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python-pillow
Pillow
Python2012–2025
python-pillow / Pillow

Pillow

Python Imaging Library (fork)

Creative & MediaLibraries & SDKs
Explore on GitHubRead Hacker News discussions
10Distinct people
12Mentions
0Explicit recommenders
14KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Python Imaging Library (fork)

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year12 dated mentions

Observed mentions: 2012-08-15 14:41:32 UTC to 2025-10-16 19:15:05 UTC.

012342012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20122013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC101
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC110
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC413
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC211
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC202

What Hacker News says

12 sources
ai_critic·Jun 15, 2025
> While EXIF data works pretty well for most basic stuff, it's not enough for everything one might need for AI specific stuff, especially for things like attention maps and saliency regions. That's why I mentioned that you put anything, include binary data--which includes images--into the chunks in a PNG. I think Pillow even supports this (there are some PRs, like https://github.com/python-pillow/Pillow/pull/4292 , that suggest this). Your problem domain is: * Have something that looks like a PNG... * ...that doesn't need supporting files outside itself... * ...that can also store textual data (e.g., that JSON blob of bounding boxes and whatnot)... * ...and can also store image data (e.g., attention maps and saliency regions). What I'm telling you is that the PNG file format already supports all of this stuff, you just need to be smart en
Read the rest
ough to read the spec and apply the affordances it gives you. > I'm currently working on redundancy and error correction to deal with the resizing problem. Having a separate file format, even if it's a headache and adds another one to the list (well, another cute-sounding one at least), gives more customization options and makes it easier to associate the properties directly. In the 90s, we'd already spent vast sums of gold and blood and tears solving the "holy shit, how do we encode multiple things in images so that they can survive an image pipeline, be extensible to end users, and be compressed reliably." None of this has been new for three decades. Nothing you are going to do is going to be a value add over correctly using the file format you already have. I promise that you aren't going to see anything particularly new or exciting in this AI goldrush that isn't an isomorphism of something much smarter, much better-paid people solved back when image formats were still a novel problem domain (again, in the 1990s).
In Show HN: Meow – An Image File Format I made because PNGs and JPEGs suck for AI
wiredfool·Sep 2, 2015
PNGs also have optional compressed text metadata chunks, and it's possible to sneak a decompression bomb into one of those as well. You can get about a factor of 1000 in the compression -- 1MB of 'a' winds up being about 1040 bytes. You can have multiple itxt chunks, and it appears that the chunk size is only limited to 2^31-1. See https://github.com/python-pillow/Pillow/blob/master/Tests/ch... for a quick way to generate some of these.
In Biggest image in the smallest space

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