Writing An Algorithm


Mantid’s plugin architecture has been engineered so that it is easy for a user to write their own algorithm. This page is a primer for the user about to write their first algorithm and assumes no great knowledge of C++. It covers the basics, with links to more advanced options where appropriate. Note if you are looking to add a plugin fit function rather than an algorithm then see Writing a Fit Function. There is special description for the case when you are looking to add a custom MD conversion plugin.

Alternatively, you can implement your algorithm in Python. See Python Vs C++ Algorithms for a comparison of Mantid’s two programming languages.

All algorithms in Mantid inherit from a base Algorithm class, which provides the support and services required for running a specific algorithm and greatly simplifies the process of writing a new one.

Getting Started

The first step is to create a new directory, with any name of your choice, under your MantidInstall directory (on Windows, probably located at C:\\MantidInstall). Alternatively, you can just do everything in the UserAlgorithms directory. The UserAlgorithms directory contains a simple Python script called createAlg.py. This can be used to create a new ‘empty’ algorithm - to create one called ‘MyAlg’ you should type python createAlg.py myAlg category, where category is an optional argument to set the algorithm’s category. To do the same thing ‘by hand’, create files called MyAlg.h and MyAlg.cpp and paste in the following boilerplate C++ code (changing each occurrence of ‘MyAlg’ to your chosen algorithm name):

Header file (MyAlg.h):

#ifndef MYALG_H_
#define MYALG_H_

#include "MantidAPI/Algorithm.h"

class MyAlg : public Mantid::API::Algorithm
  /// (Empty) Constructor
  MyAlg() : Mantid::API::Algorithm() {}
  /// Virtual destructor
  virtual ~MyAlg() {}
  /// Algorithm's name
  virtual const std::string name() const { return "MyAlg"; }
  /// Algorithm's version
  virtual const int version() const { return (1); }
  /// Algorithm's category for identification
  virtual const std::string category() const { return "UserDefined"; }

  /// Initialisation code
  void init();
  /// Execution code
  void exec();

#endif /*MYALG_H_*/

Source file (MyAlg.cpp):

#include "MyAlg.h"

// Register the algorithm into the AlgorithmFactory

void MyAlg::init()

void MyAlg::exec()

At this point you will already have something that will compile and run. To do so (on Windows), copy the files build.bat & SConstruct from UserAlgorithms into the directory containing your code and execute build.bat. If you then start MantidPlot your algorithm will appear in the list of available algorithms and could be run. But, of course, it won’t do anything of interest until you have written some algorithm code…

Coding the Algorithm

You will see that the algorithm skeletons set up in the last section contain two methods/functions/subroutines called init and exec. It will be no surprise to discover that these will, respectively, contain the code to initialise and execute the algorithm, which goes in the .cpp file between the curly brackets of each method. Note that these are private methods (i.e. cannot be called directly); an algorithm is run by calling the base class’s initialize() and execute() methods, which provide additional services such as the validation of properties, fetching workspaces from the AnalysisDataService, handling errors and filling the workspace histories.


The initialization (init) method is executed by the FrameworkManager when an algorithm is requested and must contain the declaration of the properties required by the algorithm. Atypically, it can also contain other initialization code such as the calculation of constants used by the algorithm, so long as this does not rely on the values of any of the properties.

Calls to the declareProperty method are used to add a property to this algorithm. See the properties page for more information on the types of properties supported and the example algorithms in UserAlgorithms (especially PropertyAlgorithm and WorkspaceAlgorithm) for further guidance on how to use them.

For the simple types (integer, double or string), the basic syntax is:


An optional validator or directional argument (input, output or both) can also be appended. The syntax for other property types (WorkspaceProperty & ArrayProperty) is more complex - see the properties page or the example algorithms in UserAlgorithms for further details.


Fetching properties

Before the data can be processed, the first task is likely to be to fetch the values of the input properties. This uses the getProperty method as follows:

TYPE myProperty = getProperty("PropertyName");

where TYPE is the type of the property (int, double, std::string, std::vector…). Note that the value of a WorkspaceProperty is a shared pointer to the workspace, which is referred to as Mantid::API::Workspace_sptr or Mantid::API::Workspace_const_sptr. The latter should be used for input workspaces that will not need to be changed in the course of the algorithm.

If a handle is required on the property itself, rather than just its value, then the same method is used as follows:

Mantid::Kernel::Property* myProperty = getProperty("PropertyName");

This is useful, for example, for checking whether or not an optional property has been set (using Property’s isDefault() method).

Creating the output workspace

Usually, the result of an algorithm will be stored in another new workspace and the algorithm will need to create that new workspace through a call to the WorkspaceFactory. For the (common) example where the output workspace should be of the same type and size as the input one, the code would read as follows:

Mantid::API::Workspace_sptr outputWorkspace = Mantid::API::WorkspaceFactory::Instance().create(inputWorkspace);

where inputWorkspace is a shared pointer to the input workspace.

It is also important to, at some point, set the output workspace property to point at this workspace. This is achieved through a call to the setProperty method as follows:


where outputWorkspace is a shared pointer to the created output workspace.

Using workspaces

The bulk of most algorithms will involve the manipulation of the data contained in workspaces and information on how to interact with these is given here. The more advanced user may also want to refer to the full workspace documentation.

Those familiar with C++ should make use of private methods and data members to break up the execution code into more manageable and readable sections.

Further Features

The advanced user is referred to the full documentation page for the Algorithm base class to explore the full range of methods available for use within an algorithm. A few aspects are highlighted below.

Child Algorithms

Algorithms may wish to make use of the functionality of other algorithms as part of their execution. For example, if a units change is required the ConvertUnits algorithm could be used. Mantid therefore has the concept of a child algorithm and this is accessed through a call to the createChildAlgorithm method as follows:

Mantid::API::Algorithm_sptr childAlg = createChildAlgorithm("AlgorithmName");

This call will also initialise the algorithm, so the algorithm’s properties can then be set and it can be executed:

childAlg->setPropertyValue("number", 0);


The g_log object enables access to the logging facilities of Mantid, and is an invaluable tool in understanding the running of your algorithms.

Enhancing asynchronous running

Any algorithm can be run asynchronously (e.g. by MantidPlot) without modification. However, some features are only enabled if code is added within the exec() method. Algorithm::interruption_point() should be called at appropriate intervals so that the algorithm’s execution can be interrupted. Algorithm::progress(double p) reports the progress of the algorithm. p must be between 0 (start) and 1 (finish).


It is fine to throw exceptions in your algorithms in the event of an unrecoverable failure. These will be caught in the base Algorithm class, which will report the failure of the algorithm.

Validation of inputs

Validators allow you to give feedback to the user if the input of a property is incorrect (for example, typing non-numeric characters in a number field).

For more advanced validation, override the Algorithm::validateInputs() method. This is a method that returns a map where:

  • The key is the name of the property that is in error.
  • The value is a string describing the error.

This method allows you to provide validation that depends on several property values at once (something that cannot be done with IValidator). Its default implementation returns an empty map, signifying no errors.

It will be called in dialogs after parsing all inputs and setting the properties, but before executing. It is also called again in the execute() call, which will throw if this returns something.

In the MantidPlot GUI, this will set a “star” * label next to each property that is reporting an error. This makes it easier for users to find where they went wrong.

If your validateInputs() method validates an input workspace property, bear in mind that the user could provide a WorkspaceGroup (or an unexpected type of workspace) - when retrieving the property, check that casting it to its intended type succeeded before attempting to use it.