Downloads

Besides compiling itom from the sources, there are binaries for the Windows version of itom (32/64bit). These binaries contain the core application of itom together with a small selection of plugins and most designer plugins that provide the plot and figure widgets of itom.

Repository & Direct Downloads

Windows: Choose either End-User Setup OR Developer Setup OR Git-clone the Source
Linux: (Fedora, Ubuntu, Raspbian) Clone source repository and build (Linux instructions)
Mac: (OS X) Clone git source code (MacOS instructions)

The End-User Setup version includes itom and the following components:

Version 3.1.0

  • compiled using Qt5.9.0
  • Python 3.6.1
  • openCV 3.2.0
  • QScintilla 2.10
  • Pip 9.0.1
  • Numpy 1.13.3+mkl
  • Scipy 1.0.0
  • six 1.11.0
  • pytz 2017.2
  • Matplotlib 2.0.2
  • Frosted 1.4.1.Post2
  • PyParsing 2.2.0
  • dateutil 2.6.1
  • Pies 2.6.7
  • cycler 0.10.0
  • scikit-image 0.13.1
  • decorator 4.1.2
  • networkx 2.0
  • Pillow 4.3.0
  • dask 0.15.4
  • toolz 0.8.2
  • olefile 0.44
  • PyWavelets 0.5.2
  • PointCloudLibrary 1.8.0
  • VTK 7.1.1

Other packages can easily be downloaded and installed using the integrated Python package manager.

The current version 3.1.0 is available from

Important

Error message regarding PYTHONHOME variable
If a new itom setup version is installed on a computer with an already installed itom and Python can not be started, it may be a problem with python environment variables. First, delete this variable, reboot your system und install itom again.

Note

Error message from Python packages
If some Python packages (matplotlib, scipy, numpy) return an error message that a dll-file can not be loaded, the Visual C++ Redistributable is not correctly installed. Try to reinstall it. The current version can be downloaded here: https://www.microsoft.com/de-de/download/details.aspx?id=48145

Version 3.0.0

  • Qt5.6.1-1
  • Python 3.6.1
  • openCV 3.1.0
  • QScintilla 2.9.1
  • Pip 9.0.1
  • Numpy 1.11.3 + MKL
  • Scipy 0.19.0
  • six 1.10.0
  • pytz 2017.2
  • Matplotlib 2.0.0
  • Frosted 1.4.1.Post2
  • PyParsing 2.2.0
  • dateutil 2.6.0
  • Pies 2.6.7
  • cycler 0.10.0
  • scikit-image 0.13.0
  • decorator 4.0.11
  • networkx 1.11
  • Pillow 4.1.0
  • dask 0.14.1
  • toolz 0.8.2
  • olefile 0.44
  • PyWavelets 0.5.2
  • PointCloudLibrary 1.8.0
  • VTK 7.0 (OpenGL 1.1)

Version 2.2.0 / Version 2.2.1

  • compiled using Qt5.6.1-1
  • Python 3.5.1
  • Pip 8.1.2
  • Numpy 1.11.1 + MKL
  • Scipy 0.18.0
  • six 1.10.0
  • pytz 2016.6
  • Matplotlib 1.5.2
  • Frosted 1.4.1
  • PyParsing 2.1.6
  • dateutil 2.5.3
  • Pies 2.6.7
  • cycler 0.10.0
  • scikit-image 0.12.3
  • decorator 4.0.10
  • networkx 1.11
  • Pillow 3.3.0
  • dask 0.11.1
  • PointCloudLibrary 1.8.0
  • VTK 7.0 (OpenGL 1.1)

Version 2.1.0

  • compiled using Qt5.3.2
  • Python 3.5.1
  • Pip 8.0.3
  • Numpy 1.10.4 + MKL
  • Scipy 0.17.0
  • six 1.10.0
  • pytz 2015.7
  • Matplotlib 1.5.1
  • Frosted 1.4.1
  • PyParsing 2.0.3
  • six 1.9.0
  • dateutil 2.4.0
  • Pies 2.6.7
  • cycler 0.9.0
  • scikit-image 0.11.3
  • decorator 4.0.8
  • networkx 1.11
  • Pillow 3.1.1

Version 2.0.0

  • compiled using Qt5.3.2
  • Python 3.4.2
  • Numpy 1.9.2 + MKL
  • Scipy 0.15.1
  • Matplotlib 1.4.3
  • Frosted 1.4.1
  • PyParsing 2.0.3
  • six 1.9.0
  • dateutil 2.4.0
  • Pies 2.6.3

Version 1.4.0

  • Python 3.3
  • Numpy 1.8.1
  • Scipy 0.14.0
  • Matplotlib 1.3.1
  • Pillow 2.0
  • PyParsing 2.0
  • six 1.6.1
  • dateutil 2.2