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Base32k

Base32k encoding - efficiently pack binary data into UTF-16 strings

Install / Use

/learn @simonratner/Base32k
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

base32k

npm

Efficiently pack binary data into UTF-16 strings, with encoding overhead approaching 6%.

Based on comments by Perry A. Caro, here and here.

Usage

base32k.encode([1, 2, 3]);
// => "㐀㐀告㐀䐀㐀㨀␆"

base32k.decode(base32k.encode([1, 2, 3]));
// => [1, 2, 3]

base32k.decodeBytes(base32k.encodeBytes("Hello world!"));
// => "Hello world!"

Comparison

The following results show the maximum number of 4-byte ints that can be stored in localStorage on Google Chrome 19.0.1084.52 m. JSON encoding is variable-width, making smaller integers more efficient, but even in the best case of all zeros its benefit is marginal.

base64                                1,949,700 bytes (×2.66 overhead)
base256                               2,605,060 bytes (×2.00 overhead)
base32k                               4,898,820 bytes (×1.06 overhead)

json (large integers)                   950,276 bytes equiv.
json (small integers)                 1,785,860 bytes equiv.
json (zeros)                          5,226,500 bytes equiv.

base32k packed json (large integers)  1,785,860 bytes equiv.
base32k packed json (small integers)  3,358,724 bytes equiv.
base32k packed json (zeros)           9,814,020 bytes equiv.

Packed JSON packs 15 bytes into eight utf-16 characters, roughly doubling the efficiency over ascii-only JSON; useful when encoding complex objects, as long as they do not contain unicode strings.

TODO: Speed tests.

View on GitHub
GitHub Stars12
CategoryDevelopment
Updated4y ago
Forks4

Languages

JavaScript

Security Score

75/100

Audited on Jan 13, 2022

No findings