This looks like a very useful project. There is also scikits-bootstraps [1]. Personally I prefer the flat package namespace of resample (I am not a fan of the 'scikits' namespace package) but I still think it would be great to contact the author to know if he would be interested in joining efforts.
What currently lacks from both projects is a good sphinx-based documentation that explains in a couple of paragraphs with examples what are the different non-parametric inference methods, what are the pros and cons for each of them (sample complexity, computation complexity, kinds of inference, bias, theoretical asymptotic results, practical discrepancies observed in the finite sample setting, assumptions made on the distribution of the data...) and ideally the doc would have reference to examples (using sphinx-gallery) that would highlight the behavior of the tools in both nominal and pathological cases. [1] https://github.com/cgevans/scikits-bootstrap -- Olivier
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