FIPS is a cross-platform FITS viewer with a responsive user interface. Unlike other FITS viewers, FIPS uses GPU hardware via OpenGL to provide functionality such as zooming, panning and level adjustments. OpenGL 2.1 and later is supported. FIPS supports all 2D image formats except floating point formats on OpenGL 2.1. FITS image extension has basic limited support.

light-curve implements the extraction of numerous light curve features suitable for processing alert and archival data for the current ZTF and future Vera Rubin Observatory LSST photometric surveys. These high-performance irregular time series processing tools are written in Rust and Python.

Coniferest implements anomaly detection algorithms and interactive active learning tools. The centerpiece of the package is an Isolation Forest algorithm, which operates by constructing random decision trees. Coniferest also offers two modified versions for active learning: AAD Forest and Pineforest. The AAD Forest modifies the Isolation Forest by reweighting its leaves based on responses from human experts, providing a faster alternative to the ad_examples package. Pineforest employs a filtering algorithm that builds and dismantles trees with each new human-machine iteration step. The Coniferest package provides a user-friendly interface for conducting interactive human-machine sessions; the code has been used for anomaly detection with a particular focus on light-curve data from large time-domain surveys.