Simple, low-configuration system for serializing and deserializing javascript objects with types
A simple list of possible Typed Array names.
Typed JSON parsing and serializing for TypeScript that preserves type information, using decorators. Parse JSON into actual class instances.
Which kind of Typed Array is this JavaScript value? Works cross-realm, without `instanceof`, and despite Symbol.toStringTag.
Returns an array of Typed Array names that are available in the current environment
Robustly get the byte offset of a Typed Array
Robustly get the byte length of a Typed Array
Support for proto3 JSON serialiazation/deserialization for protobuf.js
Get the ArrayBuffer out of a TypedArray, robustly.
Is this value a JS Typed Array? This module works cross-realm/iframe, does not depend on `instanceof` or mutable properties, and despite ES6 Symbol.toStringTag.
Serialization for Keyv
Robustly get the length of a Typed Array
JavaScript implementation of the BSER Binary Serialization
(De)serialization functions for the Cardano blockchain along with related utility functions
typesafe assertion library for TypeScript 3.7+
Serialization interface for Data-Forge. This defines a simple format for a serialized dataframe.
Functional utility library - modern, simple, typed, powerful
Javascript module template.
Simple postMessage based server.
(De)serialization functions for the Cardano blockchain along with related utility functions
Advanced JavaScript objects serialization.
This package provides the core HTTP request orchestration, response handling, and API call coordination.
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Implementation of Kiota Serialization interfaces for text
Provides auto-serialization of simple Ruby types that databases do not support, such as symbols and classes.
Fast, binary-sortable serialization for arrays of simple Ruby types.
Fast, binary-sortable serialization for arrays of simple Ruby types.
The Simple Declarative Language provides an easy way to describe lists, maps, and trees of typed data in a compact, easy to read representation. For property files, configuration files, logs, and simple serialization requirements, SDL provides a compelling alternative to XML and Properties files.
Simple and Compressed Object Notation (SCON) serializes arrays and objects into a binary format, all the while using as little space as possible by reusing duplicate keys with a binary reference and clever type definitions.
Tokyo Cabinet is a library of routines for managing a database. The database is a simple data file containing records, each is a pair of a key and a value. Every key and value is serial bytes with variable length. Both binary data and character string can be used as a key and a value. There is neither concept of data tables nor data types. Records are organized in hash table, B+ tree, or fixed-length array.
Kyoto Cabinet is a library of routines for managing a database. The database is a simple data file containing records, each is a pair of a key and a value. Every key and value is serial bytes with variable length. Both binary data and character string can be used as a key and a value. Each key must be unique within a database. There is neither concept of data tables nor data types. Records are organized in hash table or B+ tree.
Kyoto Cabinet is a library of routines for managing a database. The database is a simple data file containing records, each is a pair of a key and a value. Every key and value is serial bytes with variable length. Both binary data and character string can be used as a key and a value. Each key must be unique within a database. There is neither concept of data tables nor data types. Records are organized in hash table or B+ tree.
Kyoto Cabinet is a library of routines for managing a database. The database is a simple data file containing records, each is a pair of a key and a value. Every key and value is serial bytes with variable length. Both binary data and character string can be used as a key and a value. Each key must be unique within a database. There is neither concept of data tables nor data types. Records are organized in hash table or B+ tree.
Kyoto Cabinet is a library of routines for managing a database. The database is a simple data file containing records, each is a pair of a key and a value. Every key and value is serial bytes with variable length. Both binary data and character string can be used as a key and a value. Each key must be unique within a database. There is neither concept of data tables nor data types. Records are organized in hash table or B+ tree.
Contentful API wrapper library exposing an ActiveRecord-like interface
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