Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.

Java API for JSON Processing (JSON-P)

An interactive front-end toolkit simplifying JSON, YAML, TOML, and XML data. Visualize, edit, convert formats, and perform real-time data manipulations. Empower your data-driven apps with user-friendly data processing and interactive visualization.

JSON processor for web use (jq port)

Command line processor for YAML/JSON files using Jsonnet

Data-Splitter is a Python script designed to split a large CSV file containing data into three different formats: JSON, a database table, and another CSV file. The script ensures a random distribution of data across the three output formats based on custom-defined ratios.

Scripts to process the RICO dataset, used for a CHI '20 paper.

Modern JSON processor with readable Kotlin syntax.

Demonstrates how to validate JSON documents against JSON schemas using Justify.

An automated system for processing customer orders from JSON input, validating data, and synchronizing with a database while managing errors and outputs.

JSON 포멧(string, []byte)의 데이터를 golang 의 특정 struct 또는 map[string]interface{} 형태로 변환하여 동적으로 속성을 가공 가능하도록 도와줍니다.

Simple JSON library for Java

Midterm and Final assignments of the course "Big Data Mining (52002)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science. Focuses on analyzing massive datasets using Python, SQL, cloud computing, and network analysis. Includes project guidelines for scalable data mining techniques and distributed computing.

A flexible JSON transformation toolkit designed to standardize and restructure JSON data for seamless XML conversion, addressing the strict ordering requirements of SOAP-based services. Perfect for ensuring consistent data retrieval from MongoDB/Mongoose for reliable web service integration.

The dnkscr function is a part of the DropSuit NLP library, it's a JavaScript and Node.js function that extracts derivative nouns from a given input string or json object and returns the count of scores for each root key. It's open-source and available under the Apache License 2.0.

This repository provides a tool to convert JSON data to Excel format (.xlsx). It allows you to easily transform structured JSON data into a well-organized spreadsheet for better analysis and visualization.

Dynamic generator for Oracle MERGE scripts aligned to Oracle Utilities Application Framework (OUAF) standards, handling Maintenance Object (MO) JSON parsing, key-based ON clauses, and full datatype mappings.

Backend API for the Bajaj Finserv Health Challenge, built with Express to process and filter JSON data, and deployed on Render

Examples on how to process json files in Python