Welcome to Antnotator

A tool for precise binary annotation of time-series data, running entirely on your machine.

Accurate annotation is key for understanding patterns, detecting anomalies, and training reliable machine learning models. By labeling your data, you add context that automated systems alone cannot infer, turning raw data into actionable insights. Whether analyzing sensor readings, financial trends, or physiological signals, Antnotator makes it fast, efficient, and fully private.

Use the top menu buttons to get started
Plot Settings
Select X Column (time, index)
Select Y Columns
Slicing Settings
For better plotting performance, large datasets are sliced into individual, overlapping sections. Window Size defines the number of data points contained in one slice, Overlap is the fraction of points also used in the adjacent slices, and Subsample lets you reduce the computational load by only plotting every n-th data point without reducing Window Size. We recommend plotting up to 2000-3000 data points at a time, e.g., with Window Size = 10,000 and Subsample = 4.