| ►Core ROOT classes | The Core classes of ROOT |
| Base ROOT classes | The Base classes of ROOT |
| Containers | The containers and generators the ROOT framework offers |
| ►The Geometry Package | |
| GDML tools | GDML tools for geometry classes |
| Geometry classes | The Geometry related classes |
| Materials | |
| ►Shapes | Shapes are geometrical objects that provide the basic modeling functionality |
| Tubes | |
| Cones | |
| Trapezoids | |
| Geometry builder | The Geometry builder related classes |
| Geometry painter | The Geometry painter, checker, overlap and track related classes |
| ►Graphics | The graphics related classes |
| ►Graphics' Backends | Graphics' Backends interface classes |
| Cocoa backend | Interface to MacOS native graphics system |
| Win32 backend | Interface to Windows graphics |
| X11 backend | Interface to X11 graphics |
| ►2D Graphics | The 2D graphics related classes |
| libAfterImage interface | Classes interfacing to libAfterImage |
| FITS file | Interface to FITS file |
| Graphics pad | The TPad related classes |
| Basic graphics | The low level graphics classes |
| graphviz interface | Interface to the graphing package graphviz |
| Graphics file output | Interfaces to various file output formats |
| Graphics attributes | The graphics attributes related classes |
| ►ROOT7 Graphics | Classes for ROOT7 graphics |
| ROOT7 Pad related classes | The ROOT7 Pad related classes |
| ROOT7 Base graphics classes | The ROOT7 Base graphics classes |
| ROOT7 Canvas painting classes | The ROOT7 Canvas painting classes |
| ROOT7 Graphics primitives | The ROOT7 Graphics primitives |
| ►ROOT7 RPad coordinate systems | The ROOT7 RPad coordinate systems |
| Typesafe Coordinates | These define typesafe coordinates used by RPad to identify which coordinate system a coordinate is referring to The origin (0,0) is in the RPad's bottom left corner for all of them |
| ►3D Graphics | The 3D graphics related classes |
| Event Display | The Event Display classes |
| Basic 3D graphics. | The basic 3D classes |
| OpenGL rendering | OpenGL rendering and utility classes |
| ►GUI | Graphical User Interface |
| ROOT Fit Panel | Classes forming the user interface of the Fit Panel in ROOT |
| ROOT Graphics Editor | Classes forming the Graphics Editor (GED) of ROOT and the basic classes of so-called object editors |
| ►Low level GUI widgets | All the low level widgets and built-in dialogs of GUI class library in ROOT |
| GUI Geometry | Several small geometry classes that implement dimensions (width and height), positions (x and y), insets and rectangles |
| GUI Builder | The GUI Builder classes |
| HTML visualizer | A very simple HTML browser |
| Events recorder | The event recorder |
| Session Viewer | Session Viewer as used in Proof |
| ►Web Widgets | A Graphical User Interface based on WEB technology |
| Browsable object | The browsable objects in the Web Gui |
| ►Web Display | A Graphical User Interface based on WEB technology |
| CEF Web Display | Classes for web display using the Chromium Embedded Framework (CEF) |
| QT5 Web Display | Classes for web display using QT5 |
| ROOT 6 Web Display | To display ROOT 6 canvases in the web browser |
| ►Histogram Library | A general description of the Histogram library is documented in the class TH1 |
| ►Painting classes | |
| ROOT 7 Histograms painting classes. | |
| Histograms and graphs painting classes. | |
| TSpectrum painting class. | |
| Histogram classes. | |
| Graph classes. | |
| Function classes. | |
| ROOT 7 histogram classes. | |
| Advanced spectra processing classes. | |
| TUnfold classes | |
| Input/Output Library | |
| ►Math | The ROOT Mathematical Libraries |
| Physics Vectors | Vector classes (2D, 3D and 4D / Lorentz vector) and their transformations |
| ►MathCore | The Core Mathematical Library of ROOT |
| ►Fitting and Parameter Estimation | Classes used for fitting (regression analysis) and estimation of parameter values given a data sample |
| Fit Method Classes | Classes describing Fit Method functions |
| Fit Data Classes | Classes for describing the input data for fitting |
| User Fitting classes | Main Classes used for fitting a given data set |
| ►Interface classes for Random number generation | Pseudo-random numbers generator classes and for generation of random number distributions |
