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DatABriCxx - Modular data analysis with C++11 and CERN ROOT

DatABriCxx is a modular C++11 data analysis framework. It uses so-called "brics" as building blocks.

Note: This project is still under heavy development. The API is subject to change at any time, documentation (as yet) mostly non-existent. Use at your own risk! Proper conceptual and API documentation are most definitely on the to do list - however, features and bug-fixes required by the initial users currently have take priority.

DatABriCxx uses the CERN ROOT framework internally for class loading, reflection, and related tasks. However DatABriCxx is written I/O- and task-agnostic. However, while support for ROOT files, histograms and similar is included, you are free to use other I/O formats and not to use any ROOT classes in your DatABriCxx applications.

Installation

Dependencies: DatABriCxx requires

  • A C++11 compatible C++ compiler (GCC >= v4.8 or Clang >= v3.4 will do)

  • The CERN ROOT framework >= v6.0.0. ROOT must be built with the --enable-http option. The program root-config must be on your $PATH.

DatABriCxx uses the GNU Autotools/Automake for build and installation, so just use the usual

./autogen.sh && ./configure && ./make install

to build and install. DatABriCxx supports parallel compilation, you may want to use make -j8 or so to speed things up.

To install DatABriCxx in your home directory (instead of /usr/local), e.g. in $HOME/my/sw/dir, set the installation prefix as desired and modify your paths:

./autogen.sh
./configure --prefix="$HOME/my/sw/dir"
export PATH="$HOME/my/sw/dir/bin:${PATH}"
export LD_LIBRARY_PATH="$HOME/my/sw/dir/lib:$LD_LIBRARY_PATH"
make -j8 install

On OS-X, use $DYLD_LIBRARY_PATH instead of $LD_LIBRARY_PATH.

Examples

To try DatABriCxx out, have a look at the examples.