Version 0.2 The version contains significant enhancements, including: Much-improved feature-finding, merged from Daniel Allan's mr project (feature.py, replacing identification.py) with uncertainty estimation, along with tools for filtering, analyzing, and plotting trajectories Prediction framework for tracking particles whose motion is correlated between frames (Nathan Keim) KDTree-based linking, merged from Nathan Keim's branch of trackpy, which is 2X faster on typical data Numba-accelerated linking and feature-finding, falling back on pure Python if numba is not available Features for processing large data sets "out of core" (on disk) Access to different linking strategies through keyword arguments (Type help(link) or help(link_df) for details.) Simple, fast way to read and write data in files; easily extensible to formats used by individual research groups A set of examples and guides, provided separately