Main website: http://pytango.readthedocs.io
Python binding for Tango, a library dedicated to distributed control systems.
PyTango exposes the complete Tango C++ API through the tango python module. It also adds a bit of abstraction by taking advantage of the Python capabilites:
tango.clientprovides a client access to device servers and databases.tango.serverprovides base classes to declare and run device servers.
PyTango is compatible with python 2 and python 3.
General dependencies:
- libtango >= 9.3, and its dependencies: omniORB4 and libzmq
- Boost.Python >= 1.33
Python dependencies:
Build dependencies:
Optional dependencies:
Note
As a general rule, libtango and pytango should share the same major and minor version (for a version X.Y.Z, X and Y should match). On some systems you may need to install libtango, omniORB4 and libzmq related development packages.
PyTango is available on PyPI as pytango:
$ pip install pytangoAlternatively, PyTango can be built and installed from the sources:
$ python setup.py installIn both cases, the installation takes a few minutes since the _tango boost extension has to compile.
Note
For custom Boost.Python installation locations, environment variables can be used to modify the default paths. See the description of the BOOST_ROOT and related variables in the setup.py file.
To test the installation, import tango and check tango.utils.info():
>>> import tango
>>> print(tango.utils.info())
PyTango 9.3.3 (9, 3, 3)
PyTango compiled with:
Python : 2.7.15
Numpy : 1.16.2
Tango : 9.3.3
Boost : 1.67.0
PyTango runtime is:
Python : 2.7.15
Numpy : 1.16.2
Tango : 9.3.3
PyTango running on:
('Linux', 'hostname', '4.4.0-131-generic', '#157-Ubuntu SMP Sat Jul 27 06:00:36 UTC 2019', 'x86_64', 'x86_64')For an interactive use, consider using ITango, a tango IPython profile.
Check out the documentation for more informations.
You can get support from the Tango forums, for both Tango and PyTango questions.
All contributions, PR and bug reports are welcome, please see: How to Contribute !