OutlierDetector
Clean data starts with catching the unusual.
4 followers
Clean data starts with catching the unusual.
4 followers
Your data never leaves your browser. Free outlier & anomaly detection tool — Z-Score, IQR, MAD, Grubbs & Isolation Forest. Upload CSV or Excel. Private by design, runs on your device and no signup required.
Hey everyone! 👋
I built OutlierDetector out of frustration.
Every time I needed to check a dataset for anomalies, I had to either open Python, paste data into an AI tool, or wrestle with Excel formulas. None of it felt right — especially when the data was sensitive. Sending financial or business data to a server just to find a few odd values never sat well with me.
So I built a tool that runs entirely in your browser.
Your data never leaves your device.
What started as a simple Z-score calculator evolved into a full detection engine:
• Z-Score, IQR, MAD, Grubbs (univariate)
• Isolation Forest (multivariate across columns)
You can upload CSV, Excel, or TSV files, tweak sensitivity, visualize outliers, and export results — all without signing up.
The idea is simple:
clean data starts with catching the unusual — and it should be accessible to everyone, not just people who code.
Would love your feedback 🙏
What would make this part of your daily workflow?