| QuasiRandom number generators and distributions | Classes for generating QuasiRandom numbers and based on GSL |
| Goodness of Fit Tests | Classical one-dimensional goodness of git tests for unbinned data |
| ►Function Classes and Interfaces | Interfaces (abstract classes) and Base classes used in MathCore and MathMore numerical methods for describing function classes |
| Generic Function Evaluation Interfaces | Interface classes for evaluation of function object classes in one or multi-dimensions |
| Parametric Function Evaluation Interfaces. | Interfaces classes for evaluation of parametric functions |
| ►Numerical Algorithms | Numerical Algorithm classes from the MathCore and MathMore libraries |
| One-dimensional Minimization | Classes for one-dimensional minimization |
| ►Numerical Integration | Classes for numerical integration of functions |
| Numerical Monte Carlo Integration Classes | Classes implementing method for Monte Carlo Integration |
| Multi-dimensional Minimization | Classes implementing algorithms for multi-dimensional minimization |
| Numerical Differentiation | Classes for numerical differentiation |
| One-dimensional Root-Finding | Classes implementing algorithms for finding the roots of a one-dimensional function |
| Function Approximation (ChebyshevApprox) | Numerical algorithm from the MathMore library and implemented using the GSL library |
| Multidimensional ROOT finding | Classes for finding the roots of a multi-dimensional system |
| Interpolation Classes | Classes for interpolation of points |
| ►Statistical functions | Probability density functions, cumulative distribution functions and their inverses (quantiles) for various statistical distributions (continuous and discrete) |
| Probability Density Functions (PDF) | Probability density functions of various statistical distributions (continuous and discrete) |
| Cumulative Distribution Functions (CDF) | Cumulative distribution functions of various distributions |
| Statistical functions from truncated distributions | Statistical functions for the truncated distributions |
| Quantile Functions | Inverse functions of the cumulative distribution functions and the inverse of the complement of the cumulative distribution functions for various distributions |
| Special functions | Special mathematical functions |
| ►MathMore | The Mathematical library providing some advanced functionality and based on GSL |
| ►Numerical Algorithms | Numerical Algorithm classes from the MathCore and MathMore libraries |
| One-dimensional Minimization | Classes for one-dimensional minimization |
| ►Numerical Integration | Classes for numerical integration of functions |
| Numerical Monte Carlo Integration Classes | Classes implementing method for Monte Carlo Integration |
| Multi-dimensional Minimization | Classes implementing algorithms for multi-dimensional minimization |
| Numerical Differentiation | Classes for numerical differentiation |
| One-dimensional Root-Finding | Classes implementing algorithms for finding the roots of a one-dimensional function |
| Function Approximation (ChebyshevApprox) | Numerical algorithm from the MathMore library and implemented using the GSL library |
| Multidimensional ROOT finding | Classes for finding the roots of a multi-dimensional system |
| Interpolation Classes | Classes for interpolation of points |
| ►Statistical functions | Probability density functions, cumulative distribution functions and their inverses (quantiles) for various statistical distributions (continuous and discrete) |
| Probability Density Functions (PDF) | Probability density functions of various statistical distributions (continuous and discrete) |
| Cumulative Distribution Functions (CDF) | Cumulative distribution functions of various distributions |
| Statistical functions from truncated distributions | Statistical functions for the truncated distributions |
| Quantile Functions | Inverse functions of the cumulative distribution functions and the inverse of the complement of the cumulative distribution functions for various distributions |
| Special functions | Special mathematical functions |
| QuasiRandom number generators and distributions | Classes for generating QuasiRandom numbers and based on GSL |
| Matrix Linear Algebra | The ROOT Matrix Linear Algebra package |
| TMinuit | The Minuit Minimization package |
| Minuit2 Minimization Library | New Object-oriented implementation of the MINUIT minimization package |
