PrePostCov computes analytic covariances between multipoles of the pre-reconstruction galaxy power spectrum and the post-reconstruction two-point correlation function. It implements an explicit calculation of the cross-covariance between the pre-reconstruction power spectrum multipoles P_l(k) and the post-reconstruction correlation function multipoles xi_l(r), providing a Python interface that depends only on basic scientific libraries for this core functionality. PrePostConv also assembles the full covariance matrix by combining the P_l(k) and xi_l(r) auto-covariance blocks with the cross term, using external tools to handle the pre-reconstruction power spectrum and post-reconstruction correlation function pieces and offering front-end scripts to measure P(k), compute window matrices, and build complete covariance outputs from survey catalogs.