pako vs compression vs lz-string vs brotli vs snappy vs zlib vs lz4 vs gzip-js
Data Compression Libraries Comparison
1 Year
pakocompressionlz-stringbrotlisnappyzliblz4gzip-jsSimilar Packages:
What's Data Compression Libraries?

Data compression libraries are essential tools in web development for reducing the size of data transmitted over networks. They help improve load times, optimize bandwidth usage, and enhance overall application performance. Each library offers unique algorithms and features tailored for specific use cases, making it crucial for developers to choose the right one based on their requirements and constraints.

Package Weekly Downloads Trend
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pako29,979,0675,7751.64 MB262 years ago(MIT AND Zlib)
compression21,207,3582,78727.5 kB222 months agoMIT
lz-string14,715,5084,232176 kB552 years agoMIT
brotli3,473,8305201.5 MB28-MIT
snappy400,30217514.2 kB13-MIT
zlib375,51763-1114 years ago-
lz4115,443436-414 years agoMIT
gzip-js22,401436-1512 years agoGPL
Feature Comparison: pako vs compression vs lz-string vs brotli vs snappy vs zlib vs lz4 vs gzip-js

Compression Ratio

  • pako:

    Pako's compression ratio is similar to Gzip, making it suitable for applications that need compatibility with Gzip streams.

  • compression:

    The compression ratio varies based on the algorithm used; it generally provides good results for various content types.

  • lz-string:

    LZ-string provides a moderate compression ratio, optimized for string data, but not as high as Brotli or Gzip.

  • brotli:

    Brotli offers one of the highest compression ratios, especially for text files, making it ideal for web assets.

  • snappy:

    Snappy prioritizes speed over compression ratio, resulting in larger output sizes compared to Brotli or Gzip.

  • zlib:

    Zlib provides a good balance between compression ratio and speed, making it a versatile choice for many applications.

  • lz4:

    LZ4 focuses on speed rather than compression ratio, resulting in lower compression efficiency compared to Brotli or Gzip.

  • gzip-js:

    Gzip-js achieves a decent compression ratio, comparable to native Gzip, but may not be as efficient as Brotli for text.

Speed

  • pako:

    Pako is designed for performance and offers fast compression and decompression speeds, making it suitable for high-performance applications.

  • compression:

    Compression middleware is optimized for speed, allowing for quick responses in Node.js applications.

  • lz-string:

    LZ-string is designed for fast compression and decompression, making it ideal for real-time applications.

  • brotli:

    Brotli is slower than Gzip in compression speed but offers faster decompression, making it suitable for web use where decompression speed is critical.

  • snappy:

    Snappy is optimized for speed, providing extremely fast compression and decompression, ideal for big data applications.

  • zlib:

    Zlib offers a good balance of speed and compression efficiency, making it suitable for various use cases.

  • lz4:

    LZ4 is one of the fastest compression algorithms available, providing rapid compression and decompression times.

  • gzip-js:

    Gzip-js is slower than native Gzip but is still relatively fast for client-side operations.

Use Case

  • pako:

    Versatile for both client-side and server-side applications needing Gzip compatibility.

  • compression:

    Ideal for Node.js applications needing automatic response compression, especially in REST APIs.

  • lz-string:

    Perfect for compressing string data for local storage or small data transfers in web applications.

  • brotli:

    Best suited for web applications serving static assets like HTML, CSS, and JavaScript, where reducing load times is critical.

  • snappy:

    Commonly used in big data frameworks like Hadoop and Spark, where speed is prioritized over size.

  • zlib:

    Widely used in server-side applications for compressing HTTP responses and data streams.

  • lz4:

    Great for applications requiring fast data processing, such as real-time analytics and large data sets.

  • gzip-js:

    Useful for client-side applications that require data compression before sending it to the server.

Browser Support

  • pako:

    Works in all browsers, providing a robust solution for Gzip and Zlib compression in client-side applications.

  • compression:

    Middleware for Node.js, not directly related to browser support but works with any browser that supports the underlying compression algorithms.

  • lz-string:

    Compatible with all browsers, making it easy to use for string compression in web applications.

  • brotli:

    Supported by all modern browsers, making it a safe choice for web applications.

  • snappy:

    Not directly supported in browsers; primarily used in server-side environments.

  • zlib:

    Not browser-specific; used in server-side applications for data compression.

  • lz4:

    Not natively supported in browsers; typically used in server-side applications.

  • gzip-js:

    Works in all browsers as a pure JavaScript implementation, suitable for client-side use.

Ease of Use

  • pako:

    User-friendly API that mimics the Gzip interface, making it easy to adopt for those familiar with Gzip.

  • compression:

    Easy to integrate into Node.js applications with minimal configuration needed.

  • lz-string:

    Very easy to use with a simple API for string compression and decompression.

  • brotli:

    Requires some setup for server-side use, but straightforward for web applications with modern frameworks.

  • snappy:

    Requires understanding of its API and integration into existing systems, which may be complex for beginners.

  • zlib:

    Widely documented and easy to use, especially for those familiar with Node.js.

  • lz4:

    May require more setup and understanding of its API for effective use.

  • gzip-js:

    Simple API for client-side compression, making it easy to implement.

How to Choose: pako vs compression vs lz-string vs brotli vs snappy vs zlib vs lz4 vs gzip-js
  • pako:

    Use Pako if you need a versatile library that supports both Gzip and Zlib compression. It's a great choice for applications that require compatibility with existing Gzip streams while maintaining high performance.

  • compression:

    Use Compression if you're looking for a middleware solution in Node.js that can automatically compress HTTP responses. It supports multiple algorithms and is easy to integrate into existing Express applications.

