Schema-Inspector is a simple JavaScript object sanitization and validation module.
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Updated
Dec 3, 2024 - JavaScript
Schema-Inspector is a simple JavaScript object sanitization and validation module.
Make sense of your data
Chrome Managed Data Cleanup - https://chrome.google.com/webstore/detail/chrome-managed-data-clean/anfhmiaflneaeffhlmbcedfjakdlpleg
Data cleaning tool.
an interactive visualization of clinical trial schedule of events by participant
Visualize the level of completeness of a clinical database
Code examples for Chapter 6 of Data Wrangling with JavaScript
jQuery plugin for the address-validator.net API
A data analysis package made from scratch in JavaScript
Interactive bar chart showing the distribution of queries in a clinical trial
snipSmart is a minimal JS tool for extracting valid JSON or HTML/XML blocks from messy AI-generated content.
jQuery plugin for the email-validator.net API
Data visualisation on Impact of AID on Poverty Alleviation using D3.js and Tableau.
Bookmark_Cleaner is a Python tool designed to automatically scan, organize, and clean your browser bookmarks. It detects and removes duplicates, dead links, and empty folders, making your bookmark collection tidy and efficient. Ideal for anyone who wants to maintain a well-organized set of online resources.
🤖 Simplify WhatsApp Web integration with whaileys, a stable TypeScript/Javascript API fork, focused on core messaging features and reliable performance.
A web-based Text Truncator and Cleaner that allows users to upload text files, set token limits, and apply various cleaning options like removing special characters, numbers, punctuation, emojis, and converting text to lowercase. Ideal for quick text processing and cleanup tasks.
URLExtractify is a lightweight, web-based tool to extract URLs from pasted content efficiently. It allows users to remove duplicates, sort URLs alphabetically, and customize URL extraction preferences through a simple, intuitive interface.
View my digital CV! Designed by Xiaoying Riley
KNN-based movie & TV series recommender built from scraped Wiflix data (Node.js + Python)
🔍 Detect fraud in application data using machine learning and data visualization to uncover anomalies and enhance digital integrity.
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