Change detection within unequally spaced and non-stationary time series is crucial in various applications, such as environmental monitoring and satellite navigation. The jumps upon spectrum and trend (JUST) is developed to detect potential jumps within the trend component of time series segments. JUST can simultaneously estimate the trend and seasonal components of any equally or unequally spaced time series by considering the observational uncertainties or measurement errors. JUST and its modules can also be applied to monitor vegetation time series in near-real-time. Herein, the details of the open-source software package for JUST, developed in both MATLAB and Python, are presented.

在间隔不固定且不稳定的时间序列内进行变化检测在诸如环境监测和卫星导航等各种应用中至关重要。频谱和趋势跃迁（JUST）的开发目的是检测时间序列分段的趋势分量内的潜在跃迁。通过考虑观测不确定性或测量误差，JUST可以同时估计任何等距或不等距时间序列的趋势和季节分量。JUST及其模块还可用于近实时监测植被时间序列。在此，将介绍在MATLAB和Python中开发的JUST开源软件包的详细信息。