TOtosh·Aug 18, 2020Submission
Imageflow (High-performance image manipulation in Rust)
2 points · Open discussionimazen
imageflow
Rust2016–2020
imazen / imageflow
imageflow
High-performance image manipulation for web servers. Includes imageflow_server, imageflow_tool, and libimageflow
5Distinct people
5Mentions
0Explicit recommenders
4.5KGitHub stars
What to know before exploring
What it is
High-performance image manipulation for web servers. Includes imageflow_server, imageflow_tool, and libimageflow
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, 3:03:16 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 year5 dated mentions
Observed mentions: 2016-05-13 17:23:36 UTC to 2020-08-18 09:13:21 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2016 | 2016-01-01 00:00:00 UTC | 2017-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 3 | 1 | 2 |
What Hacker News says
5 sourcesI think it's a thing! https://github.com/imazen/imageflow
In DependencyVery nice website, it's very well done.
Regarding performance, I don't see what makes this high-performance. I looked into the code for filters and it's a very naive translation of the algorithms.
Naive not in the pejorative way, you can only do so much on images stored as contiguous RGB (arrays of struct), even OpenCV does not really optimize for this.
Non-naive implementations of filters would use tiling, register blocking, register rotation to avoid being bottlenecked by memory which is the main issue with stencil code. I don't think vectorization is straightforward with the RGB layout since you would need both scatter and gather instructions but gather requires AVX2 and scatter is very manual.
Anyway the benchmark should use a reference C or C++ library or even imageflow that is also written in Rust https://github.com/imazen/imageflow
Read the rest
.
Bonus point if you benchmark against Halide (https://halide-lang.org/) or Taichi (http://taichi.graphics/) and you're only 20 times slower (see their box blur example: https://github.com/halide/Halide/blob/master/apps/blur/halid...)
A significant portion of it is written in Rust. https://github.com/imazen/imageflow
In Imageflow is open-source software which scales, edits, and optimizes imageshttps://github.com/imazen/imageflow works for that and still gives you speed. :P
In Pillow-SIMD: improving the performance of image processing