DataFrog
Offline tool to fuzzy match, merge messy Excel files No-Code
DataFrog launched on January 29, 2026 with 4 votes, #5,239 of 14,584 launches that month and more than 75% of that year's launches.
What it does
Most data cleaning tools require uploading sensitive files to the cloud or learning complex formulas. DataFrog is different. It brings Python's powerful fuzzy logic into a simple, offline desktop app. Key Features: 1. Fuzzy Merge: Combine files even if names don't match 100% (e.g. 'Jon' vs 'John'). 2. Privacy First: Runs locally on your device. No data leaves your computer. 3. No-Code: Drag, drop, and clean. Built in a 9-day sprint to automate my job before mandatory military service.
The secure, offline tool to clean messy data, fix typos, and fuzzy-match lists using AI—right on your desktop. Existing solutions put your data at risk or require manual, error-prone work. Online data cleaners require uploading your sensitive files to their servers, where your data can be stolen or leaked. VLOOKUP fails on slight spelling variations. "Jon Smith" and "John Smith" are completely different to Excel. Identifying 'Ahmad' and 'Ahmed' as the same person is impossible in Excel without complex scripts. Join two files even if names aren't spelled perfectly. It's like VLOOKUP with a brain. Anonymize PII (emails, phones) instantly before sharing files. Keep sensitive data secure.…from ehabahmed2.github.io
Does a similar job
all alternatives →
A fast, hopefully accurate, fuzzy matching library written in Go2018 · github.com · ▲186Go library that provides fuzzy string matching optimized for filenames and code symbols in the style of Sublime Text, VSCode, IntelliJ IDEA et al. - sahilm/fuzzy
- FAFlatfile – a drop-in CSV / XLS importer for web apps2019 · flatfile.io · ▲54
Flatfile is the AI data preparation and migration software that helps teams extract, prepare, map, transform, and validate messy data.
Pandashells – Bringing the Python data stack to the shell prompt2015 · github.com · ▲89:panda_face: Bringing the python data stack to the shell prompt - robdmc/pandashells
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