Skip to content

samuelpedrini/uniconvertor

 
 

Repository files navigation

UniConvertor 2.0

build status

UniConvertor 2.0

UniConvertor 2.0 is a multiplatform universal vector graphics translator. Uses sK1 2.0 model to convert one format to another.

sK1 Project (https://sk1project.net)

How to install:


  • to build package: python setup.py build
  • to install package: python setup.py install
  • to remove installation: python setup.py uninstall

  • to create source distribution: python setup.py sdist

  • to create binary RPM distribution: python setup.py bdist_rpm
  • to create binary DEB distribution: python setup.py bdist_deb

  • help on available distribution formats: python setup.py bdist --help-formats

DETAILS

If you wish testing UniConvertor 2.0 you have two installation ways. First option is a distutils install with commands:

python setup.py build
python setup.py install

But this way is not recommended. The most preferred option is a package installation (deb or rpm). You can create package using command:

python setup.py bdist_deb (for Ubuntu|Mint|Debian etc.)
python setup.py bdist_rpm (for Fedora|OpenSuse|Mageia etc.)

By installing the package you have full control over all the installed files and can easily remove them from the system (it's important for application preview).

Dependencies

Please note that application uses Python 2.x version. So Python interpreter and python based dependencies should be for 2.x, but not 3.x

For successful build either distutils or deb|rpm package you need installing some development packages. We describe dev-packages for Ubuntu|Debian, but for other distros they have similar names. So, you need:

git
libcairo2-dev
liblcms2-dev
libmagickwand-dev
libpango1.0-dev
python-dev
python-cairo-dev

To run application you need installing also:

python-pil 
python-reportlab
python-cairo

About

UniConvertor is a universal vector graphics translator

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 91.4%
  • Gnuplot 5.2%
  • C 3.4%