Homomorphic Encryption (HE) enables third parties to process data without requiring a plaintext access to it. Its future is promising to solve Cloud Computing security issues. Still, HE is not yet usable in real cases due to complexity issues. For every new HE scheme, evaluation is of primary importance, but performances (execution time and memory cost) for various sets of parameters are currently difficult to estimate ahead of practical implementations. This paper introduces PAnTHErS, a Prototyping and Analysis Tool for Homomorphic Encryption Schemes that alleviates the need for implementation to estimate the performances of any new HE scheme. PAnTHErS supports parametric modeling of HE schemes and provides analysis features. In this paper, PAnTHErS is illustrated over some HE schemes and shows promising results.