FINKER (Frequency Identification through Nonparametric Kernel Regression) identifies frequencies using nonparametric kernel regression, providing accurate estimates even with as few as 10 observations. It handles measurement uncertainties and supports multiband processing, making it valuable for astronomical and statistical applications. FINKER implements local linear and local constant regression, offers several kernel and bandwidth options (including Gaussian kernels with fixed, Silverman, Scott, and adaptive bandwidths), and remains robust to measurement errors in real-world datasets.

AutoSourceID-Light (ASID-L) analyzes optical imaging data using computer vision techniques that can naturally deal with large amounts of data. The framework rapidly and reliably localizes sources in optical images.