https://github.com/squareslab/kaskara

A simple API frontend for various static analysers (e.g., Clang)
https://github.com/squareslab/kaskara

analysis clang python

Last synced: 23 days ago
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A simple API frontend for various static analysers (e.g., Clang)

• Host: GitHub
• URL: https://github.com/squareslab/kaskara
• Owner: squaresLab
• License: apache-2.0
• Created: 2018-06-28T02:24:10.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-07-14T03:26:19.000Z (over 1 year ago)
• Last Synced: 2025-04-21T18:57:22.275Z (9 months ago)
• Topics: analysis, clang, python
• Language: Python
• Homepage:
• Size: 1.04 MB
• Stars: 3
• Watchers: 5
• Forks: 0
• Open Issues: 18
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

Awesome Lists containing this project

README

          
.. -*-restructuredtext-*-

Kaskara

=======

.. image:: https://badge.fury.io/py/kaskara.svg

    :target: https://badge.fury.io/py/kaskara

.. image:: https://img.shields.io/pypi/pyversions/kaskara.svg

    :target: https://pypi.org/project/kaskara

A simple library for performing static analysis on programs in a variety of languages for the purpose of program repair.

Kaskara avoids dependency hell when analysing programs by making use of Docker.

* Kaskara provides C and C++ analysis support via its Clang driver

* As of January 2020, Kaskara now provides support for Python analysis

.. image:: ./logo.png

Post-Installation

-----------------

After installing the `kaskara` package as a dependency of your project, you should execute the following code to complete the installation by building the support backends:

.. code:: python

    import kaskara

    kaskara.post_install()

Requirements

------------

* **WARNING:** The clang backend only works with glibc-based Docker images.

  Images that rely on an alternative libc implementation (e.g., Alpine relies on musl) are not supported.

Development

-----------

If you want to play with the Kaskara Clang backend from within a Docker container, you can use the following commands:

.. code:: bash

    make postinstall

    docker run --rm -v kaskara-clang:/opt/kaskara:ro -it your-image-name

This will first install Kaskara to a Docker volume, containing portable binaries and libraries, and then run a container with the volume mounted at `/opt/kaskara`.

You can also interact with Kaskara via the WIP command line:

.. code:: bash

    poetry run kaskara clang index \

        kaskara/examples:BehaviorTree.CPP \

        /workspace \

        /workspace/src/blackboard.cpp