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brotli | Snappy | |
---|---|---|
25 | 5 | |
13,111 | 5,977 | |
1.2% | 0.6% | |
8.3 | 2.6 | |
3 days ago | 7 days ago | |
TypeScript | C++ | |
MIT License | GNU General Public License v3.0 or later |
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.
brotli
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Jpegli: A New JPEG Coding Library
JPEGLI = A small JPEG
The suffix -li is used in Swiss German dialects. It forms a diminutive of the root word, by adding -li to the end of the root word to convey the smallness of the object and to convey a sense of intimacy or endearment.
This obviously comes out of Google Zürich.
Other notable Google projects using Swiss German:
https://github.com/google/gipfeli high-speed compression
Gipfeli = Croissant
https://github.com/google/guetzli perceptual JPEG encoder
Guetzli = Cookie
https://github.com/weggli-rs/weggli semantic search tool
Weggli = Bread roll
https://github.com/google/brotli lossless compression
Brötli = Small bread
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Compression efficiency with shared dictionaries in Chrome
The brotli repo on github has a dictionary generator: https://github.com/google/brotli/blob/master/research/dictio...
I have a hosted version of it on https://use-as-dictionary.com/ to make it easier to experiment with.
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The Full-Stack development experience
An additional element that we can finally remove from our stack is the minification of JavaScript and CSS files. Thanks to algorithms like brotli (with a very Swiss flavour) we no longer need to minify and compress our files before distributing them. Cloudflare, Nginx, or Apache will take care of everything for us.
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Brotli vs. GZIP vs. Zopfli: Comparing JavaScript Compression Techniques.
As you navigate the intricate world of JavaScript compression and web development, having a trusted partner by your side can make all the difference. That's where Coding Crafts comes in. At Coding Crafts, we take pride in being a top-tier software development company in USA. Our team of experts specializes in web development, optimization, and everything in between. As the best IT company in USA, we are dedicated to delivering cutting-edge solutions that drive performance and efficiency. Our expertise extends to choosing the right compression technique for your web application, ensuring that your website performs optimally. In conclusion, the choice of JavaScript compression technique depends on various factors, including your specific goals, browser and server support, and performance requirements. Whether you opt for Brotli, GZIP, or Zopfli, Coding Crafts is here to provide the guidance and expertise you need to enhance your web application's performance and user experience. For more information on how Coding Crafts can assist you with your web development and optimization needs, contact us today. Resources "Brotli - GitHub Repository": https://github.com/google/brotli "Zopfli - Google Developers": https://developers.google.com/speed/articles/zopfli "Introduction to GZIP Compression - MDN Web Docs": https://developer.mozilla.org/en-US/docs/Web/HTTP/Overview#gzip_compression "Brotli vs. GZIP vs. Zopfli: Which Compression Method is Best?" - KeyCDN Blog: https://www.keycdn.com/blog/brotli-vs-gzip-vs-zopfli
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Framer Update: 2x Faster Sites
We serve your site from a global cache location close to your visitors to make sure your site loads fast. In addition, we use an advanced HTML and text compression algorithm called Brotli. Compressed content is now cached, so we can send it directly to your visitors instead of compressing each request individually. In our tests this often improves loading speed by up to 2x, which will have a very positive impact on your Lighthouse scores like LCP. This will be especially noticeable on larger sites, so you can scale your site without worry.
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How Much Faster Is Making a Tar Archive Without Gzip?
For anyone who wants to try this, zstd -T0 uses all your threads to compress, and https://github.com/facebook/zstd has a lot more description. Brotli, https://github.com/google/brotli, is another modern format with some good features for high compression levels and Content-Encoding support in web browsers. You might also want to play with the compression level (-1 to -11 or more, zstd's --fast=n).
One reason these modern compressors do better is not any particular mistake made defining DEFLATE in the 90s, but that new algos use a few MB of recently seen data as context instead of 32KB, and do other things impractical in the 90s but reasonable on modern hardware. The new algorithms also contain logs of smart ideas and have fine-tuned implementations, but that core difference seems important to note.
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Troubling Launching Duckstation
It seems to be using a lib called brotli - https://github.com/google/brotli. Can you compile from source?
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2000’s Winamp/WMP-ish skins?
(++) Play Youtube videos and playlistsRelease date: Feb 3 20223dyd, [email protected] libraries: brotli https://github.com/google/brotli (1.0.7)
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Stop delaying. Share knowledge on a blog built with Eleventy.
Alright, the minifying is done. What else? Did you know you can serve HTML, CSS and JS compressed? A lot of websites still use gzip, but there’s also Brotli. Brotli is specifically made for the web and compresses a lot better than gzip in most cases.
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Configuring CloudFront to compress objects in AWS CDK
You can use CloudFront to automatically compress certain types of objects (files) and serve the compressed objects when viewers (web browsers or other clients) support them. Viewers indicate their support for compressed objects with the Accept-Encoding HTTP header. CloudFront can compress objects using the Gzip and Brotli compression formats. When the viewer supports both formats, CloudFront prefers Brotli.
Snappy
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Why I enjoy using the Nim programming language at Reddit.
Another example of Nim being really fast is the supersnappy library. This library benchmarks faster than Google’s C or C++ Snappy implementation.
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Stretch iPhone to Its Limit: 2GiB Stable Diffusion Model Runs Locally on Device
It doesn't destroy performance for the simple reason that nowadays memory access has higher latency than pure compute. If you need to use compute to produce some data to be stored in memory, your overall throughput could very well be faster than without compression.
There have been a large amount of innovation on fast compression in recent years. Traditional compression tools like gzip or xz are geared towards higher compression ratio, but memory compression tends to favor speed. Check out those algorithms:
* lz4: https://lz4.github.io/lz4/
* Google's snappy: https://github.com/google/snappy
* Facebook's zstd in fast mode: http://facebook.github.io/zstd/#benchmarks
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Compression with best ratio and fast decompression
Google released Snappy, which is extremely fast and robust (both at compression and decompression), but it's definitely not nearly as good (in terms of compression ratio). Google mostly uses it for real-time compression, for example of network messages - not for long-term storage.
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How to store item info?
Just compress it! Of course if you will you ZIP, players will able to just open this zip file and change whatever they want. But you can use less popular compression algorithms which are not supported by default Windows File Explorer. Snappy for example.
- What's the best way to compress strings?
What are some alternatives?
LZ4 - Extremely Fast Compression algorithm
zstd - Zstandard - Fast real-time compression algorithm
LZMA - (Unofficial) Git mirror of LZMA SDK releases
ZLib - A massively spiffy yet delicately unobtrusive compression library.
zlib-ng - zlib replacement with optimizations for "next generation" systems.
haproxy - HAProxy Load Balancer's development branch (mirror of git.haproxy.org)
tiny_jpeg.h - Single header lib for JPEG encoding. Public domain. C99. stb style.