There are 2 repositories under json-processing topic.
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.
An interactive front-end toolkit simplifying JSON, YAML, TOML, and XML data. Visualize, edit, 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)
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.
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.
Comprehensive product analysis and recommendation system with JSON data processing, visual analytics, and machine learning.
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.
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.
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.
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.
Backend API for the Bajaj Finserv Health Challenge, built with Express to process and filter JSON data, and deployed on Render
Tasks from my course Spring Data at SoftUni
📰 News Data Pipeline — End-to-end ETL project using Python & SQLite. Fetches live news data via REST API, transforms JSON, and runs analytics queries with full logging and modular design.
SoftUni course Databases Advanced - Entity Framework: All tasks with their solutions.
Singapore Routes Streamlit App
Command-line Kotlin application designed to monitor and evaluate remote patient readings, simulating a real-time alert system based on configurable health rules.
Examples on how to process json files in Python
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.
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)