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The boost-histogram package

Schreiner, Henry Fredrick; Dembinski, Hans Peter

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  "description": "<p>The boost-histogram library provides first-class histogram objects in Python. You can compose axes and a storage to fit almost any problem. You can fill, manipulate, slice, and project then, and pass them between other Scikit-HEP libraries like Uproot4, mplhep, and histoprint. Boost-histogram is meant to be the &quot;NumPy&quot; of histogram libraries that others can build on; the &quot;pandas&quot; of histograms is &quot;Hist&quot;, a physicist friendly front-end that extends and expands boost-histogram to do plotting and more. An early version of Hist is shown for the first time here.</p>", 
  "license": "", 
  "creator": [
      "affiliation": "Princeton University", 
      "@type": "Person", 
      "name": "Schreiner, Henry Fredrick"
      "affiliation": "Max-Planck-Institute for Nuclear Physics, Heidelberg", 
      "@type": "Person", 
      "name": "Dembinski, Hans Peter"
  "url": "", 
  "datePublished": "2020-07-17", 
  "@type": "PresentationDigitalDocument", 
  "@context": "", 
  "identifier": "", 
  "@id": "", 
  "workFeatured": {
    "url": "", 
    "@type": "Event", 
    "name": "PyHEP 2020 Workshop"
  "name": "The boost-histogram package"
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