We present the Mathematica package SummerTime for arbitrary-precision computation of sums appearing in the results of DRA method (Lee, 2010). So far these results include the following families of the integrals: 3-loop onshell massless vertices, 3-loop onshell mass operator type integrals, 4-loop QED-type tadpoles, 4-loop massless propagators (Lee et al., 2010; Lee and Smirnov, 2011; Lee et al., 2011, 2012). The package can be used for high-precision numerical computation of the expansion of the integrals from the above families around arbitrary space-time dimension. In addition, this package contains convenient tools for the calculation of multiple zeta values, harmonic polylogarithms and other transcendental numbers expressed in terms of nested sums with factorized summand. Program summary Program title: SummerTime Catalogue identifier: AEZU_v1_0 Program summary URL: http://cpc.cs.qub.ac.ukisummaries/AEZU_v1_0.html Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 20950 No. of bytes in distributed program, including test data, etc.: 333223 Distribution format: tar.gz Programming language: Wolfram Mathematica. Computer: Any with Wolfram Mathematica installed. Operating system: Any supporting Wolf ram Mathematica. RAM: Depending on the complexity of the problem Classification: 4.4, 4.7, 5. Nature of problem: Arbitrary-precision evaluation of the 8-expansion coefficients of the multiloop integrals obtained via DRA method [1]. Arbitrary-precision evaluation of the Goncharov's polylogarithms and related function. Solution method: Multiple nested sums are calculated without nested loops using factorized form of the summand. Slowly convergent sums are treated using convergence acceleration. Required working precision, number of terms and similar parameters are determined by automatic analysis of the summand. Restrictions: Depending on the complexity of the problem, limited by memory and CPU time. Running time: From a few seconds to a few hours, depending on the complexity of the problem. (C) 2016 Elsevier B.V. All rights reserved.