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100% Client-side bulk email list hygiene tool. Features include sequential file processing, smart auto-correction for typos (e.g., gamil to gmail), duplicate removal, and domain-based filtering. Privacy-first architecture: your email lists never leave your browser.
A Python automation tool that cleans CSV datasets by removing blank rows, standardizing values, eliminating duplicates, and generating cleaning reports.
A simple, user-friendly web application for cleaning CSV files. Built with Python and Streamlit, this app helps you quickly remove duplicate rows, handle missing values, reset indices, and optionally remove outliers from numeric columns.
Kramata — clean messy CSV & Excel the same way, every time. A reproducible, no-code data cleaner for Windows (a friendly Power Query / VLOOKUP alternative). Website + downloads.
A Python automation tool that cleans, formats, and analyzes CSV files by removing duplicates, handling missing values, and generating clean output reports.
llm-data-cleaner is a zero-dependency TypeScript package that safely parses, repairs, and normalizes messy or broken JSON and CSV/Tabular outputs generated by Large Language Models (OpenAI, Claude, Ollama, Llama, Gemini).
Clean messy CSV and JSON data from the command line — trim whitespace, normalize headers, fix numbers and dates, and dedupe rows, with a before/after diff report. Zero dependencies.