| Legacy Physics Classes | Legacy physics classes |
| ►SMatrix Package | |
| Expression Template Classes | |
| Generic Template Functions | These functions apply for any type T, such as a scalar, a vector or a matrix |
| Vector Template Functions | These functions apply to SVector types (and also to Vector expressions) and can return a vector expression or a scalar, like in the Dot product, or a matrix, like in the Tensor product |
| Matrix Template Functions | These function apply to matrices (and also Matrix expression) and can return a matrix expression of a particular defined type, like in the matrix multiplication or a vector, like in the matrix-vector product or a scalar like in the Similarity vector-matrix product |
| ►SMatrix Storage Representation | Classes MatRepStd and MatRepSym for generic and symmetric matrix data storage and manipulation |
| Standard Matrix representation | Standard Matrix representation for a general D1 x D2 matrix |
| Matrix and Vector classes | Classes representing Matrices and Vectors of arbitrary type and dimension |
| Unuran | Universal Non Uniform Random number generator for generating non uniform pseudo-random numbers |
| VecOps | A "std::vector"-like collection of values implementing handy operation to analyse them |
| ►Monte Carlo | The Monte Carlo related packages |
| EG | Particle Data Group interface |
| Pythia6 | The Pythia6 interface |
| Pythia8 | The Pythia8 interface |
| HTTP server | THttpServer-related classes to provide HTTP protocol to ROOT application |
| ►PROOF | Classes defining the Parallel ROOT Facility, PROOF, a framework for parallel analysis of ROOT TTrees |
| PROOF kernel Libraries | The PROOF kernel libraries (libProof, libProofPlayer, libProofDraw) contain the classes defining the kernel of the PROOF facility, i.e |
| PROOF benchmark utilities | Set of utilities to benchmark a PROOF facility |
| XProofD client Library | The XProofD client library, libProofx, contain the classes providing the client to interact with the XRootD-based xproofd daemon |
| TMVA | The Multi Variate Analysis package |
| ►RooFit package | RooFit is a package for building likelihood models and fitting these to data |
| RooFit | RooFit main classes for building likelihood models, mainly PDFs |
| RooFit Core | RooFit core classes. These provide the infrastructure for building likelihood models |
| RooFit Legacy | Old RooFit classes |
| ►RooFit command arguments | These arguments can be passed to functions of RooFit objects |
| Arguments for plotOn functions | |
| Arguments for various constructors | |
| Arguments for fitting | |
| Arguments for generating data | |
| RooFit CUDA | RooFit CUDA support library |
| RooFit More | RooFit components that are only available if ROOT was built with the mathmore option |
| ►RooStats | RooStats is a toolkit for statistical tests built on top of RooFit |
| HistFactory | Factory classes to create RooFit workspaces from histograms |
| xRooFit | A high-level API for RooFit |
| RooFit Pythonizations | |
| ►RooFit Developer Documentation | How-to guides on how to extend RooFit with custom classes or to work on RooFit itself |
| RooBatchCompute library guide | Overview of the RooBatchCompute library |
| How to extend the use of Automatic Differentiation in RooFit | Developer guide on how to add support for Automatic Differentiation via code generation |
| Implement JSON I/O for a RooFit class with RooFit HS3 | Guide on how to add JSON IO for you RooFit classes |
| New RooFit TestStatistics usage notes | Notes on the new RooFit::TestStatistics classes |
| Dataframe | ROOT's RDataFrame allows to analyse data stored in TTrees with a high level interface |
| Tree Library | In order to store columnar datasets, ROOT provides the TTree, TChain, TNtuple and TNtupleD classes |
| ►Tutorials | A collection of C++ macros, Python scripts and notebooks helping to learn ROOT by example |
| Histograms tutorials | Examples showing the "histograms' classes" usage |
| Tree tutorials | Example code which illustrates how to use ROOT trees and ntuples |
| Dataframe tutorials | These examples show various features of RDataFrame: ROOT's declarative analysis interface |
| ►ROOT 7 tutorials | Various examples showing the ROOT 7 interface |
| RCanvas examples | These are RCanvas examples .. |
