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The poolscape in statistical analysis has become very rich, leaving researchers spoiled for choice with a wide array of powerful options for deriving meaning and insight from data. These range from suites of commercial software through boutique open-source statistical tools, which now see application in many domains, from academe to industry and government applications. The paper discusses some of the most appropriate and best tools for the analysis of statistics in 2024, recent features, and some recent developments.