svglib 1.6.0
A pure-Python library for reading and converting SVG
Requires Python: >=3.9
Keywords: PDF, SVG, conversion, graphics, reportlab

.. -*- mode: rst -*-

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Svglib
======

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A pure-Python library for reading and converting SVG
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About
-----

``Svglib`` is a Python library for reading SVG_ files and converting
them (to a reasonable degree) to other formats using the ReportLab_ Open
Source toolkit.

Used as a package you can read existing SVG files and convert them into
ReportLab ``Drawing`` objects that can be used in a variety of contexts,
e.g. as ReportLab Platypus ``Flowable`` objects or in RML_.
As a command-line tool it converts SVG files into PDF ones (but adding
other output formats like bitmap or EPS is really easy and will be better
supported, soon).

Tests include a huge `W3C SVG test suite`_ plus ca. 200 `flags from
Wikipedia`_ and some selected `symbols from Wikipedia`_ (with increasingly
less pointing to missing features).


Features
--------

- convert SVG_ files into ReportLab_ Graphics ``Drawing`` objects
- handle plain or compressed SVG files (.svg and .svgz)
- allow patterns for output files on command-line
- install a Python package named ``svglib``
- install a Python command-line script named ``svg2pdf``
- provide a PyTest_ test suite with over 90% code coverage
- test entire `W3C SVG test suite`_ after pulling from the internet
- test all SVG `flags from Wikipedia`_ after pulling from the internet
- test selected SVG `symbols from Wikipedia`_ after pulling from the net
- support Python 3.9+ and PyPy3


Known limitations
-----------------

- @import rules in stylesheets are ignored. CSS is supported, but the range
  of supported attributes is still limited
- clipping is limited to single paths, no mask support
- color gradients are not supported (limitation of reportlab)
- SVG ``ForeignObject`` elements are not supported.


Examples
--------

You can use ``svglib`` as a Python package e.g. like in the following
interactive Python session:

.. code:: python

    >>> from svglib.svglib import svg2rlg
    >>> from reportlab.graphics import renderPDF, renderPM
    >>>
    >>> drawing = svg2rlg("file.svg")
    >>> renderPDF.drawToFile(drawing, "file.pdf")
    >>> renderPM.drawToFile(drawing, "file.png", fmt="PNG")

Note that the second parameter of ``drawToFile`` can be any
`Python file object`_, like a ``BytesIO`` buffer if you don't want the result
to be written on disk for example.

In addition a script named ``svg2pdf`` can be used more easily from
the system command-line. Here is the output from ``svg2pdf -h``::

    usage: svg2pdf [-h] [-v] [-o PATH_PAT] [PATH [PATH ...]]

    svg2pdf v. x.x.x
    A converter from SVG to PDF (via ReportLab Graphics)

    positional arguments:
      PATH                  Input SVG file path with extension .svg or .svgz.

    optional arguments:
      -h, --help            show this help message and exit
      -v, --version         Print version number and exit.
      -o PATH_PAT, --output PATH_PAT
                            Set output path (incl. the placeholders: dirname,
                            basename,base, ext, now) in both, %(name)s and {name}
                            notations.

    examples:
      # convert path/file.svg to path/file.pdf
      svg2pdf path/file.svg

      # convert file1.svg to file1.pdf and file2.svgz to file2.pdf
      svg2pdf file1.svg file2.svgz

      # convert file.svg to out.pdf
      svg2pdf -o out.pdf file.svg

      # convert all SVG files in path/ to PDF files with names like:
      # path/file1.svg -> file1.pdf
      svg2pdf -o "%(base)s.pdf" path/file*.svg

      # like before but with timestamp in the PDF files:
      # path/file1.svg -> path/out-12-58-36-file1.pdf
      svg2pdf -o {{dirname}}/out-{{now.hour}}-{{now.minute}}-{{now.second}}-%(base)s.pdf path/file*.svg

    issues/pull requests:
        https://github.com/deeplook/svglib


Dependencies
------------

``Svglib`` depends mainly on the ``reportlab`` package, which provides
the abstractions for building complex ``Drawings`` which it can render
into different fileformats, including PDF, EPS, SVG and various bitmaps
ones. Other dependancies are ``lxml`` which is used in the context of SVG
CSS stylesheets.

Previous versions of this package included a way to run `cairo` without explicit
installation by the user; the dependency that took care of that no longer does
this installation, and as such, the user must install `cairo` themselves. For
installation instructions, see the official website:
https://www.cairographics.org/download/


Installation
------------

There are three ways to install ``svglib``.

1. Using ``pip``
++++++++++++++++

With the ``pip`` command on your system and a working internet
connection you can install the newest version of ``svglib`` with only
one command in a terminal::

    $ pip install svglib

You can also use ``pip`` to install the very latest version of the
repository from GitHub, but then you won't be able to conveniently
run the test suite::

    $ pip install git+https://github.com/deeplook/svglib


2. Using ``conda``
++++++++++++++++++

If you use Anaconda_ or Miniconda_ you are surely using its respective package
manager, Conda_, as well. In that case you should be able to install ``svglib``
using these simple commands::

    $ conda config --add channels conda-forge
    $ conda install svglib

``Svglib`` was kindly packaged for ``conda`` by nicoddemus_. See here more about
`svglib with conda`_.


3. Manual installation
+++++++++++++++++++++++

Alternatively, you can install a tarball like ``svglib-<version>.tar.gz``
after downloading it from the `svglib page on PyPI`_ or the
`svglib releases page on GitHub`_ and installing it via ``pip``:

    $ pip install svglib-<version>.tar.gz

This will install a Python package named ``svglib`` in the
``site-packages`` subfolder of your Python installation and a script
tool named ``svg2pdf`` in your ``bin`` directory, e.g. in
``/usr/local/bin``.

Development and Testing
-----------------------

To develop ``svglib``, install `uv`_ and run ``uv sync`` to install the
requirements and development dependencies. To run the test suite with
``pytest``, run: ``uv run pytest``.

.. _uv: https://docs.astral.sh/uv/

Distribution Testing
--------------------

The ``svglib`` tarball distribution contains a PyTest_ test suite
in the ``tests`` directory. There, in ``tests/README.rst``, you can
also read more about testing. You can run the testsuite e.g. like
shown in the following lines on the command-line::

    $ make test
    ========================= test session starts =========================
    platform darwin -- Python 3.9.6, pytest-8.4.2, pluggy-1.6.0
    rootdir: /Users/dinu/dev/svglib
    configfile: pyproject.toml
    plugins: cov-7.0.0
    collected 115 items

    tests/test_basic.py ............................................ [ 43%]
    ..................                                               [ 53%]
    tests/test_fonts.py ............s.....................s.....     [ 88%]
    tests/test_samples.py .s.s.s.s.....                              [100%]

    ============== 109 passed, 6 skipped, 1 warning in 33.32s =============


Bug reports
-----------

Please report bugs on the `svglib issue tracker`_ on GitHub (pull
requests are also appreciated)!
If necessary, please include information about the operating system, as
well as the versions of ``svglib``, ReportLab and Python being used!


.. _SVG: http://www.w3.org/Graphics/SVG/
.. _W3C SVG test suite:
      http://www.w3.org/Graphics/SVG/WG/wiki/Test_Suite_Overview
.. _flags from Wikipedia:
      https://en.wikipedia.org/wiki/Gallery_of_sovereign_state_flags
.. _symbols from Wikipedia:
      https://en.wikipedia.org/wiki/List_of_symbols
.. _ReportLab: https://www.reportlab.com/opensource/
.. _RML: https://www.reportlab.com/software/rml-reference/
.. _svglib issue tracker: https://github.com/deeplook/svglib/issues
.. _PyTest: http://pytest.org
.. _svglib page on PyPI: https://pypi.org/project/svglib/
.. _svglib releases page on GitHub: https://github.com/deeplook/svglib/releases
.. _Python file object: https://docs.python.org/3/glossary.html#term-file-object
.. _Anaconda: https://www.anaconda.com/download/
.. _Miniconda: https://conda.io/miniconda.html
.. _Conda: https://conda.io
.. _svglib with conda: https://github.com/conda-forge/svglib-feedstock
.. _nicoddemus: https://github.com/nicoddemus