packBytes

💫 The Fastest, Smallest, and Easiest to use data encoder for JavaScript
♻️ Schemas automate all encoding and decoding in high-level interface
📡 Useful for storing or sending compact data over network
⏩ Benchmark is 50x smaller than JSON and 5x faster to encode

Node.js ✔️  Web Browsers ✔️

1. Install
2. Schema
3. Example
4. Benchmark
5. API

Install:

npm i e3dio/packbytes

Schema:

• Define the structure of your data with a Schema
• Encoder/Decoder will optimize and execute all low-level operations for you
• Creates a smaller encoding faster and easier than any other schema-based system:

// Example schema with all data types:

import { bool, bits, float, varint, string, blob, objectid, uuid, date, lonlat, array, schemas } from 'packbytes';

const schema = {
   a: bool,
   b: bits(1),
   c: bits(7),
   d: bits(25),
   e: string,
   x: string('str1', 'str2'),
   y: array(bits(5)),
   z: array({
      a: float(32),
      b: float(64),
      c: blob,
      d: blob(12),
      e: array(blob),
      f: array(string),
      1: array(string('str1', 'str2')),
      2: array(string('str1', 'str2')).size(3),
      3: array(array(bits(7))),
      4: schemas({ name1: bool, name2: array(bits(3)).size(2) }),
      5: array(schemas({ s1: string, s2: { field1: bool, field2: array(string('str1', 'str2')) } }))
   })
};

Example:

• This code runs in both Node.js and Web Browser:

Schema:

import { bool, bits, array, PackBytes } from 'packbytes';

const schema = array({
   a: bool,
   b: bits(2),
   c: bits(5)
});

const encoder = new PackBytes(schema);

Encode:

const data = [
   { a: false, b: 0, c: 0 },
   { a: true, b: 1, c: 12 },
   { a: true, b: 3, c: 31 }
];

const buf = encoder.encode(data);

// buf.length == 3, encoded to 3 bytes, 24x smaller than JSON.stringify(data) at 73 bytes

sendOverNetwork(buf);
saveToDisk(buf);

Decode:

const data = encoder.decode(buf);

console.log(data);
// [
//    { a: false, b: 0, c: 0 },
//    { a: true, b: 1, c: 12 },
//    { a: true, b: 3, c: 31 }
// ]

Benchmark:

• The benchmark encodes data 50x smaller than JSON and is 5x faster, also compare with other encoding methods:

Encoding	time (ns)	bytes
packBytes	55	1
packBytes_schema	155	1
avsc	270	4
protobuf	250	8
msgpack	1170	33
json	800	53

• Same benchmark with different data set, 25x smaller than JSON and 5x faster:

Encoding	time (ns)	bytes
packBytes	60	4
packBytes_schema	210	4
avsc	300	9
protobuf	490	17
msgpack	1450	33
json	1150	102

API:

• Detailed API description and user guide:

// all available exports:
import { bool, bits, string, array, float, blob, schemas, PackBytes } from 'packbytes';

// create a schema using any combination or nesting of schema types:
schema = bool // true or false
schema = bits(x) // x number bits for unsigned integer (max integer = 2**x-1)
schema = string // string of any length
schema = string('str1', 'str2', ..) // any of specific strings, auto-maps to integer
schema = float(x) // 32 or 64 bit floating point number
schema = blob // any length buffer
schema = blob(x) // specific byte size buffer 
schema = array(schema) // array of any schema type
schema = array(schema).size(x) // specific length array
schema = { field1: schema, field2: schema, .. } // object with multiple fields, field names auto-map to integers
schema = schemas({ schema1: schema, schema2: schema, .. }) // multiple schemas mapped to 1 schema, schema names auto-map to integers

// create encoder by providing schema:
// accepts schema object or JSON.stringify(schema) string for easy transfer from server to client:
encoder = new PackBytes(schema)

buf = encoder.encode(data) // encode data
buf = encoder.encode(schema_name, data) // encode data with specific schema from 'schemas' type

data = encoder.decode(buf) // decode, returns original data