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.

GWToolbox simulates gravitational wave observations for various detectors. The package is composed of three modules, namely the ground-based detectors (and their targets), the space-borne detectors (and their targets) and pulsar timing arrays (PTA). These three modules work independently and have different dependencies on other packages and libraries; failed dependencies met in one module will not influence the usage of another module. GWToolbox can accessed with a web interface (gw-universe.org) or as a python package (https://bitbucket.org/radboudradiolab/gwtoolbox).