Data transformation Packages

Data Transformation Language - JSON templates and data transformation

Svizzle Utils is a library to help transforming data.

JSON transformation toolkit, define and test transformations with a simple yet powerful and flexible JSON transformation syntax.

Portable processing pipelines for data transformation and visualization based on single-thread JavaScript.

Transform json-data using relational concepts

CSV to JSON

A library for performing structured modifications on JSON data. It provides a safe, predictable way to transform JSON objects through a series of operations.

A Node.js module designed to handle the serialization and deserialization of JavaScript objects, including functions.

Json mapping library written in TypeScript

array-of-object-query is a simple JavaScript library that makes working with arrays of objects easier. It has some methods to help you filter, sort, group, and summarize data. Use this library to make handling complex data structures simple and efficient.

The `Arrganizer` class is a utility for organizing, transforming, and formatting data sets. It provides various methods to group, filter, modify, and format data, as well as to manage the history of operations performed on the data.

Dynoport is a CLI tool that allows you to easily import and export data from a specified DynamoDB table. It provides a convenient way to transfer data between DynamoDB and JSON files

A powerful SDK for complex object manipulation, including deep flattening, unflattening, property checks, and modifications.

A robust TypeScript library for managing binary data by converting between Base64 strings and Uint8Array, validating buffer-like objects, and ensuring data purity.

The `DataOrganizer` class is a utility for organizing, transforming, and formatting data sets. It provides various methods to group, filter, modify, and format data, as well as to manage the history of operations performed on the data.

A lightweight JavaScript library for essential feature engineering tasks in machine learning. Provides utilities for normalization, standardization, one-hot encoding and missing value handling. Designed for simplicity and performance in both Node.js and b

This is a simple package that provides a CSV parsing and validation utility. It uses the Papaparse library for parsing CSV data and supports optional validation using the Yup schema validation library.

A library designed to efficiently process large amounts of data in a streaming manner, without the need to store the entire dataset in memory.

A flow processor for handling various data transformation tasks.

Transfigure JSON. Provides JSON objects a fluent, Array-like interface for data transformations.