There are 2 repositories under json-processing topic.
JSON processor for web use (jq port)
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.
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.
Demonstrates how to validate JSON documents against JSON schemas using Justify.
JSON 포멧(string, []byte)의 데이터를 golang 의 특정 struct 또는 map[string]interface{} 형태로 변환하여 동적으로 속성을 가공 가능하도록 도와줍니다.
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.
Tasks from my course Spring Data at SoftUni
SoftUni course Databases Advanced - Entity Framework: All tasks with their solutions.
Examples on how to process json files in Python
The dersnt is a function in the DropSuit NLP library for JavaScript and Node.js. It processes default object instances and returns derivative sentences, concatenated strings of words, and arrays of sentence words. It uses input nouns to locate sentences and uncover derivative nouns. dersnt is open-source and licensed under the Apache License 2.0.
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.
Simple XMLInputFactory implementation on top of JSON; just enough for Sprox (Java)