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.
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-httpoption. The programroot-configmust 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.
To try DatABriCxx out, have a look at the examples.