SmoothiePy v0.1.0-alpha Early Access

Includes first filters:

One-Dimensional Filters

• Offset Filter: Adds a constant offset to the data
• Simple Moving Average: Computes the arithmetic mean over a window
• Weighted Moving Average: Applies linearly decreasing weights
• Gaussian Average: Applies a Gaussian weighting function
• Median Average: Computes the median of values in a window
• Exponential Moving Average: Applies exponential weighting
• Cumulative Moving Average: Computes the cumulative average
• Fixation Smooth Filter: Sort of Deadband filter. Specialized for fixation-like data (e.g., eye tracking)
• Multi-Pass Moving Average: Applies multiple passes of a specified moving average type

Two-Dimensional Filters

Each 1D filter is also available in a 2D version, allowing you to smooth data in two dimensions (e.g., x-y coordinates).