Skip to main content

Code checking tool for teaching Python

Project description


PyTA is a Python program which uses static code analysis to help students find and fix common coding errors in introductory Python courses. Python already has great static analysis tools like pep8 and pylint, but these tools do not necessarily have the most beginner-friendly format. PyTA has two central goals:

  1. Statically identify common coding errors by using existing linting tools and building custom linters (e.g., as pylint checkers).
  2. Present beautiful, intuitive messages to students that are both helpful for fixing errors, and good preparation for the terser messages they will see in their careers.

This is a new project started in the Summer of 2016, and takes the form of a wrapper around pylint (with custom checkers) that operates directly on Python modules, as well as a website with some supplementary material going into further detail for the emitted errors.

For greater details on the errors PyTA checks for: Help Documentation.

For help getting started using PyTA: Quick Start.


If you're interested in using PyTA, you can install it using pip (or pip3, on OSX/Linux):

> pip install python-ta


If you're developing PyTA:

  1. First, clone this repository.
  2. Open a terminal in this repo, and run pip install -e .[dev] to install the dependencies.
  3. Then run pre-commit install to install the pre-commit hooks (for automatically formatting and checking your code on each commit).

While not strictly necessary for debugging, some debugging tools require graphviz to be installed on your system.


To run the test suite, run the following command from inside the pyta directory:

> python -m pytest tests  # Or python3 on OSX/Linux

Generating the docs

The PyTA documentation is generated using Sphinx. To generate the documentation locally, run the commands:

> cd docs
> make html

Then open the file docs/_build/index.html in your web browser!


You can currently see a proof of concept in this repository. Clone it, and then run python in this directory (PyTA is primarily meant to be included as a library). In the Python interpreter, try running:

>>> import python_ta
>>> python_ta.check_all('examples.forbidden_import_example')
[Some output should be shown]
>>> python_ta.doc('E9999')


Lorena Buciu, Simon Chen, Nigel Fong, Adam Gleizer, Ibrahim Hasan, Niayesh Ilkhani, Craig Katsube, Rebecca Kay, Christopher Koehler, David Kim, Simeon Krastnikov, Ryan Lee, Hayley Lin, Wendy Liu, Shweta Mogalapalli, Ignas Panero Armoska, Justin Park, Amr Sharaf, Kavin Singh, Alexey Strokach, Jasmine Wu, Philippe Yu

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

python-ta-2.2.0.tar.gz (200.5 kB view hashes)

Uploaded source

Built Distribution

python_ta-2.2.0-py3-none-any.whl (237.4 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page