photomosaic

No phone app

5.2No. 11 of 23
in Photo Mosaic Software
  • Recognised40% of the score20
  • Phone app26% of the score0
  • Documented20% of the score46
  • Free plan14% of the score30
Free plan
No

Summary

photomosaic is ranked #11 of 23 in photo mosaic software on Samsung Mobile US Press.

Compared on photo mosaic software

Custom tile library
Yesdanielballan.github.io
Tile reuse controls
Yesdanielballan.github.io
Output formats
PNG, JPGdanielballan.github.io

Facts

Purpose
Photomosaic assembles images from a collection into a mosaic that looks like one large photo when viewed at a distance.danielballan.github.io · 4 Oct 2026
Tile layouts
It can mix tile sizes and place tiles in irregular or overlapping positions.danielballan.github.io · 4 Oct 2026
Adaptive detail
It can subdivide regions with high detail into smaller tiles.danielballan.github.io · 4 Oct 2026
Masks
A mask can make the tile partition roughly trace its edge.danielballan.github.io · 4 Oct 2026
Color matching
It can adapt the target image’s color palette to the colors available in the tile pool and uses colorspacious for perceptually accurate color matching.danielballan.github.io · 4 Oct 2026
Flickr integration
The package can download tile images from Flickr search results or albums using Flickr’s public API.danielballan.github.io · 4 Oct 2026
Attribution and licenses
Downloaded images are accompanied by JSON attribution information, and Flickr search queries can be filtered by license; album downloads do not programmatically check licenses.danielballan.github.io · 4 Oct 2026
Image pool size
The documentation says about 300 tile images is typically the minimum for good results.danielballan.github.io · 4 Oct 2026
Installation
The package can be installed with pip and requires Python 3.5 or later according to the installation page.danielballan.github.io · 4 Oct 2026
Optional parallelism
An optional parallel extra is available for experimental parallelism features.danielballan.github.io · 4 Oct 2026
Customization
The project describes its use of standard data structures and says users can experiment with custom tile partitioning, color characterization, matching, and drawing strategies.danielballan.github.io · 4 Oct 2026
Performance
The tutorial says drawing is typically the slowest step and that reusing a cache of resized pool images can speed up repeated draws.danielballan.github.io · 4 Oct 2026
Project license
The GitHub repository identifies the project license as BSD-3-Clause.github.com · 4 Oct 2026
Maintenance history
The documentation lists version 0.3.1 dated 21 June 2019 as its newest release note.danielballan.github.io · 4 Oct 2026
Contribution
The documentation invites contributions and names alternative matching and tile-partitioning algorithms as possible areas of interest.danielballan.github.io · 4 Oct 2026

Company

Founded
2012danielballan.github.io · 28 Sept 2026

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Sources