ROOT 6.36.00 is out!

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Dear all,

We are proud to announce the production release ROOT 6.36.00 :rocket:

The new ROOT comes with many great features that have the potential of making you even more productive :trophy: - see release notes and highlights below! The effort made by the contributors, experiments and core developers is testified by the 202 items in the ROOT trackers that have been addressed for this release.

:snake: Python Interface

  • Unified Histogram Interface (UHI): ROOT histograms now implement UHI ,enhancing interoperability with external python libraries for plotting and enabling pythonic indexing and slicing for histogram manipulation - see the doc here!
  • The interoperability of ROOT and NumPy arrays was enhanced in many areas.

:floppy_disk: RNTuple

  • The RNTuple core API moved from experimental to production, out of the Experimental namespace, and the RNTuple libraries are now always built with ROOT (i.e., no need to explicitly enable the root7 build option anymore). User code using the production API will now benefit from ROOT’s regular API stability.
  • Production classes include the RNTupleReader and RNTupleWriter, and associated classes. Some advanced classes, such as the RNTupleParallelWriter, will be moved to production in a later release.

:books: Documentation

  • A veritable Tutorials Renovation Campaign took place: it is now more intuitive to navigate through the individual parts of the ROOT tutorials, our collection of code examples. Some tutorials were added to showcase the new features, some were modernized to modern C++ standards and some were moved to the legacy folder.

:chart_increasing: RDataFrame

  • Local and distributed APIs are now made uniform, and the distributed RDataFrame module is out of the Experimental namespace :partying_face:
  • RNTuple processing has been improved with automatic conversion of collection types to the ergonomic ROOT::RVec, and you can now save the modified RNTuple with Snapshot
  • Many improvements to the well-known RDataFrame functionalities were added, including parsing of CSV files, Display, Report, AsNumpy, reading pandas dataframes and numpy arrays.

:bar_chart: RooFit

  • Creating HistFactory models from many histograms is up to an order of magnitude faster. In an ATLAS example, the workspace creation time went from 15 minutes to 1:30 minutes!
  • Automatic differentiation, powered by Clad, is transparently available to users, providing improved numerical stability as well as much more runtime performance.

:technologist: C++ Interpreter

  • Existing code can now be interpreted and just-in-time compiled according to the C++23 standard for the platforms that support it.

You can find ROOT’s 6.36.00 release on GitHub the ROOT’s website.

As previously announced, the 6.36 cycle supersedes the STS 6.34 one, which will be stopped in June.

Cheers,

Danilo for the ROOT Project

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