Kernel Density Estimate for cdf

Usually one estimates a distribution (which parametric, semi-parametric, or non-parametric methods), which then has a CDF.

Why do you need the CDF specifically? If you want to sample from the estimated distribution, there is usually a more direct way. Eg for KDE, there is a simple two-step method using the kernel.