Data cleaning is something that eats hours if you do it manually. I built this tool to handle the boring parts automatically, stripping duplicates, catching nulls, fixing inconsistent formatting, flagging dodgy values. Paste your CSV in, get a clean version out, with a full log of everything that changed. Based on how I approach cleaning in pandas day to day.
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I built this as a practical revision tool when studying networking, then kept improving it. Put in any IP or CIDR range and it breaks down the subnet mask, host range, broadcast address, IP class, and whether it's public or private. Handy for anyone doing network planning or just learning subnetting. Covers the kind of stuff that comes up constantly in IT work.
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I built this to practice turning raw sales data into something actually useful to look at. It pulls together monthly revenue vs targets, product performance, and key metrics into one dashboard. The kind of thing a business would want at the end of a quarter instead of a spreadsheet full of numbers. Built with JS and Chart.js, based on the same output I'd generate from a pandas pipeline.
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I wanted to build something practical around password security so I made this. Type in a password and it tells you exactly why it's weak or strong entropy, estimated crack time, what it's missing. It runs entirely in the browser, nothing gets sent anywhere. Came out of an interest in how attackers actually approach brute force and dictionary attacks.