 · history grows every day

Change timeline

Full history

No changes recorded yet. We compare every crawl with the previous one and list title, icon, screenshots, description, version, price and availability changes here.

Country availability

Availability has not been checked for this app yet. “Check all countries” looks the app up in about 140 Google Play storefronts and shows where it is live, listed but not installable, or missing — plus any country-specific (custom) store listings.

Top countries

Country data will be available soon.

We estimate where downloads come from using the app’s position in Google Play’s top charts in about 140 countries. This app is not in any chart we have collected yet; the estimate appears as soon as it is.

Top chart positions

Not in any tracked top chart.

App manifest

Read this app's manifest from Google Play: permissions, declared SDKs, components and AdMob app ID. Saved analysis appears here automatically.

Manifest analysis reads only the required APK ranges. Base APK downloads may need separate device splits to install.

Data safety

declared by the developer on Google Play
  • No data shared with third parties
  • No data collected

This is the developer's own declaration, summarised from the Play listing. The permissions below show what the app is technically able to access.

Permissions

4 in 2 groups
4 Sensitive0 Notable0 Routine

What this app can do with your phone

  • Read photos, videos, and other files saved in your phone's shared storage
  • Add, change or delete photos, videos and other files in your phone's storage
Photos/Media/FilesSensitive2

Access to photos, videos, music and other files stored on your device

  • Read photos, videos, and other files saved in your phone's shared storageread the contents of your USB storage · READ_EXTERNAL_STORAGE
  • Add, change or delete photos, videos and other files in your phone's storagemodify or delete the contents of your USB storage · WRITE_EXTERNAL_STORAGE
StorageSensitive2

Access to files, photos and media saved on your phone's storage

  • Read photos, videos, and other files saved in your phone's shared storageread the contents of your USB storage · READ_EXTERNAL_STORAGE
  • Add, change or delete photos, videos and other files in your phone's storagemodify or delete the contents of your USB storage · WRITE_EXTERNAL_STORAGE

Sensitive = can reach personal data, location, camera/mic or act on your behalf. Notable = changes how your device behaves. Routine = normal for almost every app. Source: Google Play's permission list for all versions of this app.

Store listing

Full description
FastBrush is a state of the art implementation for real time brush simulation for Android using OpenGL. It both achieves unprecedented detail of results and is lightweight enough to be implemented for mobile devices. It uses multidimensional data driven modeling to create a deformation table, which enables calculating the physics of the brush deformations in constant time for the entire brush, and thus the physics calculation overhead of a large number of bristles becomes negligible. The final result of this system has far higher detail than available consumer painting applications. A paintbrush has up to a thousand bristles, while Adobe Photoshop is only able to simulate up to 10% of that amount in real-time, FastBrush is able to capture the full fidelity of a brush with up to a thousand bristles in real-time on consumer mobile devices. This work is part of my master thesis in Computer Science at KTH Royal Institute of Technology, in Stockholm, Sweden.

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