Compression util

The compression tool

This tool, works with the folowing compression algorithms:

• Deflate
• Gzip
• Brotli
• LZMA
• Zstandard (Zstd)
• Snappy

Upon compression, each algorith will be used, and you will get a comparable overview of how the exact input, is compressed and decompressed using each algorithm (performance benchmarks). The overview will include compression size, compression ratio and timeing of not compress and decompress operations. All important factors, when choosing the right algorithm for your project.

Upon decompression, each algorithm will be tried, until success - and the compressed input, will be decompressed.

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Samples

Try out these, if you would like to give it a go, and see how it works:

Compress random lorem-ipsum! Compress html of https://iamroot.tech Decompress data (BASE64 encoded compressed data)

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Compession TLDR

Compression works by identifying patterns and redundancies within a file and representing them in a more efficient manner. For instance, if a file contains repeated sequences, compression algorithms can store these sequences once and refer to them whenever needed. This reduces the overall file size without losing any information.

Usecases of compression:

• Saves storage space: Compressed files take up less space, making them easier to store and manage.
  
  
• Faster transmission: Smaller file sizes lead to quicker upload and download times, especially important in web applications and data transfer over the internet.
  
  
• Optimizes performance: In web development, compressed files reduce load times, enhancing user experience and reducing bandwidth usage.
  
  

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Deflate

Deflate is a lossless compression algorithm that combines the LZ77 algorithm and Huffman coding. It's widely used due to its balance between speed and compression efficiency. You'll find Deflate at the core of formats like ZIP and PNG. This method is favored for its versatility and performance across various platforms.

Read more on Deflate at Wikipedia. Techinical specification in RFC 1951.

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Gzip

Gzip is a file format and software application for file compression and decompression, based on the Deflate algorithm. It is commonly used in Unix-like systems and web servers to compress HTTP responses, reducing file size and speeding up transmission. Gzip remains a standard in data compression for its reliability and effectiveness.

Read more on Gzip at Wikipedia. Techinical specification in RFC 1952.

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Brotli

Brotli is a modern, high-performance compression algorithm developed by Google, offering superior compression ratios compared to traditional methods like Gzip. It's especially effective for compressing web content, resulting in faster page loads. Brotli is now widely adopted in web browsers and servers, making it a go-to choice for web optimization.

Read more on Brotli at Wikipedia. Techinical specification in RFC 7932.

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Zstandard (Zstd)

Zstandard (Zstd) is a fast, lossless compression algorithm developed by Facebook. It balances high compression ratios with impressive decompression speeds, making it an excellent choice for real-time compression scenarios. Zstd is highly tunable, offering flexible compression levels to optimize for speed or compression ratio, and it's increasingly used in data storage and network transmission for its versatility and efficiency.

Zstandard @ GitHub. Read more on Zstandard at Wikipedia.

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LZMA (Lempel-Ziv-Markov chain algorithm)

LZMA is a highly efficient, lossless data compression algorithm developed as part of the 7-Zip project. It provides a higher compression ratio compared to Deflate and Gzip, at the cost of increased computational complexity. LZMA achieves this by using a dictionary compression method similar to LZ77 (used in Deflate) but with more sophisticated encoding techniques.

Read more on LZMA at Wikipedia.

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Snappy

Developed by Google, Snappy is designed for high-speed compression and decompression. It is similar to LZ4 in that it favors speed over compression ratio. Snappy is particularly well-suited for applications like database systems, where data is frequently compressed and decompressed.

Snappy @ GitHub. Read more on Snappy at Wikipedia.