Setup static code analysis for Python

Setup static code analysis for Python

Setup static code analysis with automated code formatting for Python repositories on GitHub with DeepSource.Static code analysis is the technique of approximating the runtime behaviour of a program. In other words, it is the process of predicting the output of a program without actually executing it. That’s what DeepSource does, statically analyzing your project and reporting you the potential code quality issues which can be solved within no time.

Static code analysis is the technique of approximating the runtime behaviour of a program. In other words, it is the process of predicting the output of a program without actually executing it. That’s what DeepSource does, statically analyzing your project and reporting you the potential code quality issues which can be solved within no time.

This is what we will be doing here in this blog. We will try to integrate DeepSource over a forked repo, specifically on a Python project, and run analysis over it. We will further fix some of the issues with the auto-fix tool and let transformers fix some of the styling issues for our project.

Let’s get started!

Note: In this guide, We will be analyzing only the Python project on GitHub. However, steps for other languages and platforms are similar.

Steps to integrate DeepSource with GitHub

DeepSource needs only a few steps to integrate continuous analysis on any repository. The process looks like this:

  • Create an account on DeepSource
  • Pick a Python repository to analyse.
  • Visit to DeepSource dashboard.
  • Choose your project from the repository list.
  • Add DeepSource configuration file.
  • Run the analysis.

Pretty simple, isn’t it! Let us now look into the steps in detail:

We will first look for a python project on GitHub.

Sample-Python-Project

python github

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