libvips
rack-mini-profiler
libvips | rack-mini-profiler | |
---|---|---|
24 | 21 | |
9,029 | 3,656 | |
1.1% | 0.4% | |
9.2 | 7.5 | |
2 days ago | 3 months ago | |
C | Ruby | |
GNU Lesser General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
libvips
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Ask HN: How to handle user file uploads?
Read through the comments and was surprised no one mentioned libvips - https://github.com/libvips/libvips. At my current small company we were trying to allow image uploads and started with imagemagick but certain images took too long to process and we were looking for faster alternatives. It's a great tool with minimum overhead. For video thumbnails, we use ffmpeg which is really heavy. We off-load video thumbnail generation to a queue. We've had great luck with these tools.
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Building an online image compressor
After some research, I found libvips, a demand-driven, horizontally threaded image processing library. It is designed to run quickly while using as little as memory as possible.
- Libvips: A fast image processing library with low memory needs
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Things you might not know about Next Image
Sharp is a fast and efficient image optimization Node.js module that makes use of the native libvips library.
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Go Image Converting
h2non/bimg can handle both if the underlying libvips is compiled with support for both formats.
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.Webp is the bane of my existence
if you're using linux (which it doesn't seem so) there's also vispdisp https://github.com/jcupitt/vipsdisp which is based on https://github.com/libvips/libvips which will likely take over how images are decoded in the future for everything, at least methodology wise.
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How are responsive image sets are generated, stored, and managed server-side?
The magic happens by way of a library called Libvips, which contains an ultra-high-speed low-memory image resizer.
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imagor v1 - a fast, Docker-ready image processing server in Go, libvips and more
imagor uses one of the most efficient image processing library libvips. It is typically 4-8x faster than using the quickest ImageMagick and GraphicsMagick settings.
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[OSError] Cannot find pyvips library (DLLs)
Try the solutions here: https://github.com/libvips/libvips/issues/2479
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Image library for fast read of huge Tif files?
in that case maybe take a look at https://github.com/libvips/libvips
rack-mini-profiler
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RoR Debugbar
Author of peek here. Honestly, I got burnt out. We stopped using this internally at GitHub which made it difficult to continue working on. Rails was going through its identity crisis with asset pipelines.
https://github.com/MiniProfiler/rack-mini-profiler gets you most of the way there and comes by default in the Gemfile for new Rails applications.
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For RoR, see in production every method call, parameter and return value
This already exists to some degree: https://github.com/MiniProfiler/rack-mini-profiler
- How to reduce memory usage for your Rails app - R14 - Memory Quota Exceeded in Ruby (MRI)
- benchmark sql queries in an action?
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A Trick For Reading Flamegraphs
rack-mini-profiler will generate flamegraphs for Rails backend requests.
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How to make Turbo frames load faster?
Have you tried using https://github.com/MiniProfiler/rack-mini-profiler to get a clear breakdown of where your server is spending it's time filling the requests? If rack-mini-profiler is too much for you to deal with right now, you can still get a good idea just using the https://github.com/ruby/benchmark gem and wrapping some of your requests in a benchmark.
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Active_storage first time need help!
# Bundle edge Rails instead: gem "rails", github: "rails/rails", branch: "main" gem "rails", "~> 7.0.4" # The original asset pipeline for Rails [https://github.com/rails/sprockets-rails] gem "sprockets-rails" # Use sqlite3 as the database for Active Record gem "sqlite3", "~> 1.4" # Use the Puma web server [https://github.com/puma/puma] gem "puma", "~> 5.0" # Use JavaScript with ESM import maps [https://github.com/rails/importmap-rails] gem "importmap-rails" # Hotwire's SPA-like page accelerator [https://turbo.hotwired.dev] gem "turbo-rails" # Hotwire's modest JavaScript framework [https://stimulus.hotwired.dev] gem "stimulus-rails" # Build JSON APIs with ease [https://github.com/rails/jbuilder] gem "jbuilder" # Windows does not include zoneinfo files, so bundle the tzinfo-data gem gem "tzinfo-data", platforms: %i[ mingw mswin x64_mingw jruby ] # Reduces boot times through caching; required in config/boot.rb gem "bootsnap", require: false # Use Sass to process CSS # gem "sassc-rails" # Use Active Storage variants [https://guides.rubyonrails.org/active_storage_overview.html#transforming-images] # gem "image_processing", "~> 1.2" group :development, :test do # See https://guides.rubyonrails.org/debugging_rails_applications.html#debugging-with-the-debug-gem gem "debug", platforms: %i[ mri mingw x64_mingw ] end group :development do # Use console on exceptions pages [https://github.com/rails/web-console] gem "web-console" # Add speed badges [https://github.com/MiniProfiler/rack-mini-profiler] # gem "rack-mini-profiler" # Speed up commands on slow machines / big apps [https://github.com/rails/spring] # gem "spring" end group :test do # Use system testing [https://guides.rubyonrails.org/testing.html#system-testing] gem "capybara" gem "selenium-webdriver" gem "webdrivers" end
- What are the main suspects in a really slow Rails app?
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My project: railstart app
rack-mini-profiler
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Troubleshooting a RoR Application in Production
For a quick ad hoc peek at the performance of pages that you can request yourself, without having to go through the hoops of connecting to and committing to an external service, this gem can also be useful: https://github.com/MiniProfiler/rack-mini-profiler
What are some alternatives?
OpenCV - Open Source Computer Vision Library
bullet - help to kill N+1 queries and unused eager loading
imagick - Go binding to ImageMagick's MagickWand C API
ruby-prof - A ruby profiler. See https://ruby-prof.github.io for more information.
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
Peek - Take a peek into your Rails applications.
GD - GD Graphics Library
Derailed Benchmarks - Go faster, off the Rails - Benchmarks for your whole Rails app
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
benchmark-ips - Provides iteration per second benchmarking for Ruby
FreeImage - A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework.
perftools.rb - gperftools for ruby code