  • lz-string:

    Opt for lz-string if you need a lightweight and fast compression solution specifically for string data. It's particularly useful for compressing data in local storage or when transmitting small amounts of data over the network.

  • brotli:

    Choose Brotli if you need a modern compression algorithm that provides superior compression ratios, especially for text-based content like HTML, CSS, and JavaScript. It's particularly effective for web applications and is supported by most modern browsers.

  • snappy:

    Select Snappy if your primary concern is speed over compression ratio. It's designed for high throughput and is often used in big data applications where quick data access is more important than minimizing size.

  • zlib:

    Choose Zlib for a robust and widely-used compression library that supports various algorithms, including Gzip and Deflate. It's suitable for server-side applications where you need reliable and efficient compression.

  • lz4:

    Choose LZ4 for high-speed compression and decompression with a focus on performance. It's ideal for scenarios where speed is critical, such as real-time data processing or large data sets that require quick access.

  • gzip-js:

    Select gzip-js for a pure JavaScript implementation of Gzip compression. It's useful for client-side compression in web applications where you want to compress data before sending it over the network without relying on native modules.

README for pako

pako

CI NPM version

zlib port to javascript, very fast!

Why pako is cool:

  • Results are binary equal to well known zlib (now contains ported zlib v1.2.8).
  • Almost as fast in modern JS engines as C implementation (see benchmarks).
  • Works in browsers, you can browserify any separate component.

This project was done to understand how fast JS can be and is it necessary to develop native C modules for CPU-intensive tasks. Enjoy the result!

Benchmarks:

node v12.16.3 (zlib 1.2.9), 1mb input sample:

deflate-imaya x 4.75 ops/sec ±4.93% (15 runs sampled)
deflate-pako x 10.38 ops/sec ±0.37% (29 runs sampled)
deflate-zlib x 17.74 ops/sec ±0.77% (46 runs sampled)
gzip-pako x 8.86 ops/sec ±1.41% (29 runs sampled)
inflate-imaya x 107 ops/sec ±0.69% (77 runs sampled)
inflate-pako x 131 ops/sec ±1.74% (82 runs sampled)
inflate-zlib x 258 ops/sec ±0.66% (88 runs sampled)
ungzip-pako x 115 ops/sec ±1.92% (80 runs sampled)

node v14.15.0 (google's zlib), 1mb output sample:

deflate-imaya x 4.93 ops/sec ±3.09% (16 runs sampled)
deflate-pako x 10.22 ops/sec ±0.33% (29 runs sampled)
deflate-zlib x 18.48 ops/sec ±0.24% (48 runs sampled)
gzip-pako x 10.16 ops/sec ±0.25% (28 runs sampled)
inflate-imaya x 110 ops/sec ±0.41% (77 runs sampled)
inflate-pako x 134 ops/sec ±0.66% (83 runs sampled)
inflate-zlib x 402 ops/sec ±0.74% (87 runs sampled)
ungzip-pako x 113 ops/sec ±0.62% (80 runs sampled)

zlib's test is partially affected by marshalling (that make sense for inflate only). You can change deflate level to 0 in benchmark source, to investigate details. For deflate level 6 results can be considered as correct.

Install:

npm install pako

Examples / API

Full docs - http://nodeca.github.io/pako/

const pako = require('pako');

// Deflate
//
const input = new Uint8Array();
//... fill input data here
const output = pako.deflate(input);

// Inflate (simple wrapper can throw exception on broken stream)
//
const compressed = new Uint8Array();
//... fill data to uncompress here
try {
  const result = pako.inflate(compressed);
  // ... continue processing
} catch (err) {
  console.log(err);
}

//
// Alternate interface for chunking & without exceptions
//

const deflator = new pako.Deflate();

deflator.push(chunk1, false);
deflator.push(chunk2); // second param is false by default.
...
deflator.push(chunk_last, true); // `true` says this chunk is last

if (deflator.err) {
  console.log(deflator.msg);
}

const output = deflator.result;


const inflator = new pako.Inflate();

inflator.push(chunk1);
inflator.push(chunk2);
...
inflator.push(chunk_last); // no second param because end is auto-detected

if (inflator.err) {
  console.log(inflator.msg);
}

const output = inflator.result;

Sometime you can wish to work with strings. For example, to send stringified objects to server. Pako's deflate detects input data type, and automatically recode strings to utf-8 prior to compress. Inflate has special option, to say compressed data has utf-8 encoding and should be recoded to javascript's utf-16.

const pako = require('pako');

const test = { my: 'super', puper: [456, 567], awesome: 'pako' };

const compressed = pako.deflate(JSON.stringify(test));

const restored = JSON.parse(pako.inflate(compressed, { to: 'string' }));

Notes

Pako does not contain some specific zlib functions:

  • deflate - methods deflateCopy, deflateBound, deflateParams, deflatePending, deflatePrime, deflateTune.
  • inflate - methods inflateCopy, inflateMark, inflatePrime, inflateGetDictionary, inflateSync, inflateSyncPoint, inflateUndermine.
  • High level inflate/deflate wrappers (classes) may not support some flush modes.

pako for enterprise

Available as part of the Tidelift Subscription

The maintainers of pako and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. Learn more.

Authors

Personal thanks to:

  • Vyacheslav Egorov (@mraleph) for his awesome tutorials about optimising JS code for v8, IRHydra tool and his advices.
  • David Duponchel (@dduponchel) for help with testing.

Original implementation (in C):

  • zlib by Jean-loup Gailly and Mark Adler.

License

  • MIT - all files, except /lib/zlib folder
  • ZLIB - /lib/zlib content