| ROOT 7 ntuple tutorials | Various examples showing the ROOT 7 ntuples |
| FOAM tutorials | Examples showing how to use FOAM |
| Containers tutorials | Examples showing the "containers' classes" usage |
| Event display tutorials | Examples showing the "Event display classes" usage |
| Geometry tutorials | Various ROOT geometry package examples |
| Fast Fourier Transforms tutorials | Example showing the Fast Fourier Transforms interface in ROOT |
| Fit Tutorials | These tutorials illustrate the main fitting features. Their names are related to the aspect which is treated in the code |
| RooFit Tutorials | These tutorials illustrate the main features of RooFit: the name of the examples and their short description help in figuring out their objective |
| Graphs tutorials | Examples showing the "graphs classes" usage |
| Graphics tutorials | Various examples showing the basic ROOT graphics |
| OpenGL tutorials | Various examples showing the OpenGL graphics in ROOT |
| Tutorials specific to Mac/Cocoa | Various examples showing graphics done with the Mac graphics system Cocoa |
| GUI tutorials | Example code which illustrates how to use the ROOT GUI |
| HistFactory Tutorials | These tutorials illustrate the usage of the histfactory |
| HTTP tutorials | Examples showing the HTTP interface |
| Image tutorials | Examples showing the TImage class usage |
| IO tutorials | These tutorials illustrate some of the capabilities of the ROOT IO subsystem |
| Math tutorials | Examples showing the Math classes |
| Matrix tutorials | Examples showing how to use TMatrix |
| Monte Carlo tutorials | Monte Carlo examples |
| Multicore tutorials | These examples aim to illustrate the multicore features of ROOT, such as thread awareness and safety, multithreading and multiprocessing |
| Net tutorials | Examples showing the net classes |
| Physics tutorials | Physics examples |
| PyRoot tutorials | Selected examples illustrating how to use ROOT's Python interface: PyROOT |
| Pythia tutorials | Examples showing the pythia usage |
| Quadratic programming package. | Example showing the usage of the quadratic programming package quadp |
| R tutorials | Examples showing the R interface |
| RooStats Tutorials | These tutorials illustrate the main features of RooStats |
| Spectrum tutorials | Examples showing the TSpectrum and TSpectrumPainter usage |
| TSPlot tutorials | This tutorial illustrates the use of class TSPlot |
| SQL tutorials | Examples showing the SQL classes |
| ►TMVA tutorials | Example code which illustrates how to use the TMVA toolkit |
| Envelope Tutorials | |
| TMVA Keras tutorials | Example code which illustrates how to use keras with the python interface of TMVA |
| TMVA PyTorch tutorials | Example code which illustrates how to use pytorch with the python interface of TMVA |
| TUnfold tutorials | Test programs for the classes TUnfold and related |
| Unuran tutorials | Examples showing unuran capabilities |
| VecOps tutorials | These examples show the functionalities of the VecOps utilities |
| FITS files interface tutorials | Examples showing the FITS file interface |
| XML tutorials | XML examples |
| ►Proof tutorials | These examples aim to illustrate the usage of PROOF |
| ProcFileElements | Class to hold information about the processed elements of a file |
| ProofAux | Selector used for auxiliary actions in the PROOF tutorials |
| ProofEvent | Selector for generic processing with Event |
| ProofEventProc | Selector to process trees containing Event structures |
| ProofFriends | Selector to process tree friends |
| ProofNtuple | Selector to fill a simple ntuple |
| ProofPythia | Selector to generate Monte Carlo events with Pythia8 |
| ProofSimple | Selector to fill a set of histograms |
| ProofSimpleFile | Selector to fill a set of histograms and merging via file |
| ProofStdVec | Selector for generic processing with stdlib collections |
| ProofTests | Auxilliary selector used to test PROOF functionality |
| ►Legacy tutorials | Legacy Tutorials |
| Containers tutorials | Examples showing the "containers' classes" usage. |
| Multi Layer Perceptron tutorials | Examples showing the Multi Layer Perceptron classes |
| PyRoot tutorials | Examples showing how to write python script for Root |
| Regexp tutorials | Examples for ROOT's regular expressions |
| Thread tutorials | Thread examples |
| R Interface for Statistical Computing | |
