Running scripts

OVITO’s scripting interface serves two main purposes: It enables you to automate visualization and analysis tasks and to extend the program (e.g. by adding your own data modification or analysis functions). The way you write a script and run it depend on the intended purpose. The following list gives an overview of the different ways scripts are being used within OVITO:

  1. Programmatically execute program functions: Scripts can invoke program actions like a human user does in the graphical interface. You typically write a Python script file containing the commands using an external text editor. The script file is executed by choosing Run Script File from the Scripting menu of OVITO. The script can automatically insert modifiers and configure them, for example. Or it may access the result of the current data pipeline and write it to an output file in a custom format.
  2. Batch-processing: Batch-processing scripts also contain instructions that invoke program functions. However, they are meant to be run from the command line without any user interaction. A batch-processing script is therefore responsible for all actions from beginning to end: importing the simulation data first, optionally modifying it using OVITO’s modifier system, and finally exporting or rendering the results. Batch scripts are typically executed using the ovitos script interpreter, which will be introduced in the next section. This allows you to leverage OVITO’s file I/O and data analysis functions in a fully automated manner, for example to process a large number of simulation files on a remote computing cluster and perform complex analysis tasks.
  3. User-defined data modifiers: OVITO’s scripting framework also gives you the possibility to develop new types of modifiers, which can manipulate or analyze simulation data in ways not covered by any of the built-in standard modifiers provided by the program. So-called Python script modifiers (see Writing new modifiers section) participate in the data pipeline system of OVITO and behave like the built-in modifiers. A Python script modifier essentially consists of a single Python script function named modify(), which you define. It is executed automatically by the system whenever the data pipeline is evaluated. This is in contrast to the command scripts described above, which are executed explicitly by the user.
  4. User-defined viewport overlays: A Python script overlay is a user-defined script function that gets called by OVITO every time a viewport is repainted or an image is rendered. This allows you to amend or enrich images or movies rendered by OVITO with custom graphics or text, e.g., to include additional information like a scale bar.

Note that Python script modifiers are meant to be used from within the graphical user interface, but under certain circumstances it may also make sense to define them in non-interactive scripts (see PythonScriptModifier class).

OVITO’s Python interpreter

OVITO comes with an embedded script interpreter, which can execute programs written in the Python language. The current version of OVITO is compatible with the Python 3.4 language standard. You typically execute batch Python scripts from the terminal of your operating system using the ovitos script interpreter that is installed with OVITO:

ovitos [-o file] [-g] [] [args...]

The ovitos program is located in the bin/ subdirectory of OVITO for Linux, in the directory of OVITO for macOS, and in the main application directory on Windows systems. It should not be confused with ovito, the main program which provides the graphical user interface.

Let’s assume we’ve used a text editor to write a simple Python script file named

import ovito
print("Hello, this is OVITO %i.%i.%i" % ovito.version)

We can then execute the script from a Linux terminal as follows:

me@linux:~/ovito-2.9.0-x86_64/bin$ ./ovitos
Hello, this is OVITO 2.9.0

By default, the ovitos script interpreter displays only console output and no graphical output. This allows running OVITO scripts on remote machines or computing clusters that don’t possess a graphics display. The ovitos program behaves like a standard Python interpreter. Any command line arguments following the script’s name are passed to the script via the sys.argv variable. Furthermore, it is possible to start an interactive interpreter session by running ovitos without any arguments.

Preloading program state

The -o command line option lets ovitos load an .ovito state file before executing the script. This allows you to preload an existing visualization setup that your have previously prepared using the graphical version of OVITO and which was saved to a .ovito file. This can save you programming work, because modifiers, parameters and the camera setup get already loaded from the state file and don’t need to be set up programatically in the script anymore.

Running scripts in graphical mode

The -g command line option activates the graphical mode. Then OVITO’s main window is shown and you can follow your script’s actions as they are being executed in the user interface. This is useful, for instance, if you want to visually inspect the results of your script during the development phase.

Number of parallel threads

OVITO uses all available processor cores by default to perform computations. To restrict OVITO to a certain number of parallel threads, use the --nthreads command line parameter, e.g. ovitos --nthreads 1

Third-party Python modules

The embedded script interpreter of OVITO is a preconfigured version of the standard CPython interpreter with an integrated ovito Python package. This makes it possible to run scripts both within the graphical program OVITO as well as through the ovitos command line interpreter. However, the embedded interpreter shipping with OVITO includes only the NumPy, matplotlib, and PyQt5 packages as preinstalled extensions.

If you want to call other third-party Python modules from your OVITO scripts, it may be possible to install them in the ovitos interpreter using the normal pip or setuptools mechanisms (e.g., run ovitos -m pip install <package> to install a module via pip).

Installing Python extensions that include native code (e.g. Scipy) in the embedded interpreter will likely fail however. In this case it is recommended to build OVITO from source on your local system. The graphical program and ovitos will then both make use of your system’s standard Python interpreter instead of the built-in interpreter. This makes all modules that are installed in your Python interpreter accessible within OVITO and ovitos as well. How to build OVITO from source is described on this page.

Using the ovito package from other Python interpreters

The ovito Python package can also be imported by standard Python scripts running in an external Python interpreter. However, because this module contains native extensions, it must be compiled specifically for the Python interpreter being used. Since there is a chance that the precompiled version of the module shipping with the binary OVITO installation is not compatible with your Python interpreter, it might thus be necessary to build OVITO from source. Make sure you link against the Python interpreter which you are going to run your scripts with.

Once the graphical program and the ovito Python extension module have been built, you can make the module loadable from your Python interpreter by adding the following directory to the PYTHONPATH:

Platform: Location of ovito package relative to build path:
Windows plugins/python/
Linux lib/ovito/plugins/python/