Langkit (nickname for language kit) is a tool whose purpose is to make it easy to create syntactic and semantic analysis engines. Write a language specification in our Python DSL and Langkit will generate for you an Ada library with bindings for the C and Python programming languages.

The generated library is meant to provide a basis to write tooling, including tools working on potentially changing and incorrect code, such as IDEs.

The currently main Langkit user is Libadalang, a high performance semantic engine for the Ada programming language.

To use Langkit:

• Quex version 0.65.4 Follow the installation guide in the quex README
• The mako template system for Python (see REQUIREMENTS.dev)
• Clang-format

Note that for now, Langkit requires a Python 2.7 interpreter. That being said, Python3 support is planned and we should not be very far from it.

There is no proper distribution for the langkit Python package, so just add the top-level langkit directory to your PYTHONPATH in order to use it. Note that this directory is self-contained, so you can copy it somewhere else.

First, make sure the langkit package is available from the Python interpreter (see Install). Then, in order to run the testsuite, launch the following command from the top-level directory:

$ scripts/interactive_testsuite

This is just a wrapper script passing convenient options to the real testsuite driver that is in testsuite/testsuite.py.

If you want to learn more about this test driver's options (for instance to run tests under Valgrind), add a -h flag.

The developer and user's documentation for Langkit is in langkit/doc. You can consult it as a text files or you can build it. For instance, to generate HTML documents, run from the top directory:

$ make -C langkit/doc html

And then open the following file in your favorite browser:

langkit/doc/_build/html/index.html

Nothing is more simple than getting an initial project skeleton to work on a new language engine. Imagine you want to create an engine for the Foo language, run from the top-level directory:

$ python langkit/create-project.py Foo

And then have a look at the created foo directory: you have minimal lexers and parsers and a manage.py script you can use to build this new engine:

$ python foo/manage.py make

Here you are!

Langkit uses mako templates generating Ada, C and Python code. This can be hard to read. To ease development, Vim syntax files are available under the utils directory (see makoada.vim, makocpp.vim). Install them in your $HOME/.vim/syntax directory to get automatic highlighting of the template files.