pytango | Python binding to

by vallsv Python Version: Current License: GNU LGPLv3

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | pytango Summary

pytango is a Python library. pytango has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However pytango build file is not available. You can download it from GitLab.

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:.

Support

Quality

Security

License

Reuse

Support

pytango has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

pytango has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pytango is current.

Quality

pytango has no bugs reported.

Security

pytango has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pytango is licensed under the GNU LGPLv3 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

pytango releases are not available. You will need to build from source code and install.

pytango has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

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pytango Key Features

No Key Features are available at this moment for pytango.

pytango Examples and Code Snippets

No Code Snippets are available at this moment for pytango.

Community Discussions

No Community Discussions are available at this moment for pytango.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pytango

$ pip install pytango